CN114885336B - Interference coordination method, device and storage medium - Google Patents

Abstract

The application provides an interference coordination method, an interference coordination device and a storage medium, relates to the field of communication, and can solve the problem that resource allocation is unreasonable in the process of executing interference coordination in the related technology. The method comprises the following steps: predicting scrambling cells within a first time period; the interference exerting cell is a cell which causes interference to a target cell or a target UE; determining an interference cell group according to the interference cells in the first duration; for each first cell, determining an interference coordination parameter of the first cell in a first duration; determining a target interference coordination type and an allocated transmission resource executed by each first cell in a first duration according to the interference coordination parameters of each first cell; transmitting interference coordination information to a first cell; the interference coordination information is used to indicate transmission resources to be allocated by the first cell. The application can reasonably schedule resources and avoid influencing the network performance of the cell in the process of executing interference coordination.

Description

Interference coordination method, device and storage medium

Technical Field

The present application relates to the field of communications, and in particular to an interference coordination method, device and storage medium.

Background technique

In order to improve the efficiency of communication resource utilization, communication networks usually adopt frequency reuse networking, that is, adjacent cells use the same spectrum resources. However, different cells may interfere with each other, so interference coordination is required for the interfering cells.

The principle of interference coordination is to adjust the transmission resource allocation method of the disturbed cell and the disturbing cell so that different cells use different transmission resources to suppress inter-cell interference. At present, the relevant technology usually performs interference coordination by static configuration. Since the allocated resources are pre-configured, that is, the interference coordination type adopted by the cell, the resource allocation method of the disturbing cell and the disturbed cell are pre-configured on the base station side, and cannot be dynamically adjusted according to the changes in the resources and load of the cell, it will cause unreasonable resource allocation problems in the process of performing interference coordination, thereby affecting the network performance of the cell.

Summary of the invention

The present application provides an interference coordination method, device and storage medium, which can reasonably schedule resources to avoid affecting the network performance of a cell.

In order to achieve the above objectives, this application adopts the following technical solutions:

In a first aspect, the present application provides an interference coordination method, the method comprising: predicting an interfering cell within a first time period; the interfering cell is a cell that causes interference to a target cell or a target UE; the target UE is any UE accessing the target cell; the first time period is the time period after the current moment; determining an interfering cell group according to the interfering cell within the first time period; the interfering cell group includes the target cell and the interfering cell to be interfered with in the interfering cell; for each first cell, determining the interference coordination parameters of the first cell within the first time period; the interference coordination parameters include at least one of the supported interference coordination type, time domain transmission resource utilization, frequency domain transmission resource utilization and service load; the first cell is any cell in the interfering cell group; determining the target interference coordination type and allocated transmission resources to be performed by the first cell within the first time period according to the interference coordination parameters of each first cell; sending interference coordination information to the first cell; the interference coordination information is used to indicate the transmission resources to be allocated to the first cell.

Based on the above technical solution, the interference coordination device in the present application predicts the interfering cell that causes interference to the target cell or target UE within the first time period, and determines the interfering cell group that needs to perform interference coordination based on the interfering cell. At the same time, the interference coordination device predicts the interference coordination parameters of each first cell, and determines the transmission resources allocated to the first cell on the target interference coordination type based on the interference coordination parameters, so that the first cell performs service transmission on the allocated transmission resources, thereby avoiding signal interference problems between cells. Therefore, the present application can dynamically determine the interfering cell group in the future time period, as well as the interference coordination parameters of each cell in the interfering cell group, and then adaptively allocate the required transmission resources to each cell, so that the interference coordination device can reasonably schedule resources in the process of performing interference coordination to avoid affecting the network performance of the cell.

In combination with the above-mentioned first aspect, in a possible implementation method, the method also includes: sending an interference coordination parameter request message to the access network device where the first cell is located; the interference coordination parameter request message is used to request to obtain the interference coordination parameters of the first cell within at least one second time period; receiving an interference coordination parameter response message sent by the access network device where the first cell is located; the interference coordination parameter response message includes the interference coordination parameters of the first cell within at least one second time period.

In combination with the above-mentioned first aspect, in a possible implementation method, the method also includes: obtaining a parameter prediction model for each first cell; the parameter prediction model is used to predict a first interference coordination parameter of the first cell within a target time period; the first interference coordination parameter is any one of time domain transmission resource utilization, frequency domain transmission resource utilization, and service load; for each first cell, the first time length is input into the parameter prediction model corresponding to the first cell to obtain the first interference coordination parameter of the first cell within the first time length.

In combination with the above-mentioned first aspect, in a possible implementation method, the method also includes: for each first cell, training a parameter prediction model based on at least one second time length and a first interference coordination parameter within at least one second time length; multiple first cells correspond one-to-one to multiple parameter prediction models.

In combination with the above-mentioned first aspect, in a possible implementation method, the method also includes: determining the target interference coordination type to be performed by the first cell within the first time period according to the interference coordination type supported by each first cell, the time domain transmission resource utilization, and the frequency domain transmission resource utilization; determining the transmission resources allocated to the first cell within the first time period according to the service load of each first cell within the first time period.

In combination with the above-mentioned first aspect, in a possible implementation method, the interference coordination types include: time domain interference coordination, frequency domain interference coordination and power interference coordination; the method also includes: determining the overall time domain utilization of the interference cell group according to the time domain transmission resource utilization of each first cell; determining the overall frequency domain utilization of the interference cell group according to the frequency domain transmission resource utilization of each first cell; determining the interference coordination type with the highest priority among the interference coordination types supported by each first cell as the target interference coordination type to be executed by the first cell within the first time period; the priority of the interference coordination type is determined by the overall time domain utilization and the overall frequency domain utilization.

In combination with the above-mentioned first aspect, in a possible implementation method, when the overall time domain utilization is less than the overall frequency domain utilization, the priority of time domain interference coordination is higher than the priority of frequency domain interference coordination, and the priority of frequency domain interference coordination is higher than the priority of power interference coordination; when the overall time domain utilization is greater than or equal to the overall frequency domain utilization, the priority of frequency domain interference coordination is higher than the priority of time domain interference coordination, and the priority of time domain interference coordination is higher than the priority of power interference coordination.

In combination with the above-mentioned first aspect, in a possible implementation method, when the target interference coordination type is time domain interference coordination, the number of subframes available in the target cell in each data frame and the number of subframes available in the interfering cell to be interfered with in each data frame are determined according to the service load of the target cell in the first time period and the service load of the interfering cell to be interfered with in the first time period; when the target interference coordination type is frequency domain interference coordination, the resource blocks overlapping in the frequency domain between the target cell and the interfering cell to be interfered with are determined; and the resource blocks available in the target cell in the overlapping resource blocks and the resource blocks available in the interfering cell to be interfered with are determined according to the service load of the target cell in the first time period and the service load of the interfering cell to be interfered with in the first time period.

In combination with the above-mentioned first aspect, in a possible implementation manner, the method also includes: when the target interference coordination type is power interference coordination, determining the power reduction value of the interfering cell to be interfered with according to the edge coverage rate of the interfering cell to be interfered with; the edge coverage rate is the average value of the signal strength of the interfering cell to be interfered with received by the edge UE within a preset time; the edge UE is a UE that accesses the interfering cell to be interfered with and meets the second preset condition; the second preset condition includes: the signal strength of the interfering cell to be interfered with received by the UE is less than the second preset threshold, or the distance between the UE and the access network device where the interfering cell to be interfered with is located is greater than the third preset threshold.

In combination with the first aspect above, in a possible implementation manner, the number of subframes available to the target cell in each data frame satisfies the following formula:

Among them, _Ni is the number of subframes available in the target cell in each data frame, _Ti is the service load of the target cell in the first time length, _{Ts is} the service load of the interfering cell for which interference coordination is to be performed in the first time length, and N is the number of subframes included in the data frame.

The number of subframes available in each data frame of the interfering cell to be interfered with by the interference coordination satisfies the following formula:

Among them, _Ns is the number of subframes available in each data frame of the interfering cell to perform interference coordination, _Ti is the service load of the target cell in the first time length, Ts _is the service load of the interfering cell to perform interference coordination in the first time length, and N is the number of subframes included in the data frame.

The resource blocks available in the target cell in the overlapping resource blocks satisfy the following formula:

Wherein, _Pi is the available resource block of the target cell in the overlapping resource blocks, _Ti is the service load of the target cell in the first time period, _{Ts is} the service load of the interfering cell for which interference coordination is to be performed in the first time period, and P is the overlapping resource block.

The resource blocks available in the overlapping resource blocks of the interfering cell to be subjected to interference coordination satisfy the following formula:

Wherein, _Ps is the available resource block of the interfering cell to be interfered with in the overlapping resource blocks, _Ti is the service load of the target cell in the first time length, Ts _is the service load of the interfering cell to be interfered with in the first time length, and P is the overlapping resource block.

In combination with the first aspect, in a possible implementation manner, the interfering cell includes at least one of an uplink interfering cell and a downlink interfering cell, the uplink interfering cell is a cell that causes interference to the target cell, and the downlink interfering cell is a cell that causes interference to the target UE.

In combination with the above-mentioned first aspect, in a possible implementation manner, the method further includes: when the disturbing cell includes an uplink disturbing cell, predicting the uplink disturbing cell within a first time length; when the disturbing cell includes a downlink disturbing cell, predicting the downlink disturbing cell within the first time length.

In combination with the above-mentioned first aspect, in a possible implementation, the method also includes: obtaining a first prediction model; the first prediction model is used to predict the uplink interference cell within the target time period; the first time length is input into the first prediction model to obtain the uplink interference cell within the first time length.

In combination with the above-mentioned first aspect, in a possible implementation manner, the method also includes: obtaining a first prediction model based on at least one second time length and an identification of an uplink interfering cell within at least one second time length; the second time length is the time length before the current moment.

In combination with the above-mentioned first aspect, in a possible implementation method, the method also includes: obtaining a second prediction model and a third prediction model for each target UE; the second prediction model is used to predict the downlink interference cell of the target UE within the target time period; the third prediction model is used to predict the location information of the target UE within the target time period; the first time length is input into each third prediction model respectively to obtain the location information of multiple target UEs within the first time length; the first time length and the location information of each target UE within the first time length are input into the second prediction model respectively to obtain the downlink interference cell within the first time length.

In combination with the above-mentioned first aspect, in a possible implementation method, the method also includes: training a second prediction model based on at least one second time length, location information of the target UE within at least one second time length, and an identifier of a downlink interfering cell within at least one second time length; the second time length is the time length before the current moment; for each target UE, training a third prediction model based on at least one second time length and location information within at least one second time length; multiple target UEs correspond one-to-one to multiple third prediction models.

In combination with the above-mentioned first aspect, in a possible implementation method, the method also includes: determining at least one target UE cluster based on the location information of each target UE within at least one second time length; the target UE cluster includes multiple target UEs; the second time length is the time length before the current moment; obtaining a fourth prediction model for each target UE cluster; the fourth prediction model is used to predict the downlink interference cell of the target UE cluster within the target time period; for each target UE cluster, inputting the first time length into the fourth prediction model corresponding to the target UE cluster to obtain the downlink interference cells of the multiple target UEs included in the target UE cluster within the first time length.

In combination with the above-mentioned first aspect, in a possible implementation, the method also includes: for each target UE cluster, training a fourth prediction model based on at least one second time length and the identifiers of downlink interference cells of multiple target UEs within at least one second time length; multiple target UE clusters correspond one-to-one to multiple fourth prediction models.

In combination with the above-mentioned first aspect, in a possible implementation method, the method also includes: for each second time length, clustering the location information of the target UE within the second time length through a clustering algorithm to obtain at least one UE cluster within the second time length; the UE cluster includes at least one target UE; matching at least one UE cluster included in each of any two adjacent second time lengths through a matching algorithm to determine at least one target UE cluster; any two adjacent second time lengths are two consecutive second time lengths after at least one second time length is arranged in chronological order.

In combination with the above-mentioned first aspect, in a possible implementation, the method also includes: determining that each target UE cluster in at least one target UE cluster includes multiple target UEs that meet a third preset condition; wherein the third preset condition includes that the ratio of the number of matching durations to the total number of at least one second duration is greater than a seventh preset threshold; within the matching duration, there is at least one target UE in the target UE cluster other than the first target UE, and the distance between the target UE and the first target UE is less than an eighth preset threshold; the first target UE is any target UE in the target UE cluster.

In combination with the above-mentioned first aspect, in a possible implementation, the method also includes: sending a location request message to the access network device where the target cell is located; the location request message is used to request the location information of the target UE within at least one second time period; receiving a location response message sent by the access network device where the target cell is located; the location response message includes the location information of the target UE within at least one second time period.

In combination with the above-mentioned first aspect, in a possible implementation manner, the method also includes: when the disturbing cell includes an uplink disturbing cell, the uplink disturbing cell is used as the first disturbing cell; when the disturbing cell includes a downlink disturbing cell, the cell in the downlink disturbing cell that meets the first preset condition is used as the second disturbing cell; the first preset condition includes: the ratio of the number of interfered target UEs to the number of UEs accessing the target cell is greater than or equal to a first preset threshold; and it is determined that the interfering cell group includes at least one of the first disturbing cell and the second disturbing cell.

In a second aspect, the present application provides an interference coordination device, which includes: a communication unit and a processing unit: the processing unit is used to predict an interfering cell within a first time period; the interfering cell is a cell that causes interference to a target cell or a target UE; the target UE is any UE accessing the target cell; the first time period is the time period after the current moment; the processing unit is also used to determine an interfering cell group according to the interfering cell within the first time period; the interfering cell group includes the target cell and the interfering cell to be interfered with in the interfering cell; the processing unit is also used to determine, for each first cell, an interference coordination parameter of the first cell within the first time period; the interference coordination parameter includes at least one of the supported interference coordination type, the time domain transmission resource utilization rate, the frequency domain transmission resource utilization rate and the service load; the first cell is any cell in the interfering cell group; the processing unit is also used to determine the target interference coordination type and the allocated transmission resources to be performed by the first cell within the first time period according to the interference coordination parameter of each first cell; the communication unit is used to send interference coordination information to the first cell; the interference coordination information is used to indicate the transmission resources to be allocated to the first cell.

In combination with the above-mentioned second aspect, in a possible implementation method, the communication unit is used to: send an interference coordination parameter request message to the access network device where the first cell is located; the interference coordination parameter request message is used to request to obtain the interference coordination parameters of the first cell within at least one second time period; receive an interference coordination parameter response message sent by the access network device where the first cell is located; the interference coordination parameter response message includes the interference coordination parameters of the first cell within at least one second time period.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: obtain a parameter prediction model for each first cell; the parameter prediction model is used to predict a first interference coordination parameter of the first cell within a target time period; the first interference coordination parameter is any one of time domain transmission resource utilization, frequency domain transmission resource utilization, and service load; for each first cell, the first time length is input into the parameter prediction model corresponding to the first cell to obtain the first interference coordination parameter of the first cell within the first time length.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: for each first cell, train a parameter prediction model based on at least one second time length and a first interference coordination parameter within at least one second time length; multiple first cells correspond one-to-one to multiple parameter prediction models.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: determine the target interference coordination type performed by the first cell within the first time period according to the interference coordination type supported by each first cell, the time domain transmission resource utilization, and the frequency domain transmission resource utilization; determine the transmission resources allocated to the first cell within the first time period according to the service load of each first cell within the first time period.

In combination with the above-mentioned second aspect, in a possible implementation method, the interference coordination types include: time domain interference coordination, frequency domain interference coordination and power interference coordination; the processing unit is used to: determine the overall time domain utilization of the interference cell group according to the time domain transmission resource utilization of each first cell; determine the overall frequency domain utilization of the interference cell group according to the frequency domain transmission resource utilization of each first cell; determine the interference coordination type with the highest priority among the interference coordination types supported by each first cell as the target interference coordination type to be executed by the first cell within the first time period; the priority of the interference coordination type is determined by the overall time domain utilization and the overall frequency domain utilization.

In combination with the above-mentioned second aspect, in a possible implementation method, when the overall time domain utilization is less than the overall frequency domain utilization, the priority of time domain interference coordination is higher than the priority of frequency domain interference coordination, and the priority of frequency domain interference coordination is higher than the priority of power interference coordination; when the overall time domain utilization is greater than or equal to the overall frequency domain utilization, the priority of frequency domain interference coordination is higher than the priority of time domain interference coordination, and the priority of time domain interference coordination is higher than the priority of power interference coordination.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: when the target interference coordination type is time domain interference coordination, determine the number of subframes available in the target cell in each data frame, and the number of subframes available in the interfering cell to be interfered with in each data frame according to the service load of the target cell in the first time length and the service load of the interfering cell to be interfered with in the first time length; when the target interference coordination type is frequency domain interference coordination, determine the resource blocks overlapping in the frequency domain between the target cell and the interfering cell to be interfered with; determine the resource blocks available in the target cell in the overlapping resource blocks, and the resource blocks available in the interfering cell to be interfered with in the overlapping resource blocks according to the service load of the target cell in the first time length and the service load of the interfering cell to be interfered with in the first time length.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: when the target interference coordination type is power interference coordination, determine the power reduction value of the interfering cell to be interfered with according to the edge coverage rate of the interfering cell to be interfered with; the edge coverage rate is the average value of the signal strength of the interfering cell to be interfered with received by the edge UE within a preset time; the edge UE is a UE that accesses the interfering cell to be interfered with and meets the second preset condition; the second preset condition includes: the signal strength of the interfering cell to be interfered with received by the UE is less than the second preset threshold, or the distance between the UE and the access network device where the interfering cell to be interfered with is located is greater than the third preset threshold.

In combination with the second aspect, in a possible implementation manner, the number of subframes available to the target cell in each data frame satisfies the following formula:

Among them, _Ni is the number of subframes available in the target cell in each data frame, _Ti is the service load of the target cell in the first time length, _{Ts is} the service load of the interfering cell for which interference coordination is to be performed in the first time length, and N is the number of subframes included in the data frame.

The number of subframes available in each data frame of the interfering cell to be interfered with by the interference coordination satisfies the following formula:

Among them, _Ns is the number of subframes available in each data frame of the interfering cell to perform interference coordination, _Ti is the service load of the target cell in the first time length, Ts _is the service load of the interfering cell to perform interference coordination in the first time length, and N is the number of subframes included in the data frame.

The resource blocks available in the target cell in the overlapping resource blocks satisfy the following formula:

Wherein, _Pi is the available resource block of the target cell in the overlapping resource blocks, _Ti is the service load of the target cell in the first time period, _{Ts is} the service load of the interfering cell for which interference coordination is to be performed in the first time period, and P is the overlapping resource block.

The resource blocks available in the overlapping resource blocks of the interfering cell to be subjected to interference coordination satisfy the following formula:

Wherein, _Ps is the available resource block of the interfering cell to be interfered with in the overlapping resource blocks, _Ti is the service load of the target cell in the first time length, Ts _is the service load of the interfering cell to be interfered with in the first time length, and P is the overlapping resource block.

In combination with the above second aspect, in a possible implementation manner, the interfering cell includes at least one of an uplink interfering cell and a downlink interfering cell, the uplink interfering cell is a cell that causes interference to the target cell, and the downlink interfering cell is a cell that causes interference to the target UE.

In combination with the above-mentioned second aspect, in a possible implementation manner, the processing unit is used to: when the interfering cell includes an uplink interfering cell, predict the uplink interfering cell within a first time length; when the interfering cell includes a downlink interfering cell, predict the downlink interfering cell within the first time length.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: obtain a first prediction model; the first prediction model is used to predict the uplink interference cell within the target time period; the first time length is input into the first prediction model to obtain the uplink interference cell within the first time length.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: obtain a first prediction model based on at least one second time length and the identification of an uplink interfering cell within at least one second time length; the second time length is the time length before the current moment.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: obtain a second prediction model and a third prediction model for each target UE; the second prediction model is used to predict the downlink interference cell of the target UE within the target time period; the third prediction model is used to predict the location information of the target UE within the target time period; the first time length is input into each third prediction model respectively to obtain the location information of multiple target UEs within the first time length; the first time length and the location information of each target UE within the first time length are input into the second prediction model respectively to obtain the downlink interference cell within the first time length.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: train a second prediction model based on at least one second time length, location information of the target UE within at least one second time length, and an identifier of a downlink interfering cell within at least one second time length; the second time length is the time length before the current moment; for each target UE, train a third prediction model based on at least one second time length and location information within at least one second time length; multiple target UEs correspond one-to-one to multiple third prediction models.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: determine at least one target UE cluster based on the location information of each target UE within at least one second time length; the target UE cluster includes multiple target UEs; the second time length is the time length before the current moment; obtain a fourth prediction model for each target UE cluster; the fourth prediction model is used to predict the downlink interference cell of the target UE cluster within the target time period; for each target UE cluster, input the first time length into the fourth prediction model corresponding to the target UE cluster to obtain the downlink interference cells of the multiple target UEs included in the target UE cluster within the first time length.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: for each target UE cluster, train a fourth prediction model based on at least one second time length and the identifiers of downlink interference cells of multiple target UEs within at least one second time length; multiple target UE clusters correspond one-to-one to multiple fourth prediction models.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: for each second time length, cluster the location information of the target UE within the second time length through a clustering algorithm to obtain at least one UE cluster within the second time length; the UE cluster includes at least one target UE; match at least one UE cluster included in each of any two adjacent second time lengths through a matching algorithm to determine at least one target UE cluster; any two adjacent second time lengths are two consecutive second time lengths after at least one second time length is arranged in chronological order.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: determine that each target UE cluster in at least one target UE cluster includes multiple target UEs that meet a third preset condition; wherein the third preset condition includes that the ratio of the number of matching durations to the total number of at least one second duration is greater than a seventh preset threshold; within the matching duration, there is at least one target UE in the target UE cluster other than the first target UE, and the distance between the target UE and the first target UE is less than an eighth preset threshold; the first target UE is any target UE in the target UE cluster.

In combination with the above-mentioned second aspect, in a possible implementation method, the communication unit is used to: send a location request message to the access network device where the target cell is located; the location request message is used to request the location information of the target UE within at least one second time period; receive a location response message sent by the access network device where the target cell is located; the location response message includes the location information of the target UE within at least one second time period.

In combination with the above-mentioned second aspect, in a possible implementation method, the processing unit is used to: when the interfering cell includes an uplink interfering cell, use the uplink interfering cell as the first interfering cell; when the interfering cell includes a downlink interfering cell, use the cell in the downlink interfering cell that meets the first preset condition as the second interfering cell; the first preset condition includes: the ratio of the number of interfered target UEs to the number of UEs accessing the target cell is greater than or equal to a first preset threshold; determine that the interfering cell group includes at least one of the first interfering cell and the second interfering cell.

In a third aspect, the present application provides an interference coordination device, comprising: a processor and a communication interface; the communication interface and the processor are coupled, and the processor is used to run a computer program or instructions to implement the interference coordination method described in the first aspect and any possible implementation method of the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a terminal, the terminal executes the interference coordination method described in the first aspect and any possible implementation of the first aspect.

In a fifth aspect, the present application provides a computer program product comprising instructions, which, when executed on an interference coordination device, enables the interference coordination device to perform the interference coordination method as described in the first aspect and any possible implementation manner of the first aspect.

In a sixth aspect, the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface and the processor are coupled, and the processor is used to run a computer program or instructions to implement the interference coordination method as described in the first aspect and any possible implementation method of the first aspect.

Specifically, the chip provided in the present application also includes a memory for storing computer programs or instructions.

It should be noted that the above computer instructions may be stored in whole or in part on a computer-readable storage medium, wherein the computer-readable storage medium may be packaged together with the processor of the device, or may be packaged separately from the processor of the device, which is not limited in this application.

In a seventh aspect, the present application provides an interference coordination system, comprising: an interference coordination device and multiple cells, wherein the interference coordination device is used to execute the interference coordination method described in the first aspect and any possible implementation manner of the first aspect.

The descriptions of the second to seventh aspects of the present invention can refer to the detailed description of the first aspect; and the beneficial effects of the descriptions of the second to seventh aspects can refer to the beneficial effect analysis of the first aspect, which will not be repeated here.

In this application, the name of the interference coordination device does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear with other names. As long as the functions of each device or functional module are similar to those of the present invention, they belong to the scope of the claims of the present invention and their equivalent technologies.

These and other aspects of the present invention will become more apparent from the following description.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is an architecture diagram of an interference coordination system provided in an embodiment of the present application;

FIG2 is a flow chart of an interference coordination method provided by an embodiment of the present application;

FIG3 is a flow chart of another interference coordination method provided in an embodiment of the present application;

FIG4 is a flow chart of another interference coordination method provided in an embodiment of the present application;

FIG5 is a flow chart of another interference coordination method provided in an embodiment of the present application;

FIG6 is a schematic diagram of the structure of an interference coordination device provided in an embodiment of the present application;

FIG. 7 is a schematic diagram of the structure of another interference coordination device provided in an embodiment of the present application.

Detailed ways

The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

The term "and/or" in this article is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and/or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

The terms "first" and "second" and the like in the specification and drawings of this application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

In addition, the terms "including" and "having" and any variations thereof mentioned in the description of the present application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

In the description of the present application, unless otherwise specified, “plurality” means two or more.

In order to improve the efficiency of communication resource utilization, communication networks usually adopt frequency reuse networking, that is, adjacent cells use the same spectrum resources. However, different cells may interfere with each other, so interference coordination is required for the interfering cells.

At present, related technologies usually perform interference coordination through static configuration. Since the allocated resources are pre-configured, that is, the interference coordination type adopted by the cell, the resource allocation method of the interfering cell and the disturbed cell are all pre-configured on the base station side, and cannot be dynamically adjusted according to the changes in the resources and load of the cell, it will cause unreasonable resource allocation problems in the process of performing interference coordination, thereby affecting the network performance of the cell.

In view of this, the present application provides an interference coordination method, in which an interference coordination device determines an interference cell group that needs to perform interference coordination by predicting the interfering cells that cause interference to the target cell in a future time period. The interference coordination device further determines the interference coordination parameters of each cell in the interference cell group in the future time period, thereby determining the type of interference coordination performed by each cell in the future time period and the allocated transmission resources according to the interference coordination parameters, so that each cell performs services on the allocated transmission resources. Therefore, the present application can dynamically determine the interference cell group in the future time period, as well as the interference coordination parameters of each cell in the interference cell group, and then adaptively determine the type of interference coordination performed by the interference cell group in the future time period and the transmission resources required for each cell allocation, so that the interference coordination device can reasonably schedule resources in the process of performing interference coordination to avoid affecting the network performance of the cell.

The implementation of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

Fig. 1 is an architecture diagram of an interference coordination system 10 provided in an embodiment of the present application. As shown in Fig. 1 , the interference coordination system 10 includes: an interference coordination device 101 , at least one access network device 102 in a preset area, and at least one user equipment (UE) 103 .

The interference coordination device 101 is connected to at least one access network device 102 via a communication link, and at least one access network device 102 is connected to a UE 103 in a configured cell via a communication link. The communication link may be a wired communication link or a wireless communication link, which is not limited in this application.

It should be noted that each access network device 102 is configured with one or more cells. The UE 103 in the cell performs network communication by accessing the access network device 102 corresponding to the cell. The interference coordination device 101 obtains parameter information of each cell and the UE 103 in each cell through the access network device 102. For example, the location information of the UE 103, the cell identification, the cell transmission resource utilization, the service load, etc.

The interference coordination device 101 may be an independent communication device, such as a server. The interference coordination device 101 may also be a functional module coupled to the access network device 102, a core network device in the communication system, or a communication device maintenance platform.

For example, the interference coordination device 101 includes:

Processor, the processor can be a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits used to control the execution of the program of the present application.

Transceiver, a transceiver can be a device using any transceiver type for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

Memory, the memory may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may exist independently and be connected to the processor through a communication line. The memory may also be integrated with the processor.

The access network device 102 is located at the access network side of the communication system and is a device having a wireless transceiver function or a chip or chip system that can be set in the device. The access network device 102 includes, but is not limited to: an access point (AP) in a WiFi system, such as a home gateway, a router, a server, a switch, a bridge, etc., an evolved NodeB (eNB), a radio network controller (RNC), a NodeB (NB), a base station controller (BSC), a base transceiver station (BTS), a home base station (e.g., home evolved NodeB, or home NodeB, HNB), a base band unit (BBU), a wireless relay node, a wireless backhaul node, a transmission point (TRP or TP), etc., and can also be a 5G base station, such as a gNB in a new radio (NR) system, or a transmission point (TRP or TP), one or a group of antenna panels (including multiple antenna panels) of a base station in a 5G system, or a network node constituting a gNB or a transmission point, such as a baseband unit (BBU), or a distributed unit (DU), a road side unit (road side DU) with a base station function. The access network equipment 102 also includes base stations in different networking modes, such as master evolved NodeB (MeNB), secondary eNB (SeNB, or secondary gNB, SgNB). The access network equipment 102 also includes different types, such as ground base stations, air base stations, and satellite base stations.

UE103 is a device with wireless communication function, which can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted. It can also be deployed on the water surface (such as ships, etc.). It can also be deployed in the air (such as airplanes, balloons and satellites, etc.). UE103 is also called mobile station (MS), mobile terminal (MT) and terminal equipment, etc., and is a device that provides voice and/or data connectivity to users. For example, UE103 includes handheld devices with wireless connection function, vehicle-mounted devices, etc. Currently, UE103 can be: a mobile phone, a tablet computer, a laptop computer, a PDA, a mobile internet device (MID), a wearable device (such as a smart watch, a smart bracelet, a pedometer, etc.), a vehicle-mounted device (such as a car, a bicycle, an electric car, an airplane, a ship, a train, a high-speed train, etc.), a virtual reality (VR) device, an augmented reality (AR) device, a wireless terminal in industrial control, a smart home device (such as a refrigerator, a TV, an air conditioner, an electric meter, etc.), an intelligent robot, a workshop device, a wireless terminal in self-driving, a wireless terminal in remote medical surgery, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, or a wireless terminal in a smart home, a flying device (such as an intelligent robot, a hot air balloon, a drone, an airplane), etc.

The interference coordination device 101 is used to predict an interfering cell within a first time period.

The first duration is the duration after the current moment, the interfering cell is a cell that causes interference to the target cell or target UE, the target cell is any cell in a preset area, and the target UE is any UE accessing the target cell.

In a possible implementation, the interference coordination device 101 may obtain multiple interfering cells within the second time period through the access network device 102 corresponding to the target cell, thereby predicting the interfering cell within the first time period based on the multiple interfering cells within the second time period.

The second duration is the duration before the current moment.

Exemplarily, at least one access network device 102 in a preset area may use a preset subcarrier to periodically send an interference measurement signal according to a preset power. The subcarriers occupied by the interference measurement signal are evenly distributed over the entire bandwidth of the cell in a comb-like structure, and the distribution density may be set according to actual conditions, for example, one interference measurement signal is configured every 10 subcarriers.

The interference measurement signal may be an existing reference signal, such as a cell-specific reference signal (CRS), a channel state information reference signal (CSI-RS), a demodulation reference signal (DMRS), etc., or may be a reference signal newly introduced in the future.

The access network device 102 corresponding to the target cell may receive the interference measurement signal sent by other access network devices 102 , determine whether interference is caused to the cell configured by itself according to the signal strength of the interference measurement signal, and send the cell identifier causing the interference to the interference coordination device 101 .

The target UE in the target cell can receive the interference measurement signal sent by other access network devices 102, determine whether it causes interference to itself according to the signal strength of the interference measurement signal, and send the cell identifier causing interference to the access network device 102 corresponding to the cell. The access network device 102 sends the cell identifier to the interference coordination device 101.

The interference coordination apparatus 101 may also receive the signal strength of the interference measurement signal measured by the access network device 102 and the signal strength of the interference measurement signal measured by the target UE 103, and further determine the interfering cells within a plurality of second time periods.

The interference coordination apparatus 101 is further configured to determine an interference cell group on which interference coordination needs to be performed and an interference coordination strategy that needs to be performed.

The interference cell group includes the target cell and the interfering cell to be interfered with by the interference coordination. The interference coordination strategy is used to characterize the target interference coordination type and the allocated transmission resources to be performed by each cell within the first time period.

Interference coordination types may include frequency domain interference coordination, time domain interference coordination, and other interference coordination. Other interference coordination refers to interference coordination types other than frequency domain interference coordination and time domain interference coordination. For example, other interference coordination includes power interference coordination, spatial domain interference coordination, and the like.

In a possible implementation, the interference coordination apparatus 101 is used to send a parameter request message to the access network device 102 corresponding to each cell. Correspondingly, the access network device 102 receives the parameter request message sent by the interference coordination apparatus.

The access network device 102 is used to respond to the parameter request message and send corresponding parameter information to the interference coordination apparatus 101 .

The parameter information includes information such as cell identifiers of multiple interfering cells within the second time period, time domain transmission resource utilization, frequency domain transmission resource utilization, and service load.

The interference coordination device 101 is further configured to send interference coordination information to each cell in the interfering cell group respectively.

The interference coordination information is used to indicate the target interference coordination type and the allocated transmission resources to be performed by each cell within the first time period.

After executing the target interference coordination, each cell performs service transmission on its own allocated transmission resources, thereby avoiding interference problems caused by using the same transmission resources between adjacent cells. At the same time, the interference coordination device 101 dynamically determines the interference cell group within the first time period and adaptively determines the interference coordination type to be performed for each cell in the interference cell group, and schedules resources for each cell, thereby avoiding affecting the network performance of the cell during the interference coordination process.

It should be pointed out that the various embodiments of the present application can refer to each other, for example, the same or similar steps, method embodiments, system embodiments and device embodiments can refer to each other without limitation.

FIG2 is a flow chart of an interference coordination method provided in an embodiment of the present application. As shown in FIG2 , the method includes the following steps:

Step 201: The interference coordination apparatus predicts an interfering cell within a first time period.

The interfering cell is a cell that causes interference to the target cell or target UE, the first duration is the duration after the current moment, and the target UE is any UE accessing the target cell. The target cell is any cell in the preset area. The range of the preset area can be set according to actual conditions, and this application does not limit this.

It should be noted that the first duration may include one or more unit time periods. When the first duration includes multiple unit time periods, the interference coordination apparatus may predict the interfering cell in each unit time period within the first duration.

Exemplarily, the unit time period may be a preset value such as 5 minutes, 15 minutes, or 60 minutes, which is not limited in the present application.

For ease of description, the interference coordination method provided by the present application is described below by taking the first duration as a unit time period as an example. The present application is also applicable to a scenario where the first duration includes multiple unit time periods.

In a possible implementation manner, the interfering cell includes at least one of an uplink interfering cell and a downlink interfering cell, the uplink interfering cell is a cell that causes interference to the target cell, and the downlink interfering cell is a cell that causes interference to the target UE.

In the case that the interfering cell includes an uplink interfering cell, the interference coordination apparatus predicts the uplink interfering cell within the first time period.

In the case that the interfering cell includes a downlink interfering cell, the interference coordination apparatus predicts the downlink interfering cell within the first time period.

Step 202: The interference coordination device determines an interference cell group according to the interfering cells within a first time period.

The interfering cell group includes the target cell and the interfering cells for which interference coordination is to be performed among the interfering cells.

When the first duration includes multiple unit time periods, the interference cell group includes the target cell and the interfering cell in each unit time period, as shown in the following Table 1:

Table 1 Interference cell group list

In a possible implementation manner, when the interfering cell includes an uplink interfering cell, the interference coordination apparatus uses the uplink interfering cell as the first interfering cell.

In the case that the interfering cells include a downlink interfering cell, the interference coordination apparatus uses a cell in the downlink interfering cell that meets a first preset condition as a second interfering cell.

The interference coordination device determines that the interference cell group includes at least one of a first interfering cell and a second interfering cell.

The first preset condition includes: the ratio of the number of interfered target UEs to the number of UEs accessing the target cell is greater than or equal to a first preset threshold.

The first preset threshold can be set according to actual conditions, and this application does not limit this.

Exemplarily, the first preset threshold is 60%, and the uplink interfering cells include: cell1, cell2. The UEs accessing the target cell include: UE1, UE2, and UE3. The downlink interfering cells causing interference to the UE are shown in Table 2 below:

Table 2 List of downlink interference cells

Target UE ID Downlink interfering cell identifier UE1 cell3, cell4, cell5 UE2 cell3, cell4 UE3 cell3

The interference coordination apparatus uses cell1 and cell2 as first interfering cells among interfering cells for which interference coordination is to be performed.

Among them, the number of target UEs interfered by the downlink interference cell cell3 accounts for 100% of the number of UEs accessing the target cell, the number of target UEs interfered by the downlink interference cell cell4 accounts for 66.7% of the number of UEs accessing the target cell, and the number of target UEs interfered by the downlink interference cell cell5 accounts for 33.3% of the number of UEs accessing the target cell.

Therefore, the downlink interfering cells cell3 and cell4 meet the first preset condition, and the interference coordination device uses the downlink interfering cells cell3 and cell4 as the second interfering cells.

It should be noted that the downlink interference cells corresponding to different target UEs may be different. The more target UEs interfered by the downlink interference cell, the greater the impact of the downlink interference cell on the downlink transmission performance of the target cell. Conversely, the fewer target UEs interfered by the downlink interference cell, the smaller the impact of the downlink interference cell on the downlink transmission performance of the target cell. When the interference cell performs interference coordination, the transmission resources of the cell may be reduced, thereby affecting the service transmission of the cell.

In the present application, the interference coordination device can use the cell in the downlink interfering cell that has a greater impact on the downlink transmission performance of the target cell as the second interfering cell, so that interference coordination is subsequently performed on the second interfering cell. In this way, the interference coordination method provided by the present application can take into account both the interference problem of the target cell and the normal service transmission of the interfering cell, which can reduce the interference effect of other cells on the target cell and avoid affecting the network performance of the interfering cell.

Step 203: For each first cell, the interference coordination device determines an interference coordination parameter of the first cell within a first time period.

The first cell is any cell in the interference cell group, and the interference coordination parameter includes at least one of the supported interference coordination type, time domain transmission resource utilization, frequency domain transmission resource utilization, and service load. The interference coordination type supported by the cell can be determined by the configuration information of the access network device where the cell is located.

Interference coordination types include: time domain interference coordination, frequency domain interference coordination and other interference coordination. Other interference coordination refers to interference coordination types other than frequency domain interference coordination and time domain interference coordination. For example, other interference coordination includes power interference coordination, spatial domain interference coordination and the like.

Time domain interference coordination refers to performing interference coordination on time domain transmission of a cell, and frequency domain interference coordination refers to performing interference coordination on frequency domain transmission of a cell.

Exemplarily, the interference coordination type supported by the cell can be represented in the form of a bitmap. For example, the bitmap is a 3-bit binary string, the first bit corresponds to time domain interference coordination, the second bit corresponds to frequency domain interference coordination, and the third bit corresponds to power interference coordination. Among them, 1 indicates that the interference coordination type is supported, and 0 indicates that the interference coordination type is not supported. {011} indicates that the cell does not support time domain interference coordination, but supports frequency domain interference coordination and power interference coordination.

The time domain transmission resource utilization rate may be a subframe utilization rate within a unit time period, for example, the subframe utilization rate is a ratio of the number of subframes for data transmission to the total number of subframes.

The frequency domain transmission resource utilization rate may be a resource block (RB) utilization rate in a unit time period, for example, a physical resource block (PRB) utilization rate.

The service load can be determined based on the number of radio resource control (RRC) connected users of the cell, service throughput, etc. The service load is used to characterize the amount of service carried by the cell.

It should be noted that the interference coordination parameters of a cell usually change according to a certain period. For example, the traffic volume of a cell covering a commercial area will increase during the day and decrease at night. Therefore, the interference coordination device can predict the interference coordination parameters in the future time period based on the interference coordination parameters in the historical time period.

In a possible implementation manner, the interference coordination apparatus may predict the interference coordination parameter of the cell within the first time period according to interference coordination parameters of cells in the interfering cell group within multiple second time periods.

The second duration is the duration before the current moment.

In a possible implementation, before step 203, the interference coordination apparatus sends an interference coordination parameter request message to the access network device where the first cell is located; the interference coordination apparatus receives an interference coordination parameter response message sent by the access network device where the first cell is located.

The interference coordination parameter request message is used to request to obtain the interference coordination parameters of the first cell within at least one second time period, and the interference coordination parameter response message includes the interference coordination parameters of the first cell within at least one second time period.

Step 204: The interference coordination apparatus determines a target interference coordination type and allocated transmission resources for the first cell within a first time period according to the interference coordination parameters of each first cell.

In one possible implementation, the interference coordination device determines the target interference coordination type to be performed by the first cell within the first time period based on the interference coordination type supported by each first cell, the time domain transmission resource utilization rate and the frequency domain transmission resource utilization rate within the first time period; the interference coordination device determines the transmission resources allocated to the first cell within the first time period based on the service load of each first cell within the first time period.

Step 205: The interference coordination device sends interference coordination information to the first cell.

The interference coordination information is used to indicate the target interference coordination type and allocated transmission resources of the first cell within the first duration. The transmission resources allocated to the target cell in the interference cell group are different from the transmission resources allocated to the interfering cell for which interference coordination is to be performed.

It should be noted that, since no interference occurs between the interfering cells to be subjected to interference coordination in the interfering cell group, the transmission resources allocated to each interfering cell to be subjected to interference coordination in the interfering cell group are the same transmission resources.

Exemplarily, when the target interference coordination type is time domain interference coordination, the target cell in the interference cell group and the interfering cell to be interfered with by the interference coordination determine the time domain transmission resources available in the first time period according to the indication of the interference coordination information. For example, the resources available to the target cell are subframe 2, subframe 4, subframe 6, subframe 7, subframe 8, subframe 9, and subframe 10 in each data frame, and the resources available to the interfering cell to be interfered with by the interference coordination are subframe 1, subframe 3, and subframe 5 in each data frame.

When the target interference coordination type is frequency domain interference coordination, the target cell in the interference cell group and the interfering cell to be interfered with determine the frequency domain transmission resources respectively available within the first duration according to the instruction of the interference coordination information.

When the target interference coordination type is other interference coordination, such as power interference coordination, the interfering cell to be interfered with in the interfering cell group determines the available signal power within the first duration according to the instruction of the interference coordination information.

Based on the above technical solution, the interference coordination device in the present application predicts the interfering cell that causes interference to the target cell or target UE within the first time period, and determines the interfering cell group that needs to perform interference coordination based on the interfering cell. At the same time, the interference coordination device predicts the interference coordination parameters of each first cell, and determines the target interference coordination type and the transmission resources allocated to the first cell based on the interference coordination parameters, so that the first cell performs service transmission on the allocated transmission resources, thereby avoiding the problem of signal interference between cells. Therefore, the present application can dynamically determine the interfering cell group in the future time period, as well as the interference coordination parameters of each cell in the interfering cell group, and then adaptively determine the interference coordination type to be performed by each cell in the interfering cell group in the future time period and the transmission resources to be allocated to each cell in the future time period, so that the interference coordination device can reasonably schedule resources in the process of performing interference coordination to avoid affecting the network performance of the cell.

The following describes a process in which the interference coordination apparatus predicts the interference coordination parameters of the first cell within the first time period.

As a possible embodiment of the present application, in combination with FIG. 2 , as shown in FIG. 3 , the above step 203 can also be implemented through the following steps 301 - 303 .

In the case where the interference coordination parameters include the time domain transmission resource utilization, the interference coordination apparatus performs the following steps 301 .

Step 301: An interference coordination apparatus predicts a time domain transmission resource utilization rate of a first cell within a first time period.

In one possible implementation, the interference coordination device obtains a parameter prediction model for each first cell; for each first cell, the interference coordination device inputs the first time length into the parameter prediction model corresponding to the first cell to obtain a first interference coordination parameter of the first cell within the first time length.

The parameter prediction model is used to predict a first interference coordination parameter of the first cell within a target time period; the first interference coordination parameter is any one of a time domain transmission resource utilization rate, a frequency domain transmission resource utilization rate, and a service load.

The parameter prediction model may be implemented through the following steps: for each first cell, the interference coordination device trains the parameter prediction model according to at least one second time period and at least one first interference coordination parameter within the second time period.

The plurality of first cells correspond one to one with the plurality of parameter prediction models. The second time length is the time length before the current moment.

It should be noted that the interference coordination device may train a parameter prediction model corresponding to each cell, and the parameter prediction model is used to characterize a change pattern of the first interference coordination parameter of the cell over time.

Exemplarily, the parameter prediction model can be a time series forecasting model (time series forecasting model), such as an autoregressive integrated moving average model (ARIMA), a PROPHET model, a long short-term memory network model (LSTM), etc.

Exemplarily, the interference coordination device may send a time domain parameter acquisition message to the access network device where the cell is located, so as to obtain the time domain transmission resource utilization of the cell within at least one second time period.

In the case where the interference coordination parameter includes frequency domain transmission resource utilization, the interference coordination apparatus performs the following step 302 .

Step 302: The interference coordination apparatus predicts a frequency domain transmission resource utilization rate of a first cell within a first time period.

In a possible implementation, the interference coordination device may predict the frequency domain transmission resource utilization of the first cell within the first time period through a parameter prediction model, and the parameter prediction model is used to characterize the change rule of the frequency domain transmission resource utilization of the cell over time. The content in the parameter step 301 is not repeated here.

Exemplarily, the interference coordination device may send a frequency domain parameter acquisition message to the access network device where the cell is located, so as to obtain the frequency domain transmission resource utilization of the cell within at least one second time period.

In the case where the interference coordination parameter includes the traffic load, the interference coordination apparatus performs the following step 303 .

Step 303: The interference coordination apparatus predicts the service load of each first cell within a first time period.

In a possible implementation, the interference coordination device may predict the service load of each first cell within the first time period by using a parameter prediction model, and the parameter prediction model is used to characterize the change rule of the service load of the cell over time. Specific content of the parameter step 301 is omitted here.

Exemplarily, the interference coordination device may send a service parameter acquisition message to the access network device where the cell is located, so as to obtain the service load of the cell within at least one second time period.

Based on the above technical solution, the interference coordination device can obtain the prediction model corresponding to each cell through the interference coordination parameter training model of each cell in the historical time period, and then predict the interference coordination parameters of the cell in the future time period based on the trained prediction model, so that the subsequent interference coordination device can dynamically determine the interference coordination strategy of the interference cell group according to the predicted interference coordination parameters, so that in the process of interference coordination, resource allocation is more reasonable.

The following describes a process in which the interference coordination device determines an interference coordination strategy.

As a possible embodiment of the present application, in combination with FIG. 2 , as shown in FIG. 4 , the above step 204 can also be implemented through the following steps 401 to 403 .

Step 401: The interference coordination apparatus determines the overall time domain utilization rate of the interference cell group according to the time domain transmission resource utilization rate of each first cell.

The overall time domain utilization can reflect the time domain resource usage of each cell in the interference cell group.

In a possible implementation manner, the overall time domain utilization rate is a weighted average value of the time domain transmission resource utilization rates of each cell in the interfering cell group within the first time period.

Among them, the weight of the time domain transmission resource utilization rate of the cell is used to characterize the influence of the cell in the interference cell group. The weight of the time domain transmission resource utilization rate of each cell can be set according to the actual situation. For example, the interference coordination device sets the weight of the time domain transmission resource utilization rate of the target cell in the interference cell group to the first weight, and sets the weight of the time domain transmission resource utilization rate of each cell of the interfering cell to be interfered with in the interference cell group to be performed as the second weight.

Step 402: The interference coordination apparatus determines the overall frequency domain utilization rate of the interference cell group according to the frequency domain transmission resource utilization rate of each first cell.

The overall frequency domain utilization can reflect the frequency domain resource usage of each cell in the interference cell group.

In a possible implementation, the overall frequency domain utilization is a weighted average of the frequency domain transmission resource utilizations of each cell in the interfering cell group within the first time period.

Among them, the weight of the frequency domain transmission resource utilization rate of the cell is used to characterize the influence of the cell in the interference cell group. The weight of the frequency domain transmission resource utilization rate of each cell can be set according to the actual situation. For example, the interference coordination device sets the weight of the frequency domain transmission resource utilization rate of the target cell in the interference cell group to the third weight, and sets the weight of the frequency domain transmission resource utilization rate of each cell of the interfering cell to be interfered with in the interference cell group to be performed as the fourth weight.

The first weight and the third weight may be the same value, and the second weight and the fourth weight may be the same value.

Step 403: The interference coordination device determines the interference coordination type with the highest priority among the interference coordination types supported by each first cell as the first target interference coordination type to be executed within the first duration.

The priority of the interference coordination type is determined by the overall time domain utilization and the overall frequency domain utilization.

In one possible implementation, when the overall time domain utilization is less than the overall frequency domain utilization, the priority of time domain interference coordination is higher than the priority of frequency domain interference coordination, and the priority of frequency domain interference coordination is higher than the priority of other interference coordination (such as power interference coordination).

When the overall time domain utilization is greater than the overall frequency domain utilization, the priority of frequency domain interference coordination is higher than that of time domain interference coordination, and the priority of time domain interference coordination is higher than that of other interference coordination (such as power interference coordination).

When the overall time domain utilization is equal to the overall frequency domain utilization, the priorities of different interference coordination types may also be: the priority of frequency domain interference coordination is higher than that of time domain interference coordination, and the priority of time domain interference coordination is higher than that of other interference coordination types.

Alternatively, the priorities of different interference coordination types may be: the priority of time domain interference coordination is higher than the priority of frequency domain interference coordination, and the priority of frequency domain interference coordination is higher than the priorities of other interference coordination types.

Exemplarily, the interference coordination types supported by the target cell include: time domain interference coordination, frequency domain interference coordination and other interference coordination, and the interfering cells to be interfered with in the interfering cell group include interfering cell 1 and interfering cell 2. The interference coordination types supported by interfering cell 1 include time domain interference coordination and frequency domain interference coordination, and the interference coordination types supported by interfering cell 2 include: time domain interference coordination, frequency domain interference coordination and other interference coordination. Therefore, the interference coordination types supported by each first cell include time domain interference coordination and frequency domain interference coordination.

The overall time domain utilization of the interference cell group is 40%, and the overall frequency domain utilization is 60%. At this time, the priority of time domain interference coordination is higher than the priority of frequency domain interference coordination. The interference coordination device determines time domain interference coordination as the target interference coordination type to be performed by each cell within the first duration.

Based on the above technical solution, the interference coordination device can determine the priority of the interference coordination type of the interference cell group by the overall time domain utilization and the overall frequency domain utilization of the interference cell group, and select the interference coordination type with the highest priority from the interference coordination types supported by the interference cell group as the target interference coordination type. Since the transmission resources of each cell in the interference cell group will be limited during the interference coordination process, the interference coordination device preferentially selects the transmission type with lower resource utilization as the target interference coordination type for interference coordination, which can avoid the problem of insufficient transmission resources in the cell during the interference coordination process.

As a possible embodiment of the present application, in combination with FIG. 2 , as shown in FIG. 4 , the above step 204 also includes the following steps 404 - 407 .

When the target interference coordination type is time domain interference coordination, the interference coordination apparatus may perform the following step 404 .

Step 404: The interference coordination device determines the number of subframes available in the target cell in each data frame and the number of subframes available in the interfering cell to be interfered with in each data frame according to the service load of the target cell in the first time period and the service load of the interfering cell to be interfered with in the first time period.

In a possible implementation, the interference coordination device determines the service load of the interfering cell to be subjected to interference coordination as the average service load of each cell in the interfering cell to be subjected to interference coordination. The interference coordination device determines the number of subframes available for each cell in the interfering cell group according to the ratio of the service load of the target cell to the service load of the interfering cell to be subjected to interference coordination.

Exemplarily, the number of subframes available in each data frame of the target cell satisfies the following formula 1:

Among them, _Ni is the number of subframes available in the target cell in each data frame, _Ti is the service load of the target cell in the first time length, _{Ts is} the service load of the interfering cell for which interference coordination is to be performed in the first time length, and N is the number of subframes included in the data frame.

The number of subframes available in each data frame of the interfering cell to be interfered with by interference coordination satisfies the following formula 2:

Among them, _Ns is the number of subframes available in each data frame of the interfering cell to perform interference coordination, _Ti is the service load of the target cell in the first time length, Ts _is the service load of the interfering cell to perform interference coordination in the first time length, and N is the number of subframes included in the data frame.

It should be noted that the number of subframes available in each data frame of the target cell and the number of subframes available in each data frame of the interfering cell to be interfered with can be distributed continuously or discretely, which is not limited in the present application.

Exemplarily, each data frame includes 10 subframes, the number of subframes available to the target cell in each data frame is 7, and the number of subframes available to the interfering cell for which interference coordination is to be performed in each data frame is 3. The distribution of subframes in the data frame is shown in Table 3 below:

Table 3 Subframe distribution table in data frame

Subframe 1 Subframe 2 Subframe 3 Subframe 4 Subframe 5 Subframe 6 Subframe 7 Subframe 8 Subframe 9 Subframe 10

If the distribution mode is continuous distribution, the subframes available to the target cell in each data frame may include: subframe 1, subframe 2, subframe 3, subframe 4, subframe 5, subframe 6, and subframe 7. The number of subframes available to the interfering cell for which interference coordination is to be performed in each data frame may include: subframe 8, subframe 9, and subframe 10.

If the distribution mode is discrete distribution, the subframes available to the target cell in each data frame may include: subframe 2, subframe 4, subframe 6, subframe 7, subframe 8, subframe 9, and subframe 10. The number of subframes available to the interfering cell for which interference coordination is to be performed in each data frame may include: subframe 1, subframe 3, and subframe 5.

Based on the above technical solution, when the target interference coordination type is time domain interference coordination, the interference coordination device can allocate subframe resources in each data frame to the target cell and the interfering cell according to the service load of the target cell within the first time period and the service load of the interfering cell to be interfered with, thereby ensuring that the transmission resources of the target cell and the interfering cell during the interference coordination process match their service loads, while suppressing signal interference between cells and meeting the transmission resource requirements of each cell, thereby ensuring the network performance of the cell.

When the target interference coordination type is frequency domain interference coordination, the interference coordination apparatus may perform the following steps 405 to 406.

Step 405: The interference coordination apparatus determines resource blocks that overlap the target cell and the interfering cell for which interference coordination is to be performed in the frequency domain.

The overlapping resource blocks are resource blocks corresponding to the repeated parts of the carrier frequencies of the target cell and the interfering cell to be interfered with. The carrier frequency of the cell can be determined by the configuration information of the access network device where the cell is located.

Exemplarily, the carrier frequency of the target cell is 2130MHz-2155MHz, and the carrier frequency of the interfering cell is 2110MHz-2150MHz. The repeated part of the carrier frequency is 2130MHz-2150MHz. The overlapping resource blocks are the resource blocks corresponding to the carrier frequency of 2130MHz-2150MHz.

It should be noted that for the non-overlapping frequency domain of the target cell and the interfering cell to be interfered with, no signal interference will occur between the target cell and the interfering cell. Therefore, the target cell and the interfering cell can normally transmit services on the non-overlapping carrier frequencies.

Step 406: The interference coordination device determines the available resource blocks of the target cell in the overlapping resource blocks and the available resource blocks of the interfering cell to be interfered with in the overlapping resource blocks according to the service load of the target cell in the first time period and the service load of the interfering cell to be interfered with in the first time period.

In a possible implementation, the interference coordination device determines the service load of the interfering cell to be subjected to interference coordination as the average service load of each cell in the interfering cell to be subjected to interference coordination. The interference coordination device determines the resource blocks available for each cell in the interfering cell group according to the ratio of the service load of the target cell to the service load of the interfering cell to be subjected to interference coordination.

Exemplarily, the resource blocks available to the target cell in the overlapping resource blocks satisfy the following formula 3:

Wherein, _Pi is the available resource block of the target cell in the overlapping resource blocks, _Ti is the service load of the target cell in the first time period, _{Ts is} the service load of the interfering cell for which interference coordination is to be performed in the first time period, and P is the overlapping resource block.

The resource blocks available in the overlapping resource blocks of the interfering cell to be subjected to interference coordination satisfy the following formula 4:

Wherein, _Ps is the available resource block of the interfering cell to be interfered with in the overlapping resource blocks, _Ti is the service load of the target cell in the first time length, Ts _is the service load of the interfering cell to be interfered with in the first time length, and P is the overlapping resource block.

It should be noted that the resource blocks available in the overlapping resource blocks of the target cell and the resource blocks available in the overlapping resource blocks of the interfering cell to be interfered with can be distributed continuously or discretely. For details, please refer to the example in the above step 404, and this application does not limit this.

Based on the above technical solution, when the target interference coordination type is frequency domain interference coordination, the interference coordination device can determine the resource blocks overlapping in the frequency domain between the target cell and the interfering cell to perform interference coordination, and then allocate available resource blocks to the target cell and the interfering cell from the overlapping resource blocks according to the service load of the target cell in the first time period and the service load of the interfering cell to perform interference coordination, thereby ensuring that the transmission resources of the target cell and the interfering cell match their service loads during the interference coordination process, satisfying the transmission resource requirements of each cell while suppressing signal interference between cells, and ensuring the network performance of the cell.

When the target interference coordination type is other interference coordination, the interference coordination apparatus may perform the following step 407 .

Step 407: The interference coordination apparatus determines the transmission resources available to the target cell in other interference coordination and the transmission resources available to the interfering cell for which interference coordination is to be performed in other interference coordination.

Taking power interference coordination as an example, the interference coordination device may determine the power reduction value of the interfering cell to be interfered with according to the edge coverage rate of the interfering cell to be interfered with.

Among them, the edge coverage rate is the average signal strength of the interfering cell to be coordinated with the edge UE within the preset time. The edge UE is a UE that accesses the interfering cell to be coordinated with and meets the second preset condition. The second preset condition includes: the signal strength of the interfering cell to be coordinated with received by the UE is less than the second preset threshold, or the distance between the UE and the access network device where the interfering cell to be coordinated with is located is greater than the third preset threshold.

The second preset threshold and the third preset threshold can be set according to actual conditions, and this application does not limit this.

When the edge coverage rate of the interfering cell for which interference coordination is to be performed is less than a fourth preset threshold, the interference coordination apparatus determines that the power reduction value of the interfering cell is a first power reduction value.

When the edge coverage rate of the interfering cell for which interference coordination is to be performed is greater than or equal to a fourth preset threshold, the interference coordination apparatus determines that the power reduction value of the interfering cell is a second power reduction value.

The first power reduction value is smaller than the second power reduction value. For example, the first power reduction value is 1 dB, and the second power reduction value is 2 dB.

Based on the above technical solution, when the target interference coordination type is other interference coordination, the interference coordination device can allocate corresponding transmission resources of other interference coordination types to each cell in the interference cell group, thereby minimizing the signal interference between cells while meeting the service transmission requirements of each cell.

The following describes a process in which the interference coordination apparatus predicts the interference coordination parameter of each cell in the interfering cell group within the first time period.

As a possible embodiment of the present application, in combination with FIG. 2 , as shown in FIG. 5 , the above step 201 can also be implemented through the following steps 501 to 509 .

In the case where the interfering cell includes an uplink interfering cell, the interference coordination apparatus may perform the following steps 501 to 502.

Step 501: The interference coordination apparatus obtains a first prediction model.

The first prediction model is used to predict the uplink interfering cell within the target time period.

In a possible implementation manner, the interference coordination device obtains the first prediction model through training according to at least one second time period and an identifier of an uplink interfering cell within at least one second time period.

The second time length is the time length before the current moment. The first prediction model is used to characterize the change rule of the uplink interference cell of the target cell over time.

Exemplarily, the first prediction model can be a classification model, such as a logistic regression model, a decision tree model, a random forest (RF) model, a gradient boosting decision tree (GBDT) model, a naive Bayes model (NBM), etc.

In a possible implementation manner, the interference coordination apparatus may obtain an identifier of at least one uplink interfering cell within a second time period from an access network device where the target cell is located.

Exemplarily, the access network device where the target cell is located measures the signal strength of the interference measurement signal sent by other cells.

The access network device where the target cell is located takes the cell whose signal strength of the measured interference measurement signal is greater than the fifth preset threshold as the uplink interfering cell, and sends the identifier of the uplink interfering cell to the interference coordination device.

Alternatively, the access network device where the target cell is located may send the measured signal strength of interference measurement signals sent by other cells to the interference coordination device. The interference coordination device uses the cell whose interference measurement signal strength is greater than the fifth preset threshold as the uplink interfering cell of the target cell.

The interference measurement signal may be an existing reference signal, such as a cell-specific reference signal (CRS), a channel state information reference signal (CSI-RS), a demodulation reference signal (DMRS), etc., or may be a reference signal newly introduced in the future.

It should be noted that the more interfering cells determined by the interference coordination device, the better the signal interference suppression effect between cells will be when performing interference coordination, but the overall complexity of the solution will also increase accordingly. Therefore, in this application, the number of interfering cells is adjusted by the signal strength of the interference measurement signal, which can take into account both the interference coordination performance and the overall complexity of the solution.

Step 502: The interference coordination device inputs the first duration into a first prediction model to obtain uplink interfering cells within the first duration.

Based on the above technical solution, the interference coordination device can train the model through the identification of the uplink interfering cell of the target cell in the historical time period, and then predict the uplink interfering cell of the target cell in the future time period based on the trained prediction model, so as to facilitate the subsequent determination of the interfering cell group to be subjected to interference coordination in the future time period. In this way, the identification of the interfering cell that causes interference to the target cell in the future time period can be known in advance, so that each cell in the interfering cell group can perform the interference coordination process in time before the interference occurs to avoid interference.

As a possible embodiment of the present application, in the case where the interfering cell includes a downlink interfering cell, the interference coordination apparatus may perform the following steps 503 to 506.

Step 503: The interference coordination apparatus obtains a second prediction model.

The second prediction model is used to predict the downlink interfering cell of the target UE within the target time period; the second prediction model is used to characterize the changing pattern of the downlink interfering cell of the target UE over time and the position of the target UE.

In a possible implementation, the interference coordination device trains a second prediction model based on at least one second time period, location information of the target UE within at least one second time period, and an identifier of a downlink interfering cell within at least one second time period.

Exemplarily, the second prediction model can be a classification model, such as a logistic regression model, a decision tree model, a random forest (RF) model, a gradient boosting decision tree (GBDT) model, a naive Bayes model (NBM), etc.

In a possible implementation manner, the interference coordination apparatus may obtain an identifier of at least one downlink interfering cell within a second time period from a target UE accessing the target cell.

Exemplarily, the target UE measures the signal strength of interference measurement signals sent by other cells.

The target UE takes the cell whose signal strength of the measured interference measurement signal is greater than the sixth preset threshold as the downlink interfering cell of the target UE, and sends the identifier of the downlink interfering cell to the access network device where the target cell is located, so that the access network device where the target cell is located forwards the identifier of the downlink interfering cell of the target UE to the interference coordination device.

Alternatively, the target UE may send the signal strength of the interference measurement signal sent by other cells to the access network device where the target cell is located, so that the access network device where the target cell is located forwards the signal strength of the interference measurement signal to the interference coordination device. The interference coordination device uses the cell whose signal strength of the interference measurement signal is greater than the sixth preset threshold as the downlink interference cell of the target UE.

The interference measurement signal may be an existing reference signal or a reference signal introduced in the future.

Step 504: The interference coordination apparatus obtains a third prediction model for each target UE.

The plurality of target UEs correspond to the plurality of third prediction models one by one. The third prediction model is used to predict the location information of the target UE within the target time period. The third prediction model is used to characterize the change pattern of the location of the target UE over time.

In a possible implementation manner, for each target UE, the interference coordination device trains a third prediction model according to at least one second time period and location information within at least one second time period.

Exemplarily, the third prediction model may be a Bayesian model, an artificial neural network (ANN) model, a gradient boosting decision tree (GBDT) model, or the like.

In a possible implementation manner, the interference coordination apparatus may obtain location information within at least one second time period from a target UE accessing a target cell.

The location information of the target UE may be represented by longitude and latitude. The method of determining the location information of the target UE may refer to the prior art, for example, by obtaining it through GPS positioning technology or base station positioning technology, which is not limited in this application.

It should be noted that the present application does not limit the execution order of the above-mentioned steps 503 and 504. Step 503 can be executed before step 504, or after step 504, or in parallel with step 504. The present application does not limit this.

Step 505: The interference coordination device inputs the first duration into each trained third prediction model to obtain location information of multiple target UEs within the first duration.

It should be noted that the trained third prediction model corresponds to the target UE, and the interference coordination device inputs the first time duration into each third prediction model respectively, so as to predict the location information of each target UE within the first time duration.

Step 506: The interference coordination device inputs the first duration and the location information of each target UE within the first duration into the trained second prediction model to obtain the downlink interfering cell within the first duration.

The downlink interfering cell within the first time period includes the downlink interfering cell of each target UE within the first time period.

It should be noted that after predicting the location information of each target UE within the first time period, the interference coordination device can determine the downlink interfering cell of the target UE within the first time period based on the location information of the target UE within the first time period through a second prediction model.

Based on the above technical solution, the interference coordination device can train the second prediction model through the location information of the target UE in the historical time period and the identifier of the downlink interfering cell in the historical time period, and train the third prediction model for each target UE through the location information of the target UE in the historical time period. In this way, the interference coordination device can predict the location information of each target UE in the future time period through the third prediction model, and then determine the downlink interfering cell in the future time period according to the location information of each target UE in the future time period, so as to subsequently determine the interfering cell group to be subjected to interference coordination in the future time period.

As another possible embodiment of the present application, in the case where the interfering cell includes a downlink interfering cell, the interference coordination apparatus may perform the following steps 507 to 509.

Step 507: The interference coordination apparatus determines at least one target UE cluster according to the location information of each target UE within at least one second time period.

The target UE cluster includes multiple target UEs.

In a possible implementation, for each second time duration, the interference coordination device may cluster the location information of the target UE in the second time duration through a clustering algorithm to obtain at least one UE cluster in the second time duration. The interference coordination device matches at least one UE cluster included in each of any two adjacent second time durations through a matching algorithm to determine at least one target UE cluster.

It should be noted that any two adjacent second time periods are two consecutive second time periods after at least one second time period is arranged in chronological order. The interference coordination device can determine the matching relationship of UE clusters in different time periods based on the location information of each UE cluster in one of the second time periods and the location information of each UE cluster in another second time period.

The location information of the UE cluster can be determined by the location information of the target UEs included in the UE cluster, such as the average of the location information of each target UE. The matching relationship is used to indicate whether a UE cluster in one second time period and a UE cluster in another second time period are the same target UE cluster.

For example, the second duration 1 and the second duration 2 are adjacent second durations, wherein the second duration 1 includes UE cluster 1, UE cluster 2, and UE cluster 3. The second duration 2 includes UE cluster A, UE cluster B, UE cluster C, and UE cluster D. The interference coordination device determines through a matching algorithm that UE cluster 1 and UE cluster C are the same target UE cluster A, that UE cluster 2 and UE cluster B are the same target UE cluster B, and that UE cluster 3 and UE cluster A are the same target UE cluster C. For UE cluster D, the interference coordination device determines that there is no UE cluster matching it within the second duration 1.

Exemplarily, the clustering algorithm may be a K-means clustering algorithm, a system clustering algorithm, or a DBSCAN (density-based spatial clustering of applications with noise) algorithm. The matching algorithm may be a Hungarian algorithm, a KM algorithm (Kuhn-Munkres algorithm), or a HK algorithm (Hopcroft-Karp algorithm).

In yet another possible implementation, the interference coordination apparatus determines that each target UE cluster in at least one target UE cluster includes a plurality of target UEs that meet a third preset condition.

The third preset condition includes that the ratio of the number of matching durations to the total number of at least one second duration is greater than a seventh preset threshold. During the matching duration, there is at least one target UE other than the first target UE in the target UE cluster whose distance to the first target UE is less than an eighth preset threshold, and the first target UE is any target UE in the target UE cluster.

It should be noted that, through the above step 507, the interference coordination device can determine at least one target UE cluster and multiple target UEs in each target UE cluster within different second time lengths.

Step 508: The interference coordination apparatus obtains a fourth prediction model for each target UE cluster.

The fourth prediction model is used to predict the downlink interfering cell of the target UE cluster within the target time period.

In a possible implementation, for each target UE cluster, the interference coordination device trains a fourth prediction model according to at least one second time period and identifiers of downlink interfering cells of multiple target UEs within at least one second time period.

The multiple target UE clusters correspond to the multiple fourth prediction models one by one. The fourth prediction model is used to characterize the change rule of the downlink interference cells of the multiple target UEs in the target UE cluster over time.

Exemplarily, the fourth prediction model can be a classification model, such as a logistic regression model, a decision tree model, a random forest (RF) model, a gradient boosting decision tree (GBDT) model, a naive Bayes model (NBM), etc.

Step 509: For each target UE cluster, the interference coordination device inputs the first duration into a fourth prediction model corresponding to the target UE cluster to obtain downlink interfering cells of the multiple target UEs included in the target UE cluster within the first duration.

In a possible implementation, for each fourth prediction model, the interference coordination device uses the obtained downlink interference cell as the downlink interference cell of each target UE in the target UE cluster corresponding to the model. That is, the downlink interference cell of each target UE in the target UE cluster is the same cell.

Based on the above technical solution, the interference coordination device can determine at least one target UE cluster through the location information of the target UE in the historical time period, train the fourth prediction model based on the downlink interference cells of the target UE included in each target UE cluster in the historical time period, and then determine the downlink interference cells of the target UE included in each target UE cluster in the future time period according to the trained fourth prediction model. Compared with the solution of determining the downlink interference cells in the future time period based on the target UE, the interference coordination device can reduce the amount of calculation in the process of determining the downlink interference cells and improve the processing efficiency.

The embodiment of the present application can divide the interference coordination device into functional modules or functional units according to the above method example. For example, each functional module or functional unit can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules or functional units. Among them, the division of modules or units in the embodiment of the present application is schematic, which is only a logical function division. There may be other division methods in actual implementation.

As shown in FIG6 , it is a schematic diagram of the structure of an interference coordination device 60 provided in an embodiment of the present application, and the device includes:

The processing unit 601 is used to predict the interfering cell within a first duration; the interfering cell is a cell that causes interference to the target cell or the target UE; the target UE is any UE accessing the target cell; the first duration is the duration after the current moment.

The processing unit 601 is further configured to determine an interfering cell group according to the interfering cells within the first time period; the interfering cell group includes the target cell and the interfering cells for which interference coordination is to be performed among the interfering cells.

Processing unit 601 is also used to determine, for each first cell, the interference coordination parameters of the first cell within the first time period; the interference coordination parameters include at least one of the supported interference coordination type, time domain transmission resource utilization, frequency domain transmission resource utilization and service load; the first cell is any cell in the interference cell group.

The processing unit 601 is further configured to determine, according to the interference coordination parameter of each first cell, a target interference coordination type and allocated transmission resources to be performed by the first cell within a first duration.

The communication unit 602 is configured to send interference coordination information to the first cell; the interference coordination information is used to indicate transmission resources to be allocated to the first cell.

In one possible implementation, the communication unit 602 is used to: send an interference coordination parameter request message to the access network device where the first cell is located; the interference coordination parameter request message is used to request to obtain the interference coordination parameters of the first cell within at least one second time period; receive an interference coordination parameter response message sent by the access network device where the first cell is located; the interference coordination parameter response message includes the interference coordination parameters of the first cell within at least one second time period.

In one possible implementation, the processing unit 601 is used to: obtain a parameter prediction model for each first cell; the parameter prediction model is used to predict a first interference coordination parameter of the first cell within a target time period; the first interference coordination parameter is any one of time domain transmission resource utilization, frequency domain transmission resource utilization, and service load; for each first cell, the first time length is input into the parameter prediction model corresponding to the first cell to obtain the first interference coordination parameter of the first cell within the first time length.

In a possible implementation, the processing unit 601 is used to: for each first cell, train a parameter prediction model based on at least one second time length and a first interference coordination parameter within at least one second time length; multiple first cells correspond one-to-one to multiple parameter prediction models.

In one possible implementation, the processing unit 601 is used to: determine the target interference coordination type performed by the first cell within the first time period based on the interference coordination type supported by each first cell, the time domain transmission resource utilization, and the frequency domain transmission resource utilization; and determine the transmission resources allocated to the first cell within the first time period based on the service load of each first cell within the first time period.

In one possible implementation, the interference coordination types include: time domain interference coordination, frequency domain interference coordination and power interference coordination; the processing unit 601 is used to: determine the overall time domain utilization of the interference cell group according to the time domain transmission resource utilization of each first cell; determine the overall frequency domain utilization of the interference cell group according to the frequency domain transmission resource utilization of each first cell; determine the interference coordination type with the highest priority among the interference coordination types supported by each first cell as the target interference coordination type to be executed by the first cell within the first time period; the priority of the interference coordination type is determined by the overall time domain utilization and the overall frequency domain utilization.

In one possible implementation, when the overall time domain utilization is less than the overall frequency domain utilization, the priority of time domain interference coordination is higher than the priority of frequency domain interference coordination, and the priority of frequency domain interference coordination is higher than the priority of power interference coordination; when the overall time domain utilization is greater than or equal to the overall frequency domain utilization, the priority of frequency domain interference coordination is higher than the priority of time domain interference coordination, and the priority of time domain interference coordination is higher than the priority of power interference coordination.

In one possible implementation, the processing unit 601 is used to: when the target interference coordination type is time domain interference coordination, determine the number of subframes available in the target cell in each data frame and the number of subframes available in the interfering cell to be interfered with in each data frame according to the service load of the target cell in the first time period and the service load of the interfering cell to be interfered with in the first time period; when the target interference coordination type is frequency domain interference coordination, determine the resource blocks overlapping in the frequency domain between the target cell and the interfering cell to be interfered with; determine the resource blocks available in the target cell in the overlapping resource blocks and the resource blocks available in the interfering cell to be interfered with in the overlapping resource blocks according to the service load of the target cell in the first time period and the service load of the interfering cell to be interfered with in the first time period.

In one possible implementation, the processing unit 601 is used to: when the target interference coordination type is power interference coordination, determine the power reduction value of the interfering cell to be interfered with according to the edge coverage of the interfering cell to be interfered with; the edge coverage is the average value of the signal strength of the interfering cell to be interfered with received by the edge UE within a preset time; the edge UE is a UE that accesses the interfering cell to be interfered with and meets the second preset condition; the second preset condition includes: the signal strength of the interfering cell to be interfered with received by the UE is less than the second preset threshold, or the distance between the UE and the access network device where the interfering cell to be interfered with is located is greater than the third preset threshold.

In a possible implementation, the number of subframes available in each data frame of the target cell satisfies the following formula:

Among them, _Ni is the number of subframes available in the target cell in each data frame, _Ti is the service load of the target cell in the first time length, _{Ts is} the service load of the interfering cell for which interference coordination is to be performed in the first time length, and N is the number of subframes included in the data frame.

The number of subframes available in each data frame of the interfering cell to be interfered with by the interference coordination satisfies the following formula:

Among them, _Ns is the number of subframes available in each data frame of the interfering cell to perform interference coordination, _Ti is the service load of the target cell in the first time length, Ts _is the service load of the interfering cell to perform interference coordination in the first time length, and N is the number of subframes included in the data frame.

The resource blocks available in the target cell in the overlapping resource blocks satisfy the following formula:

Wherein, _Pi is the available resource block of the target cell in the overlapping resource blocks, _Ti is the service load of the target cell in the first time period, _{Ts is} the service load of the interfering cell for which interference coordination is to be performed in the first time period, and P is the overlapping resource block.

The resource blocks available in the overlapping resource blocks of the interfering cell to be subjected to interference coordination satisfy the following formula:

Wherein, _Ps is the available resource block of the interfering cell to be interfered with in the overlapping resource blocks, _Ti is the service load of the target cell in the first time length, Ts _is the service load of the interfering cell to be interfered with in the first time length, and P is the overlapping resource block.

In a possible implementation manner, the interfering cell includes at least one of an uplink interfering cell and a downlink interfering cell, the uplink interfering cell is a cell that causes interference to the target cell, and the downlink interfering cell is a cell that causes interference to the target UE.

In a possible implementation, the processing unit 601 is used to: predict the uplink interfering cell within the first time period when the interfering cell includes the uplink interfering cell; and predict the downlink interfering cell within the first time period when the interfering cell includes the downlink interfering cell.

In a possible implementation, the processing unit 601 is used to: obtain a first prediction model; the first prediction model is used to predict the uplink interfering cell within the target time period; input the first duration into the first prediction model to obtain the uplink interfering cell within the first duration.

In a possible implementation, the processing unit 601 is used to: obtain a first prediction model based on at least one second time period and an identification of an uplink interfering cell within at least one second time period; the second time period is a time period before a current moment.

In one possible implementation, the processing unit 601 is used to: obtain a second prediction model and a third prediction model for each target UE; the second prediction model is used to predict the downlink interference cell of the target UE within the target time period; the third prediction model is used to predict the location information of the target UE within the target time period; the first time length is input into each third prediction model respectively to obtain the location information of multiple target UEs within the first time length; the first time length and the location information of each target UE within the first time length are input into the second prediction model respectively to obtain the downlink interference cell within the first time length.

In one possible implementation, the processing unit 601 is used to: train a second prediction model based on at least one second time period, location information of the target UE within at least one second time period, and an identifier of a downlink interfering cell within at least one second time period; the second time period is a time period before the current moment; for each target UE, train a third prediction model based on at least one second time period and location information within at least one second time period; multiple target UEs correspond one-to-one to multiple third prediction models.

In one possible implementation, the processing unit 601 is used to: determine at least one target UE cluster based on the location information of each target UE within at least one second time period; the target UE cluster includes multiple target UEs; the second time period is the time period before the current moment; obtain a fourth prediction model for each target UE cluster; the fourth prediction model is used to predict the downlink interference cell of the target UE cluster within the target time period; for each target UE cluster, input the first time period into the fourth prediction model corresponding to the target UE cluster to obtain the downlink interference cells of the multiple target UEs included in the target UE cluster within the first time period.

In one possible implementation, the processing unit 601 is used to: for each target UE cluster, train a fourth prediction model based on at least one second time duration and the identifiers of downlink interference cells of multiple target UEs within at least one second time duration; multiple target UE clusters correspond one-to-one to multiple fourth prediction models.

In one possible implementation, the processing unit 601 is used to: for each second time period, cluster the location information of the target UE within the second time period through a clustering algorithm to obtain at least one UE cluster within the second time period; the UE cluster includes at least one target UE; match at least one UE cluster included in each of any two adjacent second time periods through a matching algorithm to determine at least one target UE cluster; any two adjacent second time periods are two consecutive second time periods after at least one second time period is arranged in chronological order.

In one possible implementation, the processing unit 601 is used to: determine that each target UE cluster in at least one target UE cluster includes multiple target UEs that meet a third preset condition; wherein the third preset condition includes that the ratio of the number of matching durations to the total number of at least one second duration is greater than a seventh preset threshold; within the matching duration, there is at least one target UE in the target UE cluster other than the first target UE, and the distance between the target UE and the first target UE is less than an eighth preset threshold; the first target UE is any target UE in the target UE cluster.

In one possible implementation, the communication unit 602 is used to: send a location request message to the access network device where the target cell is located; the location request message is used to request the location information of the target UE within at least one second time period; receive a location response message sent by the access network device where the target cell is located; the location response message includes the location information of the target UE within at least one second time period.

In a possible implementation, the processing unit 601 is used to: when the interfering cell includes an uplink interfering cell, use the uplink interfering cell as the first interfering cell; when the interfering cell includes a downlink interfering cell, use the cell in the downlink interfering cell that meets the first preset condition as the second interfering cell; the first preset condition includes: the ratio of the number of interfered target UEs to the number of UEs accessing the target cell is greater than or equal to a first preset threshold; determine that the interfering cell group includes at least one of the first interfering cell and the second interfering cell.

When implemented by hardware, the communication unit 602 in the embodiment of the present application can be integrated on the communication interface, and the processing unit 601 can be integrated on the processor. The specific implementation is shown in FIG7 .

Figure 7 shows another possible structural diagram of the interference coordination device involved in the above-mentioned embodiments. The interference coordination device 70 includes: a processor 702 and a communication interface 703. The processor 702 is used to control and manage the actions of the interference coordination device, for example, to execute the steps performed by the above-mentioned processing unit 601, and/or to execute other processes of the technology described in this document. The communication interface 703 is used to support the communication between the interference coordination device and other network entities, for example, to execute the steps performed by the above-mentioned communication unit 602. The interference coordination device may also include a memory 701 and a bus 704, and the memory 701 is used to store program code and data of the interference coordination device.

Among them, the memory 701 can be a memory in an interference coordination device, etc., and the memory can include a volatile memory, such as a random access memory; the memory can also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid-state drive; the memory can also include a combination of the above types of memory.

The processor 702 may be a processor that implements or executes various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of the present application. The processor may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. The processor may be a processor that implements or executes various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of the present application. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

The bus 704 may be an Extended Industry Standard Architecture (EISA) bus, etc. The bus 704 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, FIG7 only uses one thick line, but does not mean that there is only one bus or one type of bus.

The interference coordination device in FIG7 may also be a chip, which includes one or more (including two) processors 702 and a communication interface 703 .

In some embodiments, the chip further includes a memory 701, which may include a read-only memory and a random access memory, and provides operation instructions and data to the processor 702. A portion of the memory 701 may also include a non-volatile random access memory (NVRAM).

In some implementations, the memory 701 stores the following elements, execution modules or data structures, or a subset thereof, or an extended set thereof.

In the embodiment of the present application, the corresponding operation is performed by calling the operation instruction stored in the memory 701 (the operation instruction may be stored in the operating system).

The processor 702 may implement or execute various exemplary logic blocks, units and circuits described in conjunction with the disclosure of the present application. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component or any combination thereof. The processor may implement or execute various exemplary logic blocks, units and circuits described in conjunction with the disclosure of the present application. The processor may also be a combination that implements a computing function, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

The memory 701 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid-state drive; the memory may also include a combination of the above types of memory.

The bus 704 may be an Extended Industry Standard Architecture (EISA) bus, etc. The bus 704 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, FIG7 is represented by only one line, but does not mean that there is only one bus or one type of bus.

Through the description of the above implementation methods, technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

An embodiment of the present application provides a computer program product including instructions. When the computer program product is run on a computer, the computer is enabled to execute the interference coordination method in the above method embodiment.

An embodiment of the present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a computer, the computer executes the interference coordination method in the method flow shown in the above method embodiment.

Among them, the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above, or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (ASIC). In the embodiments of the present application, a computer-readable storage medium may be any tangible medium that contains or stores a program, which may be used by or in combination with an instruction execution system, apparatus, or device.

Since the interference coordination device, computer-readable storage medium, and computer program product in the embodiments of the present invention can be applied to the above method, the technical effects that can be obtained can also refer to the above method embodiments, and the embodiments of the present invention will not be repeated here.

In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims (44)

1. A method of interference coordination, the method comprising:

predicting scrambling cells within a first time period; the interference exerting cell is a cell which causes interference to a target cell or a target UE; the target UE is any UE accessed to the target cell; the first time length is the time length after the current time;

determining an interference cell group according to the interference cells in the first duration; the interference cell group comprises interference cells to be subjected to interference coordination in the target cell and the interference cells;

Determining, for each first cell, an interference coordination parameter of the first cell within the first duration; the interference coordination parameters comprise at least one of supported interference coordination types, time domain transmission resource utilization rate, frequency domain transmission resource utilization rate and service load; the first cell is any cell in the interference cell group;

Determining the overall time domain utilization rate of the interference cell group according to the time domain transmission resource utilization rate of each first cell;

determining the overall frequency domain utilization rate of the interference cell group according to the frequency domain transmission resource utilization rate of each first cell;

determining the interference coordination type with the highest priority among the interference coordination types supported by each first cell as a target interference coordination type executed by the first cell in a first duration; the priority of the interference coordination type is determined by the overall time domain utilization and the overall frequency domain utilization;

determining transmission resources allocated by each first cell in a first time period according to the service load of each first cell in the first time period;

transmitting interference coordination information to the first cell; the interference coordination information is used for indicating transmission resources to be allocated by the first cell.

2. The method of claim 1, wherein prior to said determining the interference coordination parameter for the first cell for the first time period, the method further comprises:

Sending an interference coordination parameter request message to access network equipment where the first cell is located; the interference coordination parameter request message is used for requesting to acquire the interference coordination parameters of the first cell in at least one second duration; the second time length is the time length before the current time;

Receiving an interference coordination parameter response message sent by access network equipment where the first cell is located; the interference coordination parameter response message includes interference coordination parameters of the first cell for at least one second duration.

3. The method of claim 1, wherein the determining the interference coordination parameter for the first cell for the first duration comprises:

Acquiring a parameter prediction model of each first cell; the parameter prediction model is used for predicting a first interference coordination parameter of a first cell in a target time period; the first interference coordination parameter is any one of time domain transmission resource utilization rate, frequency domain transmission resource utilization rate and service load;

and inputting the first time length into a parameter prediction model corresponding to the first cell for each first cell to obtain the first interference coordination parameter of the first cell in the first time length.

4. A method according to claim 3, characterized in that the method further comprises:

Training to obtain a parameter prediction model according to at least one second time length and the first interference coordination parameters in the at least one second time length aiming at each first cell; the second time length is the time length before the current time; the plurality of first cells are in one-to-one correspondence with the plurality of parameter prediction models.

5. The method of claim 1, wherein the interference coordination type comprises: time domain interference coordination, frequency domain interference coordination, and power interference coordination.

6. The method of claim 5, wherein the priority of the time domain interference coordination is higher than the priority of the frequency domain interference coordination, and wherein the priority of the frequency domain interference coordination is higher than the priority of the power interference coordination, if the overall time domain utilization is less than the overall frequency domain utilization;

And under the condition that the overall time domain utilization rate is greater than or equal to the overall frequency domain utilization rate, the priority of the frequency domain interference coordination is higher than that of the time domain interference coordination, and the priority of the time domain interference coordination is higher than that of the power interference coordination.

7. The method of claim 1, wherein said determining transmission resources allocated by said first cells during a first time period based on said traffic load of each of said first cells during said first time period comprises:

Under the condition that the target interference coordination type is time domain interference coordination, determining the available subframe number of the target cell in each data frame and the available subframe number of the interference cell to be subjected to interference coordination in each data frame according to the service load of the target cell in a first time period and the service load of the interference cell to be subjected to interference coordination in the first time period;

Determining resource blocks overlapped on a frequency domain between the target cell and the scrambling cell to be subjected to interference coordination under the condition that the target interference coordination type is frequency domain interference coordination;

And determining available resource blocks of the target cell in the overlapped resource blocks and available resource blocks of the interference coordination to be executed in the overlapped resource blocks according to the service load of the target cell in the first duration and the service load of the interference coordination to be executed in the first duration.

8. The method according to claim 1, wherein the method further comprises:

Determining a power reduction value of the interference cell to be subjected to interference coordination according to the edge coverage rate of the interference cell to be subjected to interference coordination under the condition that the target interference coordination type is power interference coordination; the edge coverage rate is the average value of the signal intensity of the interference exerting cell to be subjected to interference coordination, which is received by the edge UE in preset time; the edge UE is the UE which is accessed to the interference exerting cell to be subjected to interference coordination and meets a second preset condition; the second preset condition includes: the signal intensity of the interference coordination to be executed received by the UE is smaller than a second preset threshold value, or the distance between the UE and the access network equipment where the interference coordination to be executed is located is larger than a third preset threshold value.

9. The method of claim 7, wherein the number of subframes available to the target cell within each data frame satisfies the following equation:

Wherein N _i is the number of subframes available in each data frame for the target cell, T _i is the traffic load of the target cell in a first duration, T _s is the traffic load of the interfering cell to be subjected to interference coordination in the first duration, and N is the number of subframes included in the data frame;

the number of subframes available in each data frame by the interfering cell to perform interference coordination satisfies the following formula:

Wherein N _s is the number of subframes available in each data frame for the interfering cell to perform interference coordination, T _i is the traffic load of the target cell in a first duration, T _s is the traffic load of the interfering cell to perform interference coordination in the first duration, and N is the number of subframes included in the data frame;

the resource blocks available in the overlapping resource blocks by the target cell satisfy the following formula:

Wherein P _i is a resource block available in the overlapped resource blocks of the target cell, T _i is a traffic load of the target cell in a first duration, T _s is a traffic load of the scrambling cell to be subjected to interference coordination in the first duration, and P is the overlapped resource blocks;

the resource blocks available in the overlapped resource blocks by the scrambling cell to be subjected to interference coordination satisfy the following formula:

Wherein P _s is a resource block available in the overlapped resource blocks by the interfering cell to be performed interference coordination, T _i is a traffic load of the target cell in a first duration, T _s is a traffic load of the interfering cell to be performed interference coordination in the first duration, and P is the overlapped resource blocks.

10. The method according to any one of claims 1-9, wherein the scrambling cells include at least one of an uplink scrambling cell and a downlink scrambling cell, the uplink scrambling cell being a cell that causes interference to a target cell, and the downlink scrambling cell being a cell that causes interference to the target UE.

11. The method of claim 10, wherein predicting the offending cell for the first duration comprises:

predicting the uplink scrambling cell within the first duration when the scrambling cell includes the uplink scrambling cell;

and predicting the downlink scrambling cell in the first duration under the condition that the scrambling cell comprises the downlink scrambling cell.

12. The method of claim 11, wherein said predicting the uplink scrambling cell for the first duration comprises:

Acquiring a first prediction model; the first prediction model is used for predicting an uplink scrambling cell in a target time period;

and inputting the first time length into the first prediction model to obtain the uplink scrambling cell in the first time length.

13. The method according to claim 12, wherein the method further comprises:

Training according to at least one second time length and the identification of the uplink scrambling cell in the at least one second time length to obtain a first prediction model; the second time period is a time period before the current time.

14. The method of claim 11, wherein said predicting the downlink offending cell for the first duration comprises:

Acquiring a second prediction model and a third prediction model of each target UE; the second prediction model is used for predicting a downlink scrambling cell of the target UE in a target time period; the third prediction model is used for predicting the position information of the target UE in the target time period;

Respectively inputting the first time length into each third prediction model to obtain position information of a plurality of target UE in the first time length;

And respectively inputting the first time length and the position information of each target UE in the first time length into the second prediction model to obtain the downlink scrambling cell in the first time length.

15. The method of claim 14, wherein the method further comprises:

training to obtain a second prediction model according to at least one second time length, the position information of the target UE in the at least one second time length and the identification of the downlink scrambling cell in the at least one second time length; the second time length is the time length before the current time;

Training to obtain a third prediction model according to the at least one second duration and the position information in the at least one second duration for each target UE; the target UEs are in one-to-one correspondence with the third prediction models.

16. The method of claim 11, wherein said predicting the downlink offending cell for the first duration comprises:

Determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster includes a plurality of the target UEs; the second time length is the time length before the current time;

Acquiring a fourth prediction model of each target UE cluster; the fourth prediction model is used for predicting a downlink scrambling cell of the target UE cluster in a target time period;

and inputting the first time length into the fourth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain downlink scrambling cells of a plurality of target UEs included in the target UE cluster in the first time length.

17. The method of claim 16, wherein the method further comprises:

Training to obtain a fourth prediction model according to the at least one second duration and the identifiers of the downlink scrambling cells of the plurality of target UEs in the at least one second duration for each target UE cluster; and the plurality of target UE clusters are in one-to-one correspondence with the plurality of fourth prediction models.

18. The method of claim 16, wherein said determining at least one target cluster of UEs based on location information of each of said target UEs for at least one second time period comprises:

Clustering the position information of the target UE in the second time length by a clustering algorithm for each second time length to obtain at least one UE cluster in the second time length; the UE cluster includes at least one of the target UEs;

matching at least one UE cluster respectively included in any two adjacent second time periods through a matching algorithm, and determining the at least one target UE cluster; and the arbitrary two adjacent second time durations are two continuous second time durations after the at least one second time duration is arranged according to the time sequence.

19. The method of claim 16, wherein said determining at least one target cluster of UEs based on location information of each of said target UEs for at least one second time period comprises:

Determining that each target UE cluster in the at least one target UE cluster includes a plurality of target UEs meeting a third preset condition; wherein the third preset condition includes that the ratio of the number of matching durations to the total number of the at least one second duration is greater than a seventh preset threshold; within the matching duration, at least one target UE except for the first target UE exists in the target UE cluster, and the distance between the target UE and the first target UE is smaller than an eighth preset threshold; the first target UE is any one target UE in the target UE cluster.

20. The method according to any one of claims 14-19, further comprising:

Sending a position request message to access network equipment where the target cell is located; the location request message is used for requesting to acquire the location information of the target UE in at least one second duration;

Receiving a position response message sent by access network equipment where the target cell is located; the location response message includes location information of the target UE for at least a second duration.

21. The method of claim 10, wherein the determining the set of interfering cells from the interfering cells within the first time period comprises:

taking the uplink scrambling cell as a first scrambling cell when the scrambling cell comprises the uplink scrambling cell;

under the condition that the scrambling cell comprises the downlink scrambling cell, taking a cell meeting a first preset condition in the downlink scrambling cell as a second scrambling cell; the first preset condition includes: the ratio of the number of the interfered target UE to the number of the UE accessing the target cell is larger than or equal to a first preset threshold value;

determining that the set of interfering cells includes at least one of the first and second interfering cells.

22. An interference coordination device, comprising a communication unit and a processing unit:

The processing unit is used for predicting scrambling cells in a first duration; the interference exerting cell is a cell which causes interference to a target cell or a target UE; the target UE is any UE accessed to the target cell; the first time length is the time length after the current time;

the processing unit is further configured to determine an interference cell group according to the interference cells in the first duration; the interference cell group comprises interference cells to be subjected to interference coordination in the target cell and the interference cells;

The processing unit is further configured to determine, for each first cell, an interference coordination parameter of the first cell within the first duration; the interference coordination parameters comprise at least one of supported interference coordination types, time domain transmission resource utilization rate, frequency domain transmission resource utilization rate and service load; the first cell is any cell in the interference cell group;

The processing unit is further configured to: determining the overall time domain utilization rate of the interference cell group according to the time domain transmission resource utilization rate of each first cell; determining the overall frequency domain utilization rate of the interference cell group according to the frequency domain transmission resource utilization rate of each first cell; determining the interference coordination type with the highest priority among the interference coordination types supported by each first cell as a target interference coordination type executed by the first cell in a first duration; the priority of the interference coordination type is determined by the overall time domain utilization and the overall frequency domain utilization; determining transmission resources allocated by each first cell in a first time period according to the service load of each first cell in the first time period;

The communication unit is used for sending interference coordination information to the first cell; the interference coordination information is used for indicating transmission resources to be allocated by the first cell.

23. The apparatus of claim 22, wherein the communication unit is configured to:

Sending an interference coordination parameter request message to access network equipment where the first cell is located; the interference coordination parameter request message is used for requesting to acquire the interference coordination parameters of the first cell in at least one second duration; the second time length is the time length before the current time;

Receiving an interference coordination parameter response message sent by access network equipment where the first cell is located; the interference coordination parameter response message includes interference coordination parameters of the first cell for at least one second duration.

24. The apparatus of claim 22, wherein the processing unit is configured to:

Acquiring a parameter prediction model of each first cell; the parameter prediction model is used for predicting a first interference coordination parameter of a first cell in a target time period; the first interference coordination parameter is any one of time domain transmission resource utilization rate, frequency domain transmission resource utilization rate and service load;

and inputting the first time length into a parameter prediction model corresponding to the first cell for each first cell to obtain the first interference coordination parameter of the first cell in the first time length.

25. The apparatus of claim 24, wherein the processing unit is configured to:

Training to obtain a parameter prediction model according to at least one second time length and the first interference coordination parameters in the at least one second time length aiming at each first cell; the second time length is the time length before the current time; the plurality of first cells are in one-to-one correspondence with the plurality of parameter prediction models.

26. The apparatus of claim 22, wherein the interference coordination type comprises: time domain interference coordination, frequency domain interference coordination, and power interference coordination.

27. The apparatus of claim 26, wherein the priority of the time domain interference coordination is higher than the priority of the frequency domain interference coordination, and wherein the priority of the frequency domain interference coordination is higher than the priority of the power interference coordination, if the overall time domain utilization is less than the overall frequency domain utilization;

And under the condition that the overall time domain utilization rate is greater than or equal to the overall frequency domain utilization rate, the priority of the frequency domain interference coordination is higher than that of the time domain interference coordination, and the priority of the time domain interference coordination is higher than that of the power interference coordination.

28. The apparatus of claim 22, wherein the processing unit is configured to:

Under the condition that the target interference coordination type is time domain interference coordination, determining the available subframe number of the target cell in each data frame and the available subframe number of the interference cell to be subjected to interference coordination in each data frame according to the service load of the target cell in a first time period and the service load of the interference cell to be subjected to interference coordination in the first time period;

Determining resource blocks overlapped on a frequency domain between the target cell and the scrambling cell to be subjected to interference coordination under the condition that the target interference coordination type is frequency domain interference coordination;

And determining available resource blocks of the target cell in the overlapped resource blocks and available resource blocks of the interference coordination to be executed in the overlapped resource blocks according to the service load of the target cell in the first duration and the service load of the interference coordination to be executed in the first duration.

29. The apparatus of claim 22, wherein the processing unit is configured to:

Determining a power reduction value of the interference cell to be subjected to interference coordination according to the edge coverage rate of the interference cell to be subjected to interference coordination under the condition that the target interference coordination type is power interference coordination; the edge coverage rate is the average value of the signal intensity of the interference exerting cell to be subjected to interference coordination, which is received by the edge UE in preset time; the edge UE is the UE which is accessed to the interference exerting cell to be subjected to interference coordination and meets a second preset condition; the second preset condition includes: the signal intensity of the interference coordination to be executed received by the UE is smaller than a second preset threshold value, or the distance between the UE and the access network equipment where the interference coordination to be executed is located is larger than a third preset threshold value.

30. The apparatus of claim 28, wherein the number of subframes available to the target cell within each data frame satisfies the following equation:

Wherein N _i is the number of subframes available in each data frame for the target cell, T _i is the traffic load of the target cell in a first duration, T _s is the traffic load of the interfering cell to be subjected to interference coordination in the first duration, and N is the number of subframes included in the data frame;

the number of subframes available in each data frame by the interfering cell to perform interference coordination satisfies the following formula:

Wherein N _s is the number of subframes available in each data frame for the interfering cell to perform interference coordination, T _i is the traffic load of the target cell in a first duration, T _s is the traffic load of the interfering cell to perform interference coordination in the first duration, and N is the number of subframes included in the data frame;

the resource blocks available in the overlapping resource blocks by the target cell satisfy the following formula:

Wherein P _i is a resource block available in the overlapped resource blocks of the target cell, T _i is a traffic load of the target cell in a first duration, T _s is a traffic load of the scrambling cell to be subjected to interference coordination in the first duration, and P is the overlapped resource blocks;

the resource blocks available in the overlapped resource blocks by the scrambling cell to be subjected to interference coordination satisfy the following formula:

Wherein P _s is a resource block available in the overlapped resource blocks by the interfering cell to be performed interference coordination, T _i is a traffic load of the target cell in a first duration, T _s is a traffic load of the interfering cell to be performed interference coordination in the first duration, and P is the overlapped resource blocks.

31. The apparatus according to any one of claims 22-30, wherein the scrambling cells include at least one of an uplink scrambling cell and a downlink scrambling cell, the uplink scrambling cell being a cell that causes interference to a target cell, and the downlink scrambling cell being a cell that causes interference to the target UE.

32. The apparatus of claim 31, wherein the processing unit is configured to:

predicting the uplink scrambling cell within the first duration when the scrambling cell includes the uplink scrambling cell;

and predicting the downlink scrambling cell in the first duration under the condition that the scrambling cell comprises the downlink scrambling cell.

33. The apparatus of claim 32, wherein the processing unit is configured to:

Acquiring a first prediction model; the first prediction model is used for predicting an uplink scrambling cell in a target time period;

and inputting the first time length into the first prediction model to obtain the uplink scrambling cell in the first time length.

34. The apparatus of claim 33, wherein the processing unit is configured to:

Training according to at least one second time length and the identification of the uplink scrambling cell in the at least one second time length to obtain a first prediction model; the second time period is a time period before the current time.

35. The apparatus of claim 32, wherein the processing unit is configured to:

Acquiring a second prediction model and a third prediction model of each target UE; the second prediction model is used for predicting a downlink scrambling cell of the target UE in a target time period; the third prediction model is used for predicting the position information of the target UE in the target time period;

Respectively inputting the first time length into each third prediction model to obtain position information of a plurality of target UE in the first time length;

And respectively inputting the first time length and the position information of each target UE in the first time length into the second prediction model to obtain the downlink scrambling cell in the first time length.

36. The apparatus of claim 35, wherein the processing unit is configured to:

training to obtain a second prediction model according to at least one second time length, the position information of the target UE in the at least one second time length and the identification of the downlink scrambling cell in the at least one second time length; the second time length is the time length before the current time;

Training to obtain a third prediction model according to the at least one second duration and the position information in the at least one second duration for each target UE; the target UEs are in one-to-one correspondence with the third prediction models.

37. The apparatus of claim 32, wherein the processing unit is configured to:

Determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster includes a plurality of the target UEs; the second time length is the time length before the current time;

Acquiring a fourth prediction model of each target UE cluster; the fourth prediction model is used for predicting a downlink scrambling cell of the target UE cluster in a target time period;

and inputting the first time length into the fourth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain downlink scrambling cells of a plurality of target UEs included in the target UE cluster in the first time length.

38. The apparatus of claim 37, wherein the processing unit is configured to:

Training to obtain a fourth prediction model according to the at least one second duration and the identifiers of the downlink scrambling cells of the plurality of target UEs in the at least one second duration for each target UE cluster; and the plurality of target UE clusters are in one-to-one correspondence with the plurality of fourth prediction models.

39. The apparatus of claim 37, wherein the processing unit is configured to:

Clustering the position information of the target UE in the second time length by a clustering algorithm for each second time length to obtain at least one UE cluster in the second time length; the UE cluster includes at least one of the target UEs;

matching at least one UE cluster respectively included in any two adjacent second time periods through a matching algorithm, and determining the at least one target UE cluster; and the arbitrary two adjacent second time durations are two continuous second time durations after the at least one second time duration is arranged according to the time sequence.

40. The apparatus of claim 37, wherein the processing unit is configured to:

Determining that each target UE cluster in the at least one target UE cluster includes a plurality of target UEs meeting a third preset condition; wherein the third preset condition includes that the ratio of the number of matching durations to the total number of the at least one second duration is greater than a seventh preset threshold; within the matching duration, at least one target UE except for the first target UE exists in the target UE cluster, and the distance between the target UE and the first target UE is smaller than an eighth preset threshold; the first target UE is any one target UE in the target UE cluster.

41. The apparatus of any one of claims 35-40, wherein the communication unit is configured to:

Sending a position request message to access network equipment where the target cell is located; the location request message is used for requesting to acquire the location information of the target UE in at least one second duration;

Receiving a position response message sent by access network equipment where the target cell is located; the location response message includes location information of the target UE for at least a second duration.

42. The apparatus of claim 31, wherein the processing unit is configured to:

taking the uplink scrambling cell as a first scrambling cell when the scrambling cell comprises the uplink scrambling cell;

under the condition that the scrambling cell comprises the downlink scrambling cell, taking a cell meeting a first preset condition in the downlink scrambling cell as a second scrambling cell; the first preset condition includes: the ratio of the number of the interfered target UE to the number of the UE accessing the target cell is larger than or equal to a first preset threshold value;

determining that the set of interfering cells includes at least one of the first and second interfering cells.

43. An interference coordination device, comprising: a processor and a communication interface; the communication interface being coupled to the processor for executing a computer program or instructions to implement the interference coordination method as claimed in any of claims 1-21.

44. A computer readable storage medium having instructions stored therein which, when executed by a computer, perform the interference coordination method of any of the preceding claims 1-21.