CN115226170B - Network switching threshold determination method and device - Google Patents

Abstract

The present invention relates to the field of communications, and in particular, to a method and apparatus for determining a network switching threshold. Wherein the method comprises the following steps: acquiring first network switching information of a target cell in a first time length range; determining a first network quality score of the target cell according to the first network handover information; if the first network quality score is smaller than a first threshold value, updating a network switching threshold of the target cell by adopting a preset calculation model; determining whether the network quality of the target cell after the network switching threshold is updated reaches a preset condition; and if the network quality of the target cell does not reach the preset condition, updating the network switching threshold of the target cell by adopting the preset calculation model again. In the invention, the network quality of the target cell can be more intuitively judged by scoring the network quality of the target cell, and when the network quality score is lower than the first threshold value, the corresponding network switching threshold is updated.

Description

Network switching threshold determination method and device

【Technical field】

The present invention relates to the field of communications, and in particular to a method and device for determining a network switching threshold.

【Background technique】

When making voice and video calls, Enhanced Single Radio Voice Call Continuity (eSRVCC) technology is often used to ensure call quality. Specifically, eSRVCC technology is a voice handover technical solution that uses 2G wireless resources to ensure the continuity of voice calls when the Long Term Evolution (LTE) network coverage is limited, while controlling the handover delay within the user's perception range. The eSRVCC function is an important supplement when the LTE network coverage is insufficient, and is an important function to ensure the continuity of user voice services. For example, if the current network quality of the 4G network is poor and the network quality of the 2G network is better, the call network can be switched from the 4G network to the 2G network.

In related technologies, eSRVCC mainly performs switching control through threshold A2 and threshold B2. Among them, A2 is the test start threshold, that is, when the level value of the main serving cell is lower than A2, the inter-frequency measurement is triggered. The B2 threshold includes threshold 1 and threshold 2, and the handover steps include: if the level value of the main serving cell is lower than threshold 1, and the level value of the adjacent cell in the different system is higher than threshold 2, perform eSRVCC handover. It can be seen that the selection of B2 threshold 1 is particularly important and will affect the user's call experience. However, in related technologies, B2 threshold 1 needs to be modified and tested manually, which cannot make the configured threshold parameters reach the optimal solution. For example, if the B2 threshold 1 is set too small, the eSRVCC switching is too late, resulting in problems such as voice quality degradation and call drops. If the B2 threshold 1 is set too high, the calling user will switch to other networks prematurely, affecting the user's perception of high-definition voice calls.

[Content of the invention]

In order to solve the above problems, embodiments of the present invention provide a method and device for determining a network switching threshold. When it is detected that the network quality of the target cell is poor, the network switching threshold of the target cell is automatically updated to improve the network quality of the target cell. quality.

In a first aspect, an embodiment of the present invention provides a method for determining a network switching threshold, which includes:

Obtain the first network switching information of the target cell within the first duration;

Determine the first network quality score of the target cell according to the first network switching information;

If the first network quality score is less than the first threshold, use a preset calculation model to update the network handover threshold of the target cell;

Determine whether the network quality of the target cell after the network handover threshold is updated reaches the predetermined condition;

If the network quality of the target cell does not meet the predetermined condition, the preset calculation model is reused to update the network handover threshold of the target cell.

In the embodiment of the present invention, the network quality of the target cell is scored according to the first network handover information of the target cell within the first time period. When the network quality score of the target cell is lower than the first threshold, a preset calculation model is used Update the network handover threshold of the target cell. If the network quality of the target cell does not meet the predetermined conditions after the network handover threshold of the target cell is updated, update the network handover threshold of the target cell again to keep the network quality of the target cell at a good level. state.

In one possible implementation, the first network switching information includes: the number of calls, the number of network switching requests, and the number of successful network switchings. According to the first network switching information, the first network quality of the target cell is determined. Points, including:

Determine the network switching success rate of the target cell according to the number of requested network switching times and the number of successful network switching times;

Determine the network switching proportion of the target cell according to the requested number of network switching times and the number of calls;

The first network quality score of the target cell is determined according to the network handover success rate, the network handover ratio and the number of requested network handovers.

In one possible implementation manner, determining the first network quality score of the target cell according to the network switching success rate, the network switching proportion and the number of requested network switchings includes:

Determine a first score based on the network switching success rate and the number of requested network switching times;

Determine a second score according to the network switching proportion and the requested number of network switching times;

Determine the first weight of the first score and the second weight of the second score respectively;

Perform weighted calculations on the first score and the second score according to the first weight and the second weight;

According to the result of the weighted calculation, the first network quality score of the target cell is determined.

In one possible implementation manner, the preset calculation model is a proportional-integral-derivative calculation model, and the preset calculation model is used to update the network handover threshold of the target cell, including:

Determine the difference between the first network quality score of the target cell and the first threshold;

Enter the difference value into the proportional integral differential calculation model;

The proportional integral differential calculation model performs proportional adjustment operation, integral adjustment operation and differential adjustment operation on the difference value respectively;

Determine the correction parameters of the network switching threshold according to the operation results;

The network switching threshold of the target cell is updated according to the correction parameter.

In one possible implementation manner, the method further includes:

If the network quality of the target cell reaches the predetermined condition, or when the number of updates reaches the second threshold, it is determined that the update is completed;

The network switching threshold output by the preset calculation model at the end of the update is determined as the target network switching threshold of the target cell.

In one possible implementation, determining whether the network quality of the target cell after the network handover threshold is updated reaches a predetermined condition includes:

Obtain the second network switching information within the second time range of the target cell after the network switching threshold is updated;

Determine the second network quality score of the target cell within the second duration range according to the second network switching information;

If the difference between the second network quality score of the target cell and the first threshold is less than or equal to the third threshold, it is determined that the network quality of the target cell reaches the predetermined condition;

If the difference between the second network quality score of the target cell and the first threshold is greater than the third threshold, it is determined that the network quality of the target cell does not meet the predetermined condition.

In a second aspect, the present invention provides a network switching threshold determination device, including:

An acquisition module, used to acquire the first network switching information of the target cell within the first duration;

A processing module configured to determine the first network quality score of the target cell according to the first network switching information;

An update module, configured to update the network handover threshold of the target cell using a preset calculation model if the first network quality score is less than the first threshold;

The processing module is also used to determine whether the network quality of the target cell after the network switching threshold is updated reaches the predetermined condition;

The update module is also configured to re-use the preset calculation model to update the network handover threshold of the target cell if the network quality of the target cell does not meet the predetermined condition.

In one possible implementation, the first network switching information includes: the number of calls, the number of network switching requests, and the number of successful network switchings. The processing module is specifically used to:

Determine the network switching success rate of the target cell according to the number of requested network switching times and the number of successful network switching times;

Determine the network switching proportion of the target cell according to the requested number of network switching times and the number of calls;

The first network quality score of the target cell is determined according to the network handover success rate, the network handover ratio and the number of requested network handovers.

In one possible implementation, the device includes:

at least one processor; and

at least one memory communicatively connected to the processor, wherein:

The memory stores program instructions that can be executed by the processor, and the processor can execute the method described in the first aspect by calling the program instructions.

In a third aspect, embodiments of the present invention provide a computer-readable storage medium that stores computer instructions, and the computer instructions cause the computer to execute the method described in the first aspect.

It should be understood that the second to third aspects of the embodiments of the present invention are consistent with the technical solution of the first aspect of the embodiments of the present invention, and the beneficial effects achieved by each aspect and corresponding feasible implementations are similar, and will not be described again.

[Picture description]

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some examples of the embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without exerting creative efforts.

Figure 1 is a flow chart of a method for determining a network switching threshold provided by an embodiment of the present invention;

Figure 2 is a flow chart of another method for determining a network switching threshold provided by an embodiment of the present invention;

Figure 3 is a flow chart of another method for determining a network switching threshold provided by an embodiment of the present invention;

Figure 4 is a schematic structural diagram of a network switching threshold determination device provided by an embodiment of the present invention;

Figure 5 is a schematic structural diagram of another network switching threshold determination device provided by an embodiment of the present invention.

【Detailed ways】

In order to better understand the technical solutions of this specification, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

It should be clear that the described embodiments are only some of the embodiments of this specification, but not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

The terminology used in the embodiments of the present invention is for the purpose of describing specific embodiments only and is not intended to limit the description. As used in this embodiment and the appended claims, the singular forms "a," "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise.

In the embodiment of the present invention, the current network quality of the target cell is determined by obtaining the first network switching information of the target cell within the first time period, and the network quality of the target cell is scored. When the first network quality score of the target cell is lower than the first threshold, the network handover threshold of the target cell is updated to improve the network quality of the target cell.

Figure 1 is a flow chart of a method for determining a network switching threshold provided by an embodiment of the present invention. The method of the embodiment of the present invention can be executed by a network switching threshold determination device. The optional network switching threshold determining device may be implemented in the form of a network device, such as a base station or core network device. As shown in Figure 1, the method includes:

Step 101: Obtain the first network switching information of the target cell within the first time range. The first network switching information may be information related to network switching, such as the total number of calls in the target cell within the first period of time, the number of network switching requests, the number of successful network switching requests, etc. When the network quality of the target cell is poor, the terminal device that is talking will send a network switching request. After the network switching threshold determination device receives the request for network switching, it determines whether there are other networks that can be switched. When there is a network with good network quality, When using other networks, the current network can be successfully switched. If there is no other network with better network quality, the switch fails. Optionally, the network switching may be eSRVCC switching. For example, the network currently used for calls is a 4G network. When a terminal device covered by this network makes a call, the terminal device detects that the network quality is poor, and then sends a request for network switching to the network device corresponding to the 4G network. The network device receives the request. Finally, determine the network quality of the 3G network and 2G network in the community where the terminal device is located. When the network quality of the 3G network and 2G network in the community where the terminal device is located is good, the current call network of the terminal device can be switched from the 4G network to the 3G network or the 2G network.

Step 102: Determine the first network quality score of the target cell according to the first network handover information. After obtaining the first network switching information of the target cell, the network quality of the target cell in the first time range can be scored according to the first network switching information, that is, the first network quality score of the target cell is determined, so as to make it more precise Intuitively judge the network quality of the target community.

In some embodiments, the network switching success rate and network switching proportion of the target cell within the first time range can be determined based on the first network switching information, and then the first network quality score of the target cell can be determined. The method includes: determining the network switching success rate of the target cell according to the number of requested network switching times and the number of successful network switching times. The network switching proportion of the target cell is determined according to the requested number of network switching times and the number of calls. The first network quality score of the target cell is determined according to the network handover success rate, the network handover ratio and the number of requested network handovers.

Step 103: If the first network quality score is less than the first threshold, use a preset calculation model to update the network handover threshold of the target cell. In some embodiments, the network switching threshold may be B2 threshold 1. The preset calculation model may be a Proportion Integral Differential (PID) calculation model, that is, a PID algorithm is used to adjust and update the network switching threshold. Then, the step of updating the network handover threshold is: determining the difference between the first network quality score of the target cell and the first threshold. The difference is input into the proportional integral differential calculation model. The proportional integral differential calculation model performs proportional adjustment operation, integral adjustment operation and differential adjustment operation on the difference value respectively. The correction parameter of the network switching threshold is determined according to the operation result. The network switching threshold of the target cell is updated according to the correction parameter.

Step 104: Determine whether the network quality of the target cell after the network handover threshold is updated meets the predetermined conditions. Determining whether the network quality of the target cell reaches a predetermined condition may be to determine whether the network quality score of the target cell is higher than a preset threshold within the second time period after the network switching threshold of the target cell is updated. When the network quality of the target cell When the quality is higher than the preset threshold, it can be determined that the target cell meets the established conditions.

Step 105: If the network quality of the target cell does not meet the predetermined conditions, re-use the preset calculation model to update the network handover threshold of the target cell. If the network quality of the target cell has not reached the predetermined conditions, the network switching threshold of the target cell may be constantly updated. Therefore, when the network quality of the target cell reaches the predetermined conditions or the number of updates reaches the second threshold, the network switching threshold may be stopped. Threshold update. Optionally, the second threshold may be 60, that is, when the number of updates reaches 60, the update will end even if the network quality of the target cell does not meet the predetermined conditions.

In a specific example, when a preset calculation model is used to update the network switching threshold of the target cell, the preset model can be an incremental discrete PID algorithm model in the PID algorithm. Specifically, the preset calculation model can be used to update the network switching threshold of the target cell. The formula of PID algorithm: Update the network switching threshold. Among them, u(k) is the network switching threshold output at the k-th update, and e(k) is the difference between the network quality score of the target cell and the first threshold at the k-th update. e(k-1) is the difference between the network quality score of the target cell and the first threshold at the k-1th time, K _p is the preset proportional coefficient, K _i is the preset integral coefficient, and K _d is the preset differential coefficient. Among them, K _p , K _i and K _d can be obtained through multiple experiments to obtain basic values that are generally suitable for multiple target cells. When updating the network handover threshold of the target cell, K can be adjusted according to the needs and characteristics of different target cells. The values of _p , K _i and K _d are adjusted adaptively. Through the above formula, the network switching threshold can be adjusted according to the difference between the network quality score of the target cell and the first threshold, and the adjusted network switching threshold can be output.

In some embodiments, if during the process of updating the network handover threshold, the difference between the network quality score of the target cell and the first threshold is in a state of oscillation for a long time and cannot be stabilized, then K _p , K _i and The value of K _d is halved.

In some embodiments, the network switching threshold output by the preset calculation model at the end of the update can be determined as the target network switching threshold of the target cell, that is, the network switching threshold that is most suitable for the target cell.

In some embodiments, when determining the first network quality score of the target cell, the weight corresponding to the network handover success rate and the network handover proportion may be determined respectively, and a weighted operation may be performed on the network handover success rate and the network handover proportion, Thus, the first network quality score of the target cell is determined. As shown in Figure 2, the processing steps of this method include:

Step 201: Determine a first score based on the network switching success rate and the number of network switching requests.

Step 202: Determine a second score based on the network switching proportion and the number of network switching requests.

Step 203: Determine the first weight of the first score and the second weight of the second score respectively. Among them, different weights can be used for the first score and the second score according to different network requirements. For example, the weight of the first score is 0.8 and the weight of the second score is 0.2.

Step 204: Perform weighted calculation on the first score and the second score according to the first weight and the second weight. For example, if the first score is 9.0, the second score is 10, the weight of the first score is 0.8, and the weight of the second score is 0.2, then the weighting operation is: 9.0×0.8+10×0.2=9.2.

Step 205: Determine the first network quality score of the target cell based on the weighted calculation result.

In a specific example, the above-mentioned first score can be determined through Table 1-1, the above-mentioned second score can be determined through Table 1-2, and then the third score of the target cell can be determined based on the weight of the first score and the second score. A network quality score.

Table 1-1

Table 1-2

In some embodiments, an implementation step of the above step 104 is shown in Figure 3:

Step 301: Obtain the second network switching information within the second time range of the target cell after the network switching threshold is updated.

Step 302: Determine the second network quality score of the target cell within the second time range according to the second network switching information.

Step 303: If the difference between the second network quality score of the target cell and the first threshold is less than or equal to the third threshold, it is determined that the network quality of the target cell reaches the predetermined condition.

Step 304: If the difference between the second network quality score of the target cell and the first threshold is greater than the third threshold, it is determined that the network quality of the target cell does not meet the predetermined condition.

Corresponding to the above network switching threshold determination method, an embodiment of the present invention provides a network switching threshold determination device. As shown in Figure 4, the device includes: an acquisition module 401, a processing module 402 and an update module 403.

The acquisition module 401 is used to acquire the first network switching information of the target cell within the first time range.

The processing module 402 is configured to determine the first network quality score of the target cell according to the first network switching information.

The update module 403 is configured to update the network handover threshold of the target cell using a preset calculation model if the first network quality score is less than the first threshold.

The processing module 402 is also used to determine whether the network quality of the target cell after the network switching threshold is updated reaches a predetermined condition.

The update module 403 is also configured to re-use the preset calculation model to update the network handover threshold of the target cell if the network quality of the target cell does not meet the predetermined conditions.

In some embodiments, the first network switching information includes: the number of calls, the number of network switching requests, and the number of successful network switchings. The processing module 402 is specifically used to:

The network switching success rate of the target cell is determined according to the number of requested network switching times and the number of successful network switching times.

The network switching proportion of the target cell is determined according to the requested number of network switching times and the number of calls.

The first network quality score of the target cell is determined according to the network handover success rate, the network handover ratio and the number of requested network handovers.

In some embodiments, the processing module 402 is specifically used to:

The first score is determined according to the network switching success rate and the number of requested network switching times.

The second score is determined according to the network switching proportion and the number of requested network switching times.

A first weight of the first score and a second weight of the second score are determined respectively.

The first score and the second score are weighted and calculated according to the first weight and the second weight.

According to the result of the weighted calculation, the first network quality score of the target cell is determined.

In some embodiments, the preset calculation model is a proportional, integral and differential calculation model, and the update module 403 is specifically used to:

The difference between the first network quality score of the target cell and the first threshold is determined.

The difference is input into the proportional integral differential calculation model.

The proportional integral differential calculation model performs proportional adjustment operation, integral adjustment operation and differential adjustment operation on the difference value respectively.

The correction parameter of the network switching threshold is determined according to the operation result.

The network switching threshold of the target cell is updated according to the correction parameter.

In some embodiments, the processing module 402 is also used to:

If the network quality of the target cell reaches a predetermined condition, or when the number of updates reaches a second threshold, it is determined that the update is completed.

The network switching threshold output by the preset calculation model at the end of the update is determined as the target network switching threshold of the target cell.

In some embodiments, the processing module 402 is specifically used to:

Obtain second network switching information within a second time range of the target cell after the network switching threshold is updated.

Determine a second network quality score of the target cell within a second time range according to the second network switching information.

If the difference between the second network quality score of the target cell and the first threshold is less than or equal to the third threshold, it is determined that the network quality of the target cell reaches the predetermined condition.

If the difference between the second network quality score of the target cell and the first threshold is greater than the third threshold, it is determined that the network quality of the target cell does not meet the predetermined condition.

The network switching threshold determination device provided by the embodiment shown in Figure 4 can be used to execute the technical solutions of the method embodiments shown in Figures 1 to 3 of this specification. For its implementation principles and technical effects, further reference can be made to the relevant descriptions in the method embodiments.

Figure 5 is a schematic structural diagram of another network switching threshold determination device provided by an embodiment of the present invention. As shown in Figure 5, the above-mentioned network switching threshold determination device may include at least one processor; and at least one device communicatively connected with the above-mentioned processor. Memory, wherein: the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the network switching threshold determination method provided by the embodiments shown in Figures 1 to 3 of this specification.

As shown in Figure 5, the network switching threshold determination device is represented by a general computing device. The components of the network switching threshold determination device may include, but are not limited to: one or more processors 510, communication interfaces 520 and memory 530, and a communication bus 540 connecting different system components (including memory 530, communication interface 520 and processing unit 510).

Communications bus 540 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics accelerated port, a processor, or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to the Industry Standard Architecture (Industry Standard Architecture; hereinafter referred to as: ISA) bus, Micro Channel Architecture (Micro Channel Architecture; hereinafter referred to as: MAC) bus, enhanced ISA bus, and video electronic standards Association (Video Electronics Standards Association; hereafter referred to as: VESA) local bus and peripheral component interconnection (Peripheral Component Interconnection; hereafter referred to as: PCI) bus.

Network switching threshold determination devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by devices determined by the network switching threshold, including volatile and non-volatile media, removable and non-removable media.

The memory 530 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter referred to as: RAM) and/or cache memory. The network switching threshold determination device may further include other removable/non-removable, volatile/non-volatile computer system storage media. The memory 530 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of various embodiments of the present specification.

A program/utility having a set of (at least one) program modules, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored in memory 530 , each of these examples or some combination may include the implementation of a network environment. Program modules generally perform functions and/or methods in the embodiments described in this specification.

The processor 510 executes various functional applications and data processing by running programs stored in the memory 530, for example, implementing the network switching threshold determination method provided by the embodiments shown in FIGS. 1 to 3 of this specification.

Embodiments of this specification provide a computer-readable storage medium. The computer-readable storage medium stores computer instructions. The computer instructions cause the computer to execute the network switching threshold determination provided by the embodiments shown in Figures 1 to 3 of this specification. method.

The above computer-readable storage medium may be any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ReadOnly Memory); (hereinafter referred to as: ROM), Erasable Programmable ReadOnly Memory (Erasable Programmable ReadOnly Memory (hereinafter referred to as: EPROM)) or flash memory, optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, Or any suitable combination of the above. As used herein, a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.

The foregoing describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order shown, or sequential order, to achieve desirable results. Multitasking and parallel processing are also possible or may be advantageous in certain implementations.

In the description of this specification, reference to the terms "one embodiment," "some embodiments," "an example," "specific examples," or "some examples" or the like means that specific features are described in connection with the embodiment or example. , structures, materials or features are included in at least one embodiment or example of this specification. In this specification, the schematic expressions of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, those skilled in the art may combine and combine different embodiments or examples and features of different embodiments or examples described in this specification unless they are inconsistent with each other.

In addition, the terms “first” and “second” are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Therefore, features defined as "first" and "second" may explicitly or implicitly include at least one of these features. In the description of this specification, "plurality" means at least two, such as two, three, etc., unless otherwise clearly and specifically limited.

Any process or method descriptions in flowcharts or otherwise described herein may be understood to represent modules, segments, or portions of code that include one or more executable instructions for implementing customized logical functions or steps of the process. , and the scope of the preferred embodiments of this description includes additional implementations in which functions may be performed out of the order shown or discussed, including in a substantially simultaneous manner or in the reverse order, depending on the functionality involved, which shall It should be understood by those skilled in the art to which the embodiments of this specification belong.

Depending on the context, the word "if" as used herein may be interpreted as "when" or "when" or "in response to determination" or "in response to detection." Similarly, depending on the context, the phrase "if determined" or "if (stated condition or event) is detected" may be interpreted as "when determined" or "in response to determining" or "when (stated condition or event) is detected )" or "in response to detecting (a stated condition or event)".

It should be noted that the devices involved in the embodiments of this specification may include but are not limited to personal computers (Personal Computer; hereinafter referred to as: PC), personal digital assistants (Personal Digital Assistant; hereinafter referred to as: PDA), wireless handheld devices, tablets Computers (Tablet Computers), mobile phones, MP3 monitors, MP4 monitors, etc.

In the several embodiments provided in this specification, 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 illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined. Either it can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.

In addition, each functional unit in each embodiment of this specification may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium and includes a number of instructions to cause a computer device (which can be a personal computer, a connector, or a network device, etc.) or a processor (Processor) to execute the methods described in various embodiments of this specification. some steps. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), magnetic disks or optical disks, etc. A medium on which program code can be stored.

The above are only preferred embodiments of this specification and are not intended to limit this specification. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this specification shall be included in this specification. within the scope of protection.

Claims (9)

1. A method for determining a network switch threshold, comprising:

acquiring first network switching information of a target cell in a first time length range;

determining a first network quality score of the target cell according to the first network handover information;

if the first network quality score is smaller than a first threshold value, updating a network switching threshold of the target cell by adopting a preset calculation model;

determining whether the network quality of the target cell after the network switching threshold is updated reaches a preset condition;

if the network quality of the target cell does not reach the set condition, updating the network switching threshold of the target cell by adopting the preset calculation model again;

the first network switching information includes: number of calls, number of requested network switches, and number of successful network switches;

the preset calculation model is a proportional-integral-derivative calculation model, and the updating of the network switching threshold of the target cell by adopting the preset calculation model comprises the following steps:

determining a difference between a first network quality score of the target cell and the first threshold;

inputting the difference value into the proportional-integral-derivative calculation model;

the proportional integral differential calculation model respectively carries out proportional adjustment operation, integral adjustment operation and differential adjustment operation on the difference value;

determining correction parameters of the network switching threshold according to the operation result;

and updating the network switching threshold of the target cell according to the correction parameter.

2. The method of claim 1, wherein determining a first network quality score for the target cell based on the first network handover information comprises:

determining the network switching success rate of the target cell according to the network switching request times and the network switching success times;

determining the network switching duty ratio of the target cell according to the request network switching times and the call times;

and determining a first network quality score of the target cell according to the network switching success rate, the network switching duty ratio and the network switching times.

3. The method of claim 2, wherein determining a first network quality score for the target cell based on the network handover success rate, the network handover duty cycle, and the number of requested network handovers comprises:

determining a first score according to the network switching success rate and the number of network switching requests;

determining a second score according to the network switching duty ratio and the number of network switching requests;

determining a first weight of the first score and a second weight of the second score, respectively;

weighting and calculating the first score and the second score according to the first weight and the second weight;

and determining a first network quality score of the target cell according to the weighted calculation result.

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

if the network quality of the target cell reaches a preset condition, or when the updated times reach a second threshold value, determining that updating is finished;

and determining the network switching threshold output by the preset calculation model when updating is finished as the target network switching threshold of the target cell.

5. The method of claim 1, wherein determining whether the network quality of the target cell after the network handover threshold update meets a predetermined condition comprises:

acquiring second network switching information in a second duration range of the target cell after updating the network switching threshold;

determining a second network quality score of the target cell within a second duration range according to the second network switching information;

if the difference value between the second network quality score of the target cell and the first threshold value is smaller than or equal to a third threshold value, determining that the network quality of the target cell reaches a preset condition;

and if the difference value between the second network quality score of the target cell and the first threshold value is larger than the third threshold value, determining that the network quality of the target cell does not reach a preset condition.

6. A network handover threshold determining apparatus, comprising:

the acquisition module is used for acquiring first network switching information of the target cell in a first time length range;

the processing module is used for determining a first network quality score of the target cell according to the first network switching information;

the updating module is used for updating the network switching threshold of the target cell by adopting a preset calculation model if the first network quality score is smaller than a first threshold;

the processing module is further configured to determine whether the network quality of the target cell after the network handover threshold is updated reaches a predetermined condition;

the updating module is further configured to, if the network quality of the target cell does not reach a predetermined condition, re-use the preset calculation model to update the network handover threshold of the target cell;

the first network switching information includes: number of calls, number of requested network switches, and number of successful network switches;

the preset calculation model is a proportional-integral-derivative calculation model, and the updating module is specifically configured to:

determining a difference between a first network quality score of the target cell and the first threshold;

inputting the difference value into the proportional-integral-derivative calculation model;

the proportional integral differential calculation model respectively carries out proportional adjustment operation, integral adjustment operation and differential adjustment operation on the difference value;

determining correction parameters of the network switching threshold according to the operation result;

and updating the network switching threshold of the target cell according to the correction parameter.

7. The apparatus according to claim 6, characterized in that said processing module is in particular configured to:

determining the network switching success rate of the target cell according to the network switching request times and the network switching success times;

determining the network switching duty ratio of the target cell according to the request network switching times and the call times;

and determining a first network quality score of the target cell according to the network switching success rate, the network switching duty ratio and the network switching times.

8. The apparatus according to claim 6, characterized by comprising:

at least one processor; and

at least one memory communicatively coupled to the processor, wherein:

the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1-5.

9. A computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 5.