CN113873569A

CN113873569A - Radio resource management method, storage medium, and electronic device

Info

Publication number: CN113873569A
Application number: CN202010618066.2A
Authority: CN
Inventors: 涂小勇; 刘建华; 刘卫东
Original assignee: ZTE Corp
Current assignee: ZTE Corp
Priority date: 2020-06-30
Filing date: 2020-06-30
Publication date: 2021-12-31
Anticipated expiration: 2040-06-30
Also published as: WO2022001555A1; CN113873569B

Abstract

The invention discloses a wireless resource management method, which is applied to a policy control function PCF entity side and comprises the following steps: sending a data subscribing and analyzing request carrying target user information to a network data analysis function (NWDAF) entity so that the NWDAF entity generates user analysis data corresponding to a target user in response to the data subscribing and analyzing request; and receiving user analysis data sent by the NWDAF entity, and determining a radio resource management strategy of the target user according to the user analysis data. The invention also correspondingly discloses a radio resource management method respectively applied to the access and mobile management function AMF entity side and the network data analysis function NWDAF entity side.

Description

Radio resource management method, storage medium, and electronic device

Technical Field

The present application relates to the field of mobile communications, and in particular, to a radio resource management method, a storage medium, and an electronic device.

Background

Mobile communications have now progressed to the 5G stage. Compared with the prior mobile network, the 5G network reconstructs the network by introducing the network slice and adopts a service architecture, thereby providing richer personalized services for users. A terminal (UE) mainly accesses to a 5G network through a wireless air interface and obtains a service. The Radio Access Network (RAN) is responsible for scheduling air interface resources of the UE Access Network and managing connection of the air interface, so that the UE interacts information with Access and Mobility Management functions (AMF) of the core Network through Non-Access Stratum signaling (NAS).

In particular, 5G networks introduce a Network Data analysis Function (NWDAF) responsible for obtaining user and Network information. After processing the acquired information, the NWDAF generates analysis data and provides the analysis data to the Network Function (NF) subscribed to it. The user information may include dynamic information such as user mobility information and a service accessed by the user, and static information such as subscription. The user information may include dynamic information such as load of NF and static information such as network deployment. Based on the static user information, the wireless resources can be optimally configured to a certain extent, and the requirements of practical application, especially the access requirements of various mobile terminals, cannot be completely met.

Disclosure of Invention

The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

In one aspect, an embodiment of the present invention provides a radio resource management method, applied to an access and mobility management function AMF entity side or a policy control function PCF entity side, including: sending a data subscribing and analyzing request carrying target user information to a network data analysis function (NWDAF) entity, wherein the subscribed and analyzed data carry the target user information, so that the NWDAF entity responds to the data subscribing and analyzing request and generates user analysis data corresponding to a target user; and receiving user analysis data sent by the NWDAF entity, and determining a radio resource management strategy of the target user according to the user analysis data.

On the other hand, an embodiment of the present invention provides a radio resource management method, applied to a network data analysis function NWDAF entity, including: receiving a subscription analysis data request sent by an access and mobility management function (AMF) entity or a Policy Control Function (PCF) entity, wherein the subscription analysis data request carries subscribed target user information; generating user analysis data corresponding to the target user in response to the subscription analysis data request; and sending the user analysis data to an access and mobility management function (AMF) entity or a Policy Control Function (PCF) entity, so that the AMF entity or the PCF entity determines a user radio resource management policy based on the user analysis data.

In another aspect, an embodiment of the present invention provides an electronic device, including: a memory for storing a program; a processor for executing the program stored in the memory, the processor being configured to perform the radio resource management method as described above when the processor executes the program stored in the memory.

In still another aspect, an embodiment of the present invention provides a storage medium storing computer-executable instructions for performing the above-mentioned radio resource management method.

The scheme of the embodiment of the invention solves the problem that the network side is difficult to update the user wireless resource management strategy in time according to the wireless network load information such as the user dynamic change information and/or the cell congestion information. By the method, the network side updates the user wireless resource management strategy in time according to the user dynamic change information and/or the wireless network load information such as the cell congestion information, so that the wireless resource utilization is better and the wireless congestion control is more flexible.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.

Fig. 1 is a flowchart of a first embodiment of a radio resource management method provided in the present application;

fig. 2 is a flowchart of a second embodiment of a radio resource management method provided in the present application;

FIG. 3 is a swim lane diagram of a second embodiment of a radio resource management method provided herein;

fig. 4 is a flowchart of a third embodiment of a radio resource management method provided in the present application;

FIG. 5 is a swim lane diagram of a third embodiment of a radio resource management method provided herein;

fig. 6 is a flowchart of a fourth embodiment of a radio resource management method provided in the present application;

fig. 7 is a flowchart of a fifth embodiment of a radio resource management method provided in the present application;

FIG. 8 is a swim lane diagram of a fifth embodiment of a radio resource management method provided by the present application;

fig. 9 is a flowchart of a sixth embodiment of a radio resource management method provided by the present application;

fig. 10 is a flowchart of a seventh embodiment of a radio resource management method provided by the present application;

fig. 11 is a block diagram of an electronic device provided in the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

It should be understood that in the description of the embodiments of the present invention, a plurality (or a plurality) means two or more, more than, less than, more than, etc. are understood as excluding the number, and more than, less than, etc. are understood as including the number. If the description of "first", "second", etc. is used for the purpose of distinguishing technical features, it is not intended to indicate or imply relative importance or to implicitly indicate the number of indicated technical features or to implicitly indicate the precedence of the indicated technical features.

Compared with the existing 4G network, the 5G network introduces the NWDAF for more automatic management and more flexible use of the 5G network. Specifically, the NWDAF, as a core network control plane entity, can obtain user and network information from network elements on a 5G network architecture, such as a network Function, an Application Function (AF), an Operation and Maintenance Administration (OAM), and Maintenance. This information may be utilized to identify the UE accessing the mobile network and its currently accessed services. For example, the current network side may select an appropriate RFSP for the UE based on static subscription information (e.g., subscribed RFSP) of the UE, UE capability (e.g., whether voice can be provided through IMS), user status (e.g., roaming or local access), accessed service, and so on. For example, a Policy Control Function (PCF) is used as a core network Control plane entity, which is a functional entity responsible for access and mobility management policies, UE policies, session management policies, and charging rules. The functional entity mainly generates an access and mobility management policy, a UE routing policy, a QoS (Quality of Service) rule and a charging rule for user data transmission and the like according to the Service information, the user subscription information and the configuration information of an operator.

However, the mobility patterns of different users (e.g. low mobility users), the mobility habits of users, the access service habits of users, network congestion information, etc. are dynamically changed. At present, the network side is difficult to update RFSP used by a user in time according to the dynamic change information of the user.

The network side of 5G may select an access method and a Frequency point Selection Priority Index (RFSP) for the UE based on information such as static subscription information of the user, UE capability, and service accessed by the user state. However, the mobility patterns, mobility habits, and network congestion information of different users are dynamically changing. Therefore, it is difficult for the network side to update the RFSP used by the user in time based on the dynamic change information.

Based on this, the method and the device provide that the network elements such as 5GC NF, AF, OAM or RAN and the like are assisted by the NWDAF to acquire the original data of the 5G network, the acquired original information is processed, analysis data are generated, and meanwhile the radio resource management strategy of the UE is dynamically adjusted by combining with a local strategy, so that the utilization of radio resources is better, and the control of radio congestion is more flexible.

Example I

The application provides a wireless resource management method which is applied to a policy control function PCF entity side. As shown in fig. 1, the method includes:

step S101: the PCF entity sends a data subscription and analysis request carrying target user information to the NWDAF entity so that the NWDAF entity responds to the data subscription and analysis request and generates user analysis data corresponding to a target user;

here, the subscription analysis data request sent by the PCF entity to the NWDAF entity may carry information such as a data type (e.g., a user mobility pattern, which may include a user mobility pattern or a predicted mobility track) that needs to be subscribed, a subscribed target user (e.g., a SUPI list or an Interval Group ID), and at least one of the above information. Alternatively, the subscription analysis data request includes movement behavior data of a target user who needs to subscribe, and the user analysis data correspondingly contains analysis data indicating a user movement pattern. The NWDAF entity may obtain the mobility data of the target user directly or indirectly from the AMF entity. For example, the NWDAF entity may directly obtain the original information from one or more of the network elements such as the 5GC NF, AF, OAM, or RAN, or may use a large data platform and/or other systems that may capture and store user signaling and data.

Step S102: and receiving user analysis data sent by the NWDAF entity, and determining a radio resource management strategy of the target user according to the user analysis data.

Specifically, the PCF entity receives, for example, an analysis data notification request sent by the NWDAF entity based on a mobile behavior analysis report of a target user. Wherein the analysis data notification request includes at least analysis data generated by the NWDAF entity indicative of a user movement pattern; the PCF entity then determines whether to adjust the user radio resource management policy in response to the analysis data notification request message and based at least on data in the analysis data notification request message.

Wherein the user radio resource management policy comprises at least the used RFSP and the paging policy (including the settings of paging area, paging priority, paging assistance data, etc.). The adjustment of the user radio resource management strategy can realize timely response to user dynamic change information and/or network congestion information to a certain extent so as to fully utilize radio resources and avoid congestion.

In practical application, the user moving mode may be classified into various types, such as high mobility, medium mobility, low mobility, or no movement, according to a specific application scenario or resource management requirement. The different mobility may be classified based on historical statistics of the user, and the mobility of the user may be predicted based on the historical statistics.

In practical applications, the method may further include that, after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message. Accordingly, the PCF entity may return an analysis data notification response message after receiving the analysis data notification request message.

In addition, the NWDAF entity may also directly or indirectly obtain user access service information or user subscription information of the target user from the AMF entity, the cluster control function TCF entity, or the AF entity. Correspondingly, the PCF entity may determine whether to adjust the user radio resource management policy in combination with the user access service information or the user subscription information.

Example II

Aiming at the specific adjustment of the user wireless resource management strategy, the application also provides a wireless resource management method which is applied to the PCF entity side of the strategy control function. Referring to the flowchart shown in FIG. 2 and the swim lane diagram shown in FIG. 3, the method includes:

step S201: the PCF entity sends a subscription analysis data request carrying target user information to the NWDAF entity, so that the NWDAF entity responds to the subscription analysis data request and acquires the mobile behavior data of a target user from the AMF entity to generate user analysis data corresponding to the target user;

similarly, the subscription analysis data request sent by the PCF entity to the NWDAF entity may carry information such as a data type (e.g., a user mobility pattern, which may include a mobility behavior pattern or a predicted mobility track of the user) to be subscribed, a subscribed target user (e.g., a SUPI list or an Interval Group ID), and at least one of the above information. Alternatively, the subscription analysis data request includes movement behavior data of a target user who needs to subscribe, and the user analysis data correspondingly contains analysis data indicating a user movement pattern. The NWDAF entity may obtain the mobility data of the target user directly or indirectly from the AMF entity. For example, the NWDAF entity may directly obtain the original information from one or more of the network elements such as the 5GC NF, AF, OAM, or RAN, or may use a large data platform and/or other systems that may capture and store user signaling and data.

Step S202: the PCF entity receives an analysis data notification request message sent by the NWDAF entity based on a mobility analysis report of a target user, wherein the analysis data notification request message contains at least user mobility pattern analysis data generated by the NWDAF entity (e.g., steps S202-c shown in fig. 3). In response to the analyzed data notification request message, and based at least on the data in the analyzed data notification request message, the PCF entity determines whether to adjust a user radio resource management policy (e.g., steps S202-f shown in fig. 3). When it is determined that the user radio resource management policy needs to be adjusted, the PCF entity informs the AMF entity of the new RFSP or parameters when paging the user, and then the AMF entity informs the RAN of the relevant parameters to implement the adjustment (e.g., steps S202-g shown in fig. 3).

In practical applications, the user movement patterns may be classified into various types such as high mobility, medium mobility, low mobility, or no movement according to specific application scenarios or resource management requirements (e.g., steps S202-d shown in fig. 3). The different mobility may be classified based on historical statistics of the user, and the mobility of the user may be predicted based on the historical statistics.

In practical applications, the method may further include that, after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message (e.g., step S202-a shown in fig. 3). Accordingly, upon receiving the analysis data notification request message, the PCF entity may return an analysis data notification response message (e.g., steps S202-e shown in fig. 3).

In addition, the NWDAF entity also obtains user access service information or user subscription information of the target user directly or indirectly from the AMF entity, the cluster Control Function TCF entity (Trunking Control Function), or the AF entity (e.g., step S202-b shown in fig. 3). Correspondingly, the PCF entity may determine whether to adjust the user radio resource management policy in combination with the user access service information or the user subscription information.

Example III

The NWDAF can acquire user dynamic information including user mobility information, accessed service information and the like, and user static information such as subscription and the like and wireless network load information such as cell congestion information and the like from 5GC NF, AF, OAM, RAN or the like. In order to fully and comprehensively acquire the information of the current network environment to make proper wireless resource allocation, the application also provides a wireless resource management method which is applied to the PCF entity side. Referring to the flowchart shown in FIG. 4 and the corresponding swim lane diagram shown in FIG. 5, the method includes:

step S301: the method comprises the steps that a PCF entity sends a data subscription and analysis request to an NWDAF entity, so that the NWDAF entity responds to the data subscription and analysis request, acquires mobile behavior data of a target user from an AMF entity, and acquires the mobile behavior data and/or cell load information of the target user from a RAN to generate user analysis data corresponding to the target user;

similarly, the subscription analysis data request sent by the PCF entity to the NWDAF entity may carry information such as a data type (e.g., a user mobility pattern, which may include a mobility behavior pattern or a predicted mobility track of the user) to be subscribed, a subscribed target user (e.g., a SUPI list or an Interval Group ID), and at least one of the above information. Alternatively, the subscription analysis data request includes movement behavior data of the target user who needs to subscribe, so that the user analysis data accordingly contains analysis data indicating a user movement pattern. The NWDAF entity may obtain mobility data of the target user directly or indirectly from the AMF entity (e.g., step S302-b shown in fig. 5) and directly or indirectly from the RAN (e.g., step S302-c shown in fig. 5). For example, the NWDAF entity may directly obtain the original information from one or more of the network elements such as the 5GC NF, AF, OAM, or RAN, or may use a large data platform and/or other systems that may capture and store user signaling and data.

Step S302: the PCF entity receives an analysis data notification request sent by the NWDAF entity based on a mobility behavior analysis report of a target user, wherein the analysis data notification request includes at least analysis data generated by the NWDAF entity indicative of a user' S mobility pattern (e.g., steps S302-d shown in fig. 5). Based on the user movement pattern analysis data and the cell load information, the NWDAF entity predicts a user movement trajectory and a predicted wireless network load corresponding to the user movement trajectory, thereby generating an analysis data notification request message containing information such as analysis data indicating a user movement pattern, a predicted user movement trajectory, and a wireless network load corresponding to the user movement trajectory (e.g., steps S302-e shown in fig. 5). In response to the analyzed data notification request message, and based at least on the data in the analyzed data notification request message, the PCF entity determines whether to adjust a user radio resource management policy (e.g., steps S302-g shown in fig. 5). When it is determined that the user radio resource management policy needs to be adjusted, the PCF entity informs the AMF entity of the new RFSP or parameters when paging the user, and then the AMF entity informs the RAN of the relevant parameters to implement the adjustment (e.g., step S302-h shown in fig. 5).

Referring to the swim lane diagram shown in fig. 4, in practical applications, the method may further include that, after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message (e.g., step S302-a shown in fig. 5). Accordingly, upon receiving the analysis data notification request message, the PCF entity may return an analysis data notification response message (e.g., steps S302-f shown in fig. 5).

In addition, the NWDAF entity also obtains the user access service information or the user subscription information of the target user directly or indirectly from the AMF entity, the cluster control function TCF entity, or the AF entity. Correspondingly, the PCF entity may determine whether to adjust the user radio resource management policy in combination with the user access service information or the user subscription information.

Example IV

The application also provides a wireless resource management method which is applied to the access and mobile management function AMF entity side. Referring to the flowchart shown in fig. 6, the method includes:

step S401: the AMF entity sends a data subscribing and analyzing request carrying target user information so that the NWDAF entity responds to the data subscribing and analyzing request and generates user analyzing data corresponding to a target user;

here, the subscription analysis data request sent by the AMF entity to the NWDAF may carry information such as a data type (e.g., a user movement pattern, which may include a user movement behavior pattern or a predicted movement trajectory) that needs to be subscribed, a subscribed target user (e.g., a SUPI list or an Interval Group ID), and at least one of the above information. Alternatively, the subscription analysis data request includes movement behavior data of a target user who needs to subscribe, and the user analysis data correspondingly contains analysis data indicating a user movement pattern. Similar to the previous embodiments, the NWDAF entity may obtain the movement behavior data of the target user directly or indirectly from the AMF entity. For example, the NWDAF entity may directly obtain the original information from one or more of the network elements such as the 5GC NF, AF, OAM, or RAN, or may use a large data platform and/or other systems that may capture and store user signaling and data.

Step S402: and the AMF entity receives user analysis data sent by the NWDAF entity and determines a user radio resource management strategy according to the user analysis data.

In practical applications, the method may further include that, after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message. Accordingly, the AMF entity may return an analysis data notification response message after receiving the analysis data notification request message.

Example V

Aiming at the specific adjustment of the user radio resource management strategy, the application also provides a radio resource management method which is applied to an access and mobile management function (AMF) entity side. Referring to the flowchart shown in FIG. 7 and the swim lane diagram shown in FIG. 8, the method includes:

step S501: an AMF entity sends a subscription analysis data request carrying target user information to a network data analysis function (NWDAF) entity so that the NWDAF entity responds to the subscription analysis data request and generates user analysis data corresponding to a target user;

similarly, the subscription analysis data request sent by the AMF entity to the NWDAF entity may carry information such as a data type (e.g., a user movement pattern, which may include a movement behavior pattern or a predicted movement trajectory of the user) to be subscribed, a subscribed target user (e.g., a SUPI list or an Interval Group ID), and at least one of the above information. Alternatively, the subscription analysis data request includes movement behavior data of a target user who needs to subscribe, and the user analysis data correspondingly contains analysis data indicating a user movement pattern. The NWDAF entity may obtain the mobility behavior data of the target user directly or indirectly from the AMF entity (e.g., step S502-b shown in fig. 8). For example, the NWDAF entity may directly obtain the original information from one or more of the network elements such as the 5GC NF, AF, OAM, or RAN, or may use a large data platform and/or other systems that may capture and store user signaling and data.

Step S502: the AMF entity receives an analysis data notification request sent by the NWDAF entity based on a movement behavior analysis report of a target user (e.g., steps S502-d shown in fig. 8), wherein the analysis data notification request message contains at least user movement pattern analysis data generated by the NWDAF entity (e.g., steps S502-c shown in fig. 8). In response to the analysis data notification request message and based at least on data in the analysis data notification request message, the AMF entity determines whether to adjust a user radio resource management policy (e.g., steps S502-f shown in fig. 8). When it is determined that the user radio resource management policy needs to be adjusted, the AMF entity informs the RAN of relevant parameters to implement the adjustment (e.g., steps S502-g shown in fig. 8).

Referring to the swim lane diagram shown in fig. 8, the method may further include, upon receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message (e.g., step S502-a shown in fig. 8). Accordingly, the AMF entity may also return an analysis data notification response message after receiving the analysis data notification request message (e.g., steps S502-e shown in fig. 8).

In addition, the NWDAF entity also obtains the user access service information or the user subscription information of the target user directly or indirectly from the AMF entity, the cluster control function TCF entity, or the AF entity. Accordingly, the AMF entity may determine whether to adjust the user radio resource management policy in combination with the user access service information or the user subscription information.

Example VI

The application also provides a wireless resource management method and a network data analysis function NWDAF entity side. Referring to the flowchart shown in fig. 9, the method includes:

step S601: receiving a subscription analysis data request sent by an AMF entity or a PCF entity;

step S602: the NWDAF entity responds to the subscription analysis data request and generates user analysis data corresponding to the target user;

here, the subscription analysis data request transmitted to the NWDAF entity may carry information such as a data type (e.g., user mobility pattern) to be subscribed, a target user (e.g., SUPI list or Interval Group ID) to be subscribed, and the like, or at least one of the above information. Alternatively, the subscription analysis data request includes movement behavior data of a target user who needs to subscribe, and the user analysis data correspondingly contains analysis data indicating a user movement pattern. Similar to the previous embodiments, the NWDAF entity may directly or indirectly obtain the mobility data of the target user from the AMF entity or the RAN, thereby generating the mobility pattern of the target user according to the mobility data. Alternatively, the NWDAF may also directly or indirectly obtain the movement trace data of the target user from the AMF entity or the RAN, so as to generate the movement behavior pattern of the target user and/or predict the movement trace according to the movement trace information. For example, the NWDAF entity may directly obtain the original information from one or more of the network elements such as 5GC NF, AF, OAM, etc., or may capture and store the user signaling and data through a large data platform and/or other systems.

Step S603: and the NWDAF entity sends the user analysis data to an AMF entity or a PCF entity, so that the AMF entity or the PCF entity determines a user radio resource management strategy based on the user analysis data.

In practical applications, the method may further include that, after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message. Accordingly, after receiving the analysis data notification request message, the AMF entity or the PCF entity may return an analysis data notification response message.

In addition, the NWDAF entity may also directly or indirectly obtain user access service information or user subscription information of the target user from an AMF entity, a session management function smf (service management facility) entity, a cluster control function tcf (trunking control function) entity, or an AF entity. Correspondingly, the PCF entity or the AMF entity may determine whether to adjust the user radio resource management policy in combination with the user access service information or the user subscription information.

Example VII

The NWDAF can acquire user dynamic information including user mobility information, accessed service information and the like, and user static information such as subscription and the like and wireless network load information such as cell congestion information and the like from 5GC NF, AF, OAM, RAN or the like. In order to fully and comprehensively acquire the information of the current network environment to make proper wireless resource allocation, the application also provides a wireless resource management method which is applied to the network data analysis function NWDAF entity side. Referring to the flowchart shown in fig. 10, the method includes:

step S701: receiving a subscription analysis data request sent by an AMF entity or a PCF entity;

step S702: the NWDAF entity receives a data subscription and analysis request, responds to the data subscription and analysis request, acquires the mobile behavior data of a target user from the AMF entity, and acquires the mobile behavior data and/or cell load information of the target user from RAN to generate user analysis data corresponding to the target user;

similarly, the subscription analysis data request received by the NWDAF entity may carry information such as a data type (e.g., user mobility pattern) to be subscribed, a target user (e.g., SUPI list or Interval Group ID) to be subscribed, or at least one of the above information. Alternatively, the subscription analysis data request includes movement behavior data of the target user who needs to subscribe, so that the user analysis data accordingly contains analysis data indicating a user movement pattern. The NWDAF entity may obtain the mobility data of the target user directly or indirectly from the AMF entity and the mobility data and/or cell load information of the target user directly or indirectly from the RAN. For example, the NWDAF entity may directly obtain the original information from one or more of the network elements such as 5GC NF, AF, OAM, etc., or may capture and store the user signaling and data through a large data platform and/or other systems.

Step S703: the PCF entity or the AMF entity receives an analysis data notification request sent by the NWDAF entity based on a mobile behavior analysis report of a target user, wherein the analysis data notification request at least comprises analysis data generated by the NWDAF entity and indicating a user mobile mode. The NWDAF entity predicts a user movement track and a predicted wireless network load corresponding to the user movement track based on user movement pattern analysis data and cell load information, and accordingly generates an analysis data notification request message containing information such as analysis data indicating the user movement pattern, the predicted user movement track and the wireless network load corresponding to the user movement track. In response to the analyzed data notification request message and based at least on data in the analyzed data notification request message, the PCF entity or the AMF entity determines whether to adjust a user radio resource management policy. When determining that the user radio resource management strategy needs to be adjusted, the PCF entity informs the AMF entity of the parameters of a new RFSP or the time of paging the user, and then the AMF entity informs the RAN of the relevant parameters to realize the adjustment. Alternatively, the AMF entity directly informs the RAN of the relevant parameters to implement the adjustment.

The user radio resource management policy includes at least the used RFSP and the number of paging policies (including settings of paging area, paging priority, paging assistance data, etc.). The adjustment of the user radio resource management strategy can realize timely response to user dynamic change information and/or network congestion information to a certain extent so as to fully utilize radio resources and avoid congestion.

In practical applications, the method may further include that, after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message. Accordingly, after receiving the analysis data notification request message, the PCF entity or the AMF entity may return an analysis data notification response message.

In addition, the NWDAF entity also obtains the user access service information or the user subscription information of the target user directly or indirectly from the AMF entity, the cluster control function TCF entity, or the AF entity. Correspondingly, the PCF entity or the AMF entity may determine whether to adjust the user radio resource management policy in combination with the user access service information or the user subscription information.

Embodiments of the present application also provide a storage medium storing computer-executable instructions for performing the above-mentioned radio resource management method.

In an embodiment of the present application, the storage medium stores computer-executable instructions, which are executed by one or more control processors 31, for example, by one processor 31 in the electronic device 30 illustrated in fig. 11, and which may cause the one or more processors 31 to perform the cloud computing service method described above, for example, performing method steps S101 to S103 described in fig. 1, method steps S201 to S202 described in fig. 2, method steps S301 to S302 described in fig. 4, method steps S401 to S402 described in fig. 6, method steps S501 to S502 described in fig. 7, method steps S601 to S603 described in fig. 9, and method steps S701 to S703 described in fig. 10.

The above described embodiments are merely illustrative, wherein elements illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.

Embodiments of this invention are described herein, including the preferred embodiments known to the inventors for carrying out the invention. Variations of those described embodiments may become apparent to those of ordinary skill in the art upon reading the foregoing description. The inventors expect skilled artisans to employ such variations as appropriate, and the inventors intend for the embodiments of the invention to be practiced otherwise than as specifically described herein. Accordingly, the scope of the present invention includes all modifications and equivalents of the subject matter recited in the claims appended hereto as permitted by applicable law. Moreover, any combination of the above-described elements in all possible variations thereof is encompassed by the scope of the invention unless otherwise indicated herein or otherwise clearly contradicted by context.

Claims

1. A radio resource management method is applied to an access and mobility management function (AMF) entity side or a Policy Control Function (PCF) entity side, and is characterized by comprising the following steps:

sending a data subscribing and analyzing request to a network data analysis function (NWDAF) entity, wherein the data subscribing and analyzing request carries target user information, so that the NWDAF entity responds to the data subscribing and analyzing request and generates user analysis data corresponding to a target user;

and receiving user analysis data sent by the NWDAF entity, and determining a radio resource management strategy of the target user according to the user analysis data.

2. The method of claim 1, wherein the subscription analysis data request further carries a data type of a subscription.

3. The radio resource management method of claim 2, wherein the user analysis data comprises at least one of:

a movement behavior pattern;

predicting a moving track;

cell load information corresponding to the predicted movement trajectory;

and predicting access service information.

4. The radio resource management method of claim 1, further comprising:

the PCF entity sends the user radio resource management strategy to an AMF entity, so that the AMF entity sends the user radio resource management strategy to a Radio Access Network (RAN); or

And the AMF entity delivers the determined user radio resource management strategy to a Radio Access Network (RAN).

5. The radio resource management method of claim 1, wherein the radio resource management policy comprises at least one of:

a frequency point selection priority index RFSP;

and (4) paging strategies.

6. A radio resource management method is applied to a network data analysis function (NWDAF) entity side, and is characterized by comprising the following steps:

receiving a subscription analysis data request sent by an access and mobility management function (AMF) entity or a Policy Control Function (PCF) entity, wherein the subscription analysis data request carries subscribed target user information;

generating user analysis data corresponding to the target user in response to the subscription analysis data request;

and sending the user analysis data to an AMF entity or a PCF entity, so that the AMF entity or the PCF entity determines a user radio resource management strategy based on the user analysis data.

7. The method of claim 6, wherein the subscription analysis data request further carries a data type of a subscription.

8. The method of claim 6, wherein the generating user analytics data corresponding to the target user in response to the subscription analytics data request comprises at least one of:

acquiring the movement track data of the target user from the AMF entity and/or the RAN, and generating a movement behavior mode of the target user according to the movement track data;

and acquiring the movement track data of the target user from the AMF entity and/or the RAN, and predicting the movement track according to the movement track data.

9. The method of claim 6, wherein the generating user analytics data corresponding to the target user in response to the subscription analytics data request comprises:

acquiring movement track data from the AMF entity and/or the RAN, and generating a predicted movement track of a target user according to the movement track data;

and acquiring cell load data from the RAN, and generating cell load information corresponding to the predicted movement track according to the predicted movement track and the cell load data.

10. The method of claim 6, wherein the generating user analytics data corresponding to the target user in response to the subscription analytics data request comprises:

and acquiring access service data of a target user from at least one of the AMF entity, the Session Management Function (SMF) entity, the cluster control function (TCF) entity and the Application Function (AF) entity, and generating access service prediction information according to the access service data.

11. The method of claim 8, wherein the user radio resource management policy comprises at least one of a frequency point selection priority index (RFSP) or a paging user parameter.

12. A storage medium comprising a stored program, wherein the program when executed performs the radio resource management method of any one of claims 1 to 11.

13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor performing the radio resource management method of any of the preceding claims 1 to 11 by means of the computer program.