Wireless resource management method, storage medium and electronic device

Abstract

The present invention discloses a wireless resource management method, which is applied to the policy control function PCF entity side, including: sending 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 the target user; receiving the user analysis data sent by the NWDAF entity, and determining the wireless resource management policy of the target user according to the user analysis data. The present invention also discloses wireless resource management methods respectively applied to the access and mobility management function AMF entity side and the network data analysis function NWDAF entity side.

Description

Technical Field

[0001] The present application relates to the field of mobile communications, and in particular to a wireless resource management method, a storage medium and an electronic device. Background Art

[0002] Mobile communications have now developed to the 5G stage. Compared with previous mobile networks, 5G networks have reconstructed the network by introducing network slicing and adopting a service-oriented architecture to provide users with richer personalized services. Terminals (UE, User Equipment) mainly access the 5G network through the wireless air interface and obtain services. Among them, the radio access network (RAN, Radio Access Network) is responsible for the air interface resource scheduling and air interface connection management of the UE access network, allowing the UE to exchange information with the core network's access and mobility management function (AMF, Access and Mobility Management function) through non-access stratum signaling (NAS, Non-Access Stratum).

[0003] In particular, the 5G network introduces a network data analysis function (NWDAF) to obtain user and network information. After processing the acquired information, NWDAF generates analysis data and provides the analysis data to the network function (NF) that subscribes to it. User information can include dynamic information such as user mobility information and services accessed by users, as well as static information such as contracts. User information can include dynamic information such as NF load and static information such as network deployment. Based on this static user information, wireless resources can be optimized to a certain extent, but it cannot fully meet the needs of actual applications, especially the access needs of various mobile terminals. Summary of the invention

[0004] 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.

[0005] On the one hand, an embodiment of the present invention provides a wireless resource management method, which is applied to the access and mobility management function AMF entity side or the policy control function PCF entity side, including: sending a subscription analysis data request carrying target user information to a network data analysis function NWDAF entity, wherein the subscribed analysis data carries the target user information, so that the NWDAF entity responds to the subscription analysis data request and generates user analysis data corresponding to the target user; receiving the user analysis data sent by the NWDAF entity, and determining the wireless resource management policy of the target user based on the user analysis data.

[0006] On the other hand, an embodiment of the present invention provides a wireless resource management method, which is applied to the network data analysis function NWDAF entity side, including: receiving a subscription analysis data request sent by an access and mobility management function AMF entity or a policy control function PCF entity, the subscription analysis data request carrying subscribed target user information; generating user analysis data corresponding to the target user in response to the subscription analysis data request; sending the user analysis data to the access and mobility management function AMF entity or the policy control function PCF entity, so that the AMF entity or the PCF entity determines the user wireless resource management policy based on the user analysis data.

[0007] On the other hand, an embodiment of the present invention provides an electronic device, comprising: a memory for storing programs; a processor for executing the programs stored in the memory, when the processor executes the programs stored in the memory, the processor is used to execute the wireless resource management method as described above.

[0008] On the other hand, an embodiment of the present invention provides a storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the above-mentioned wireless resource management method.

[0009] The solution of the embodiment of the present invention solves the problem that it is difficult for the network side to timely update the user wireless resource management strategy according to the user dynamic change information and / or the wireless network load information such as the cell congestion information. Through the method of the present invention, the network side timely updates the user wireless resource management strategy according to the user dynamic change information and / or the wireless network load information such as the cell congestion information, so as to make the wireless resource utilization better and the wireless congestion control more flexible.

[0010] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The accompanying drawings are used to provide a further understanding of the technical solution of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the technical solution of the present invention and do not constitute a limitation on the technical solution of the present invention.

[0012] Figure 1 Is a flowchart of a first embodiment of the wireless resource management method provided by the present application;

[0013] Figure 2 Is a flowchart of a second embodiment of the wireless resource management method provided by the present application;

[0014] Figure 3 Is a swim lane diagram of the second embodiment of the wireless resource management method provided by the present application;

[0015] Figure 4 Is a flowchart of a third embodiment of the wireless resource management method provided by the present application;

[0016] Figure 5 Is a swim lane diagram of a third embodiment of the wireless resource management method provided by the present application;

[0017] Figure 6 Is a flowchart of a fourth embodiment of the wireless resource management method provided by the present application;

[0018] Figure 7 Is a flowchart of a fifth embodiment of the wireless resource management method provided by the present application;

[0019] Figure 8 Is a swim lane diagram of the fifth embodiment of the wireless resource management method provided by the present application;

[0020] Fig. 9 Is a flowchart of the sixth embodiment of the wireless resource management method provided by the present application;

[0021] Fig.10 Is a flowchart of the seventh embodiment of the wireless resource management method provided by the present application;

[0022] Fig.11 It is a structural diagram of an electronic device provided by this application. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0024] It should be understood that in the description of the embodiments of the present invention, the meaning of multiple (or multiple) is more than two, greater than, less than, and exceeding are understood to exclude the number itself, and above, below, and within are understood to include the number itself. If there is a description of "first", "second", etc., it is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0025] Compared with the existing 4G network, the 5G network introduces NWDAF for more automated management and more flexible use of the 5G network. Specifically, as a core network control plane entity, NWDAF can obtain user and network information from network elements such as network functions, application functions (AF), operation, administration, and maintenance (OAM) located on the 5G network architecture. This information can be used to identify UEs accessing the mobile network and the services they are currently accessing. For example, the current network side can select an appropriate RFSP for the UE based on the user's static subscription information (such as the subscribed RFSP), UE capabilities (such as whether voice can be provided through IMS), user status (such as roaming or local access), accessed services, and other information. For example, the Policy Control Functionality (PCF) is a core network control plane entity and is responsible for access and mobility management policies, UE policies, session management policies, and charging rules. This functional entity mainly generates access and mobility management policies, UE routing selection policies, QoS (Quality of Service) rules and charging rules for user data transmission based on business information, user subscription information and operator configuration information.

[0026] However, the mobility patterns of different users (such as low-mobility users), user mobility habits, user service access habits, network congestion information, etc. are changing dynamically. Currently, it is difficult for the network side to timely update the RFSP used by users based on the user's dynamic change information.

[0027] The 5G network side can select the access mode and frequency selection priority index (RFSP) for the UE based on the user's static subscription information, UE capabilities, user status and access services, etc. 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 timely update the RFSP used by the user based on the above dynamically changing information.

[0028] Based on this, this application proposes to use NWDAF to assist 5GC NF, AF, OAM or RAN and other network elements to obtain the original data of the 5G network, process the obtained original information, generate analysis data, and dynamically adjust the UE's wireless resource management strategy in combination with local strategies, so as to make wireless resource utilization better and wireless congestion control more flexible.

[0029] Embodiment 1

[0030] The present application provides a wireless resource management method, which is applied to the policy control function PCF entity side. Figure 1 As shown, the method includes:

[0031] Step S101: 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 generates user analysis data corresponding to the target user;

[0032] Here, the subscription analysis data request sent by the PCF entity to the NWDAF entity may carry information such as the type of data to be subscribed (for example, user mobility pattern, which may include the user's mobility behavior pattern or predicted mobility trajectory) and the target user to be subscribed (for example, SUPI list or Interval Group ID), or at least one of the above information. Alternatively, the subscription analysis data request includes the mobility behavior data of the target user to be subscribed, and the user analysis data correspondingly includes analysis data indicating the user's mobility pattern. The NWDAF entity can obtain the mobility behavior data of the target user directly or indirectly from the AMF entity. For example, the NWDAF entity can obtain the original information directly from one or more network elements such as 5GC NF, AF, OAM or RAN, or through a big data platform and / or other systems that can capture and store user signaling and data.

[0033] Step S102: receiving user analysis data sent by the NWDAF entity, and determining a radio resource management policy for the target user according to the user analysis data.

[0034] 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 at least includes analysis data indicating a user's mobile pattern generated by the NWDAF entity; then, in response to the analysis data notification request message and based at least on data in the analysis data notification request message, the PCF entity determines whether to adjust the user's wireless resource management policy.

[0035] The user radio resource management strategy includes at least the used RFSP and paging strategy (including the settings of paging area, paging priority, paging auxiliary data, etc.). The adjustment of the above user radio resource management strategy can achieve timely response to user dynamic change information and / or network congestion information to a certain extent, so as to make full use of radio resources and avoid congestion.

[0036] In actual application, user mobility patterns can be classified into multiple types such as high mobility, medium mobility, low mobility or no mobility according to specific application scenarios or resource management requirements. Different mobility can be classified based on historical statistical data of users, and the mobility of users can be predicted based on the above historical statistical data.

[0037] In actual application, the method may further include that after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message. Correspondingly, after receiving the analysis data notification request message, the PCF entity may return an analysis data notification response message.

[0038] In addition, the NWDAF entity can also directly or indirectly obtain the 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. Accordingly, the PCF entity can determine whether to adjust the user wireless resource management policy in combination with the above user access service information or user subscription information.

[0039] Example II

[0040] In view of the specific adjustment of the user's wireless resource management strategy, the present application also provides a wireless resource management method, which is applied to the PCF entity side. Figure 2 The flowchart and Figure 3 As shown in the swim lane diagram, the method includes:

[0041] 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 obtains the mobile behavior data of the target user from the AMF entity to generate user analysis data corresponding to the target user;

[0042] Similarly, the subscription analysis data request sent by the PCF entity to the NWDAF entity here may carry information such as the type of data to be subscribed (for example, user mobility pattern, which may include the user's mobility behavior pattern or predicted mobility trajectory) and the target user to be subscribed (for example, SUPI list or Interval Group ID), or at least one of the above information. Alternatively, the subscription analysis data request includes the mobility behavior data of the target user to be subscribed, and the user analysis data correspondingly includes analysis data indicating the user's mobility pattern. The NWDAF entity can obtain the mobility behavior data of the target user directly or indirectly from the AMF entity. For example, the NWDAF entity can obtain the original information directly from one or more network elements such as 5GC NF, AF, OAM or RAN, or through a big data platform and / or other systems that can capture and store user signaling and data.

[0043] Step S202: The PCF entity receives an analysis data notification request message sent by the NWDAF entity based on a target user's mobile behavior analysis report, wherein the analysis data notification request message at least includes user mobile pattern analysis data generated by the NWDAF entity (for example, Figure 3 In response to the analysis data notification request message and based at least on the data in the analysis data notification request message, the PCF entity determines whether to adjust the user radio resource management policy (for example, Figure 3 When it is determined that the user radio resource management policy needs to be adjusted, the PCF entity notifies the AMF entity of the new RFSP or the parameters when paging the user, and then the AMF entity notifies the RAN of the relevant parameters to implement the adjustment (for example, Figure 3 202 - g).

[0044] The user radio resource management strategy includes at least the used RFSP and paging strategy (including the settings of paging area, paging priority, paging auxiliary data, etc.). The adjustment of the above user radio resource management strategy can achieve timely response to user dynamic change information and / or network congestion information to a certain extent, so as to make full use of radio resources and avoid congestion.

[0045] In actual applications, user mobility patterns can be classified into high mobility, medium mobility, low mobility, or no mobility according to specific application scenarios or resource management requirements (e.g. Figure 3 Different mobilities may be classified based on historical statistical data of the user, and the mobility of the user may be predicted based on the historical statistical data.

[0046] In actual application, the method may further include, after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message (for example, Figure 3 Accordingly, after receiving the analysis data notification request message, the PCF entity may return an analysis data notification response message (eg, Figure 3 Step S202-e) shown in FIG.

[0047] In addition, the NWDAF entity also directly or indirectly obtains the user access service information or user subscription information of the target user from the AMF entity, the trunking control function TCF entity (Trunking Control Function) or the AF entity (for example, Figure 3Accordingly, 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.

[0048] Example III

[0049] Since NWDAF can obtain user dynamic information including user mobility information, accessed service information, and user static information such as subscription and wireless network load information such as cell congestion information from 5GC NF, AF, OAM, or RAN, in order to fully and comprehensively obtain information about the current network environment to make appropriate wireless resource allocation, the present application also provides a wireless resource management method, which is applied to the PCF entity side. Figure 4 The flowchart shown and Figure 5 The corresponding lane diagram shown in FIG. 1 includes:

[0050] Step S301: the PCF entity sends a subscription analysis data request to the NWDAF entity, so that the NWDAF entity responds to the subscription analysis data request, obtains the mobile behavior data of the target user from the AMF entity, and obtains the mobile behavior data and / or cell load information of the target user from the RAN to generate user analysis data corresponding to the target user;

[0051] Similarly, the subscription analysis data request sent by the PCF entity to the NWDAF entity may carry information such as the type of data to be subscribed (for example, user mobility pattern, which may include the user's mobility behavior pattern or predicted mobility trajectory) and the target user to be subscribed (for example, SUPI list or Interval Group ID), or at least one of the above information. Alternatively, the subscription analysis data request includes the mobility behavior data of the target user to be subscribed, so that the user analysis data correspondingly includes analysis data indicating the user's mobility pattern. The NWDAF entity may obtain the mobility behavior data of the target user directly or indirectly from the AMF entity (for example, Figure 5 ), and directly or indirectly obtaining the target user's mobility behavior data and / or cell load information from the RAN (e.g., Figure 5 For example, the NWDAF entity may directly obtain the original information from one or more network elements such as 5GC NF, AF, OAM or RAN, or through a big data platform and / or other systems that can capture and store user signaling and data.

[0052] Step S302: The PCF entity receives an analysis data notification request sent by the NWDAF entity based on a target user's mobile behavior analysis report, wherein the analysis data notification request at least includes analysis data indicating a user's mobile pattern generated by the NWDAF entity (e.g., Figure 5 Based on the user mobility pattern analysis data and the cell load information, the NWDAF entity predicts the user mobility trajectory and the predicted wireless network load corresponding to the user mobility trajectory, thereby generating an analysis data notification request message (for example, Figure 5 In response to the analysis data notification request message and based at least on the data in the analysis data notification request message, the PCF entity determines whether to adjust the user radio resource management policy (for example, Figure 5 When it is determined that the user radio resource management policy needs to be adjusted, the PCF entity notifies the AMF entity of the new RFSP or the parameters when paging the user, and then the AMF entity notifies the RAN of the relevant parameters to implement the adjustment (for example, Figure 5 2-h).

[0053] The user radio resource management strategy includes at least the used RFSP and paging strategy (including the settings of paging area, paging priority, paging auxiliary data, etc.). The adjustment of the above user radio resource management strategy can achieve timely response to user dynamic change information and / or network congestion information to a certain extent, so as to make full use of radio resources and avoid congestion.

[0054] In actual application, user mobility patterns can be classified into multiple types such as high mobility, medium mobility, low mobility or no mobility according to specific application scenarios or resource management requirements. Different mobility can be classified based on historical statistical data of users, and the mobility of users can be predicted based on the above historical statistical data.

[0055] refer to Figure 4 In the swim lane diagram shown in FIG. 1 , in actual application, the method may further include, after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message (for example, Figure 5 Accordingly, after receiving the analysis data notification request message, the PCF entity may return an analysis data notification response message (eg, Figure 5 Step S302-f) shown in FIG.

[0056] In addition, the NWDAF entity also directly or indirectly obtains the 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. Accordingly, the PCF entity can determine whether to adjust the user wireless resource management policy in combination with the above user access service information or user subscription information.

[0057] Example IV

[0058] The present application also provides a wireless resource management method, which is applied to the access and mobility management function AMF entity side. Figure 6 The method comprises:

[0059] Step S401: the AMF entity sends a subscription analysis data request carrying target user information, so that the NWDAF entity responds to the subscription analysis data request and generates user analysis data corresponding to the target user;

[0060] Here, the subscription analysis data request sent by the AMF entity to the NWDAF may carry information such as the type of data to be subscribed (for example, user mobility pattern, which may include the user's mobility behavior pattern or predicted mobility trajectory) and the target user to be subscribed (for example, SUPI list or Interval Group ID), or at least one of the above information. Alternatively, the subscription analysis data request includes the mobility behavior data of the target user to be subscribed, and the user analysis data correspondingly includes analysis data indicating the user's mobility pattern. Similar to the aforementioned embodiment, the NWDAF entity may obtain the mobility behavior data of the target user directly or indirectly from the AMF entity. For example, the NWDAF entity may obtain the original information directly from one or more network elements such as 5GC NF, AF, OAM or RAN, or through a big data platform and / or other systems that can capture and store user signaling and data.

[0061] Step S402: The AMF entity receives the user analysis data sent by the NWDAF entity, and determines a user wireless resource management strategy based on the user analysis data.

[0062] The user radio resource management strategy includes at least the used RFSP and paging strategy (including the settings of paging area, paging priority, paging auxiliary data, etc.). The adjustment of the above user radio resource management strategy can achieve timely response to user dynamic change information and / or network congestion information to a certain extent, so as to make full use of radio resources and avoid congestion.

[0063] In actual application, user mobility patterns can be classified into multiple types such as high mobility, medium mobility, low mobility or no mobility according to specific application scenarios or resource management requirements. Different mobility can be classified based on historical statistical data of users, and the mobility of users can be predicted based on the above historical statistical data.

[0064] In actual application, the method may further include that after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message. Correspondingly, after receiving the analysis data notification request message, the AMF entity may return an analysis data notification response message.

[0065] In addition, the NWDAF entity can also directly or indirectly obtain the 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. Accordingly, the PCF entity can determine whether to adjust the user wireless resource management policy in combination with the above user access service information or user subscription information.

[0066] Example V

[0067] In view of the specific adjustment of the user's wireless resource management strategy, the present application also provides a wireless resource management method, which is applied to the access and mobility management function AMF entity side. Figure 7 The flowchart and Figure 8 As shown in the swim lane diagram, the method includes:

[0068] Step S501: the AMF entity sends a subscription analysis data request carrying target user information to the 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 the target user;

[0069] Similarly, the subscription analysis data request sent by the AMF entity to the NWDAF entity may carry information such as the type of data to be subscribed (for example, user mobility pattern, which may include the user's mobility behavior pattern or predicted mobility trajectory) and the target user to be subscribed (for example, SUPI list or Interval Group ID), or at least one of the above information. Alternatively, the subscription analysis data request includes the mobility behavior data of the target user to be subscribed, and the user analysis data correspondingly includes analysis data indicating the user's mobility pattern. The NWDAF entity may obtain the mobility behavior data of the target user directly or indirectly from the AMF entity (for example, Figure 8For example, the NWDAF entity may directly obtain the original information from one or more network elements such as 5GC NF, AF, OAM or RAN, or through a big data platform and / or other systems that can capture and store user signaling and data.

[0070] Step S502: The AMF entity receives an analysis data notification request (for example, Figure 8 , wherein the analysis data notification request message at least includes the user mobility pattern analysis data generated by the NWDAF entity (eg, Figure 8 In response to the analysis data notification request message and based at least on the data in the analysis data notification request message, the AMF entity determines whether to adjust the user radio resource management policy (for example, Figure 8 When it is determined that the user radio resource management policy needs to be adjusted, the AMF entity notifies the RAN of the relevant parameters to implement the adjustment (for example, Figure 8 Step S502-g) shown in FIG.

[0071] The user radio resource management strategy includes at least the used RFSP and paging strategy (including the settings of paging area, paging priority, paging auxiliary data, etc.). The adjustment of the above user radio resource management strategy can achieve timely response to user dynamic change information and / or network congestion information to a certain extent, so as to make full use of radio resources and avoid congestion.

[0072] In actual application, user mobility patterns can be classified into multiple types such as high mobility, medium mobility, low mobility or no mobility according to specific application scenarios or resource management requirements. Different mobility can be classified based on historical statistical data of users, and the mobility of users can be predicted based on the above historical statistical data.

[0073] refer to Figure 8 The swim lane diagram shown in the figure, the method may also include that after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message (for example, Figure 8 Accordingly, after receiving the analysis data notification request message, the AMF entity may also return an analysis data notification response message (for example, Figure 8 Step S502-e) shown in FIG.

[0074] In addition, the NWDAF entity also directly or indirectly obtains the 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. Accordingly, the AMF entity can determine whether to adjust the user wireless resource management policy in combination with the above-mentioned user access service information or user subscription information.

[0075] Example VI

[0076] The present application also provides a wireless resource management method, a network data analysis function NWDAF entity side. Fig. 9 The method comprises:

[0077] Step S601: receiving a subscription analysis data request sent by an AMF entity or a PCF entity;

[0078] Step S602: the NWDAF entity generates user analysis data corresponding to the target user in response to the subscription analysis data request;

[0079] Here, the subscription analysis data request sent to the NWDAF entity may carry information such as the type of data to be subscribed (e.g., user mobility pattern) and the target user to be subscribed (e.g., SUPI list or Interval Group ID), or at least one of the above information. Alternatively, the subscription analysis data request includes the mobile behavior data of the target user to be subscribed, and the user analysis data correspondingly includes analysis data indicating the user's mobility pattern. Similar to the aforementioned embodiment, the NWDAF entity may directly or indirectly obtain the mobile behavior data of the target user from the AMF entity or RAN, thereby generating the mobile behavior pattern of the target user based on the mobile behavior data. Alternatively, the NWDAF may also directly or indirectly obtain the mobile trajectory data of the target user from the AMF entity or RAN, thereby generating the mobile behavior pattern and / or predicting the mobile trajectory of the target user based on the mobile trajectory information. For example, the NWDAF entity may directly obtain the original information from one or more network elements such as 5GC NF, AF or OAM, or may obtain the original information through a big data platform and / or other systems that can capture and store user signaling and data.

[0080] Step S603: The NWDAF entity sends the user analysis data to the AMF entity or the PCF entity, so that the AMF entity or the PCF entity determines the user wireless resource management policy based on the user analysis data.

[0081] The user radio resource management strategy includes at least the used RFSP and paging strategy (including the settings of paging area, paging priority, paging auxiliary data, etc.). The adjustment of the above user radio resource management strategy can achieve timely response to user dynamic change information and / or network congestion information to a certain extent, so as to make full use of radio resources and avoid congestion.

[0082] In actual application, user mobility patterns can be classified into multiple types such as high mobility, medium mobility, low mobility or no mobility according to specific application scenarios or resource management requirements. Different mobility can be classified based on historical statistical data of users, and the mobility of users can be predicted based on the above historical statistical data.

[0083] In actual application, the method may also include that after receiving the subscription analysis data request, the NWDAF entity may return a subscription analysis data response message. Correspondingly, after receiving the analysis data notification request message, the AMF entity or the PCF entity may return an analysis data notification response message.

[0084] In addition, the NWDAF entity can also directly or indirectly obtain the user access service information or user subscription information of the target user from the AMF entity, the session management function SMF (service management facility) entity, the trunking control function TCF (trunking control function) entity or the AF entity as access service data, and generate access service prediction information based on the access service data. Accordingly, the PCF entity or the AMF entity can determine whether to adjust the user wireless resource management policy in combination with the above-mentioned user access service information or user subscription information.

[0085] Example VII

[0086] Since NWDAF can obtain user dynamic information including user mobility information, accessed service information, and user static information such as contract and cell congestion information from 5GC NF, AF, OAM or RAN, etc., and wireless network load information such as cell congestion information. In order to fully and comprehensively obtain information about the current network environment to make appropriate wireless resource allocation, the present application also provides a wireless resource management method, which is applied to the NWDAF entity side of the network data analysis function. Fig.10 The method comprises:

[0087] Step S701: receiving a subscription analysis data request sent by an AMF entity or a PCF entity;

[0088] Step S702: the NWDAF entity receives a request for subscription analysis data, and in response to the request for subscription analysis data, obtains the mobile behavior data of the target user from the AMF entity, and obtains the mobile behavior data and / or cell load information of the target user from the RAN to generate user analysis data corresponding to the target user;

[0089] Similarly, the subscription analysis data request received by the NWDAF entity may carry information such as the type of data to be subscribed (e.g., user mobility pattern) and the target user to be subscribed (e.g., SUPI list or Interval Group ID), or at least one of the above information. Alternatively, the subscription analysis data request includes the mobile behavior data of the target user to be subscribed, so that the user analysis data correspondingly includes analysis data indicating the user's mobility pattern. The NWDAF entity can directly or indirectly obtain the mobile behavior data of the target user from the AMF entity, and directly or indirectly obtain the mobile behavior data and / or cell load information of the target user from the RAN. For example, the NWDAF entity can obtain the original information directly from one or more network elements such as 5GC NF, AF or OAM, or through a big data platform and / or other systems that can capture and store user signaling and data.

[0090] Step S703: The PCF entity or the AMF entity receives an analysis data notification request sent by the NWDAF entity based on the target user's mobile behavior analysis report, wherein the analysis data notification request contains at least analysis data indicating the user's mobile mode generated by the NWDAF entity. Based on the user's mobile mode analysis data and cell load information, the NWDAF entity predicts the user's mobile trajectory and the predicted wireless network load corresponding to the user's mobile trajectory, thereby generating an analysis data notification request message containing information such as analysis data indicating the user's mobile mode, predicted user's mobile trajectory, and wireless network load corresponding to the user's mobile trajectory. In response to the analysis data notification request message and based at least on the data in the analysis data notification request message, the PCF entity or the AMF entity determines whether to adjust the user's wireless resource management policy. When it is determined that the user's wireless resource management policy needs to be adjusted, the PCF entity notifies the AMF entity of the new RFSP or the parameters when paging the user, and then the AMF entity notifies the relevant parameters to the RAN to achieve the adjustment. Alternatively, the AMF entity directly notifies the relevant parameters to the RAN to achieve the adjustment.

[0091] The user radio resource management strategy includes at least the RFSP used and the number of paging strategies (including the settings of paging area, paging priority, paging auxiliary data, etc.). The adjustment of the above user radio resource management strategy can achieve timely response to user dynamic change information and / or network congestion information to a certain extent, so as to make full use of radio resources and avoid congestion.

[0092] In actual application, user mobility patterns can be classified into multiple types such as high mobility, medium mobility, low mobility or no mobility according to specific application scenarios or resource management requirements. Different mobility can be classified based on historical statistical data of users, and the mobility of users can be predicted based on the above historical statistical data.

[0093] In actual application, the method may also 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.

[0094] In addition, the NWDAF entity also directly or indirectly obtains the 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. Accordingly, the PCF entity or the AMF entity can determine whether to adjust the user wireless resource management policy in combination with the above-mentioned user access service information or user subscription information.

[0095] An embodiment of the present application further provides a storage medium storing computer executable instructions, where the computer executable instructions are used to execute the above-mentioned wireless resource management method.

[0096] In one embodiment of the present application, the storage medium stores computer executable instructions, and the computer executable instructions are executed by one or more control processors 31, for example, Fig.11 The execution of a processor 31 in the electronic device 30 may enable the one or more processors 31 to execute the above-mentioned cloud computing service method, for example, to execute Figure 1 Steps S101 to S103 of the method described in Figure 2 Steps S201 to S202 of the method described in Figure 4 The method steps S301 to S302 described in Figure 6 Steps S401 to S402 of the method described in Figure 7 The method steps S501 to S502 described in Fig. 9 The method steps S601 to S603 described in Fig.10 Method steps S701 to S703 described in .

[0097] The above described embodiments are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0098] It will be appreciated by those skilled in the art that all or some of the steps and systems in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or transient medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically include 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 may include any information delivery media.

[0099] Embodiments of the present invention are described herein, including preferred embodiments known to the inventor for performing the present invention. After reading the above description, the variations of these described embodiments will become apparent to those skilled in the art. The inventor wishes that the technician adopt such variations as appropriate, and the inventor intends to practice the embodiments of the present invention in a manner different from that specifically described herein. Therefore, as permitted by applicable law, the scope of the present invention includes all modifications and equivalents of the subject matter recited in the claims appended hereto. In addition, the scope of the present invention encompasses any combination of the above-mentioned elements in all possible variations thereof, unless otherwise indicated herein or otherwise clearly contradicted by context.

Claims

1. A radio resource management method, applied to an access and mobility management function AMF entity side or a policy control function PCF entity side, characterized in that: include: Sending a subscription analysis data request to a network data analysis function NWDAF entity, wherein the subscription analysis data carries target user information, so that the NWDAF entity generates user analysis data corresponding to the target user in response to the subscription analysis data request; Receiving user analysis data sent by the NWDAF entity, and determining a wireless resource management policy for the target user according to the user analysis data; The wireless resource management strategy includes a frequency selection priority index RFSP.

2. The wireless resource management method according to claim 1, characterized in that: The request for subscribing to analytical data also carries the subscribed data type.

3. The wireless resource management method according to claim 2, characterized in that: The user analysis data includes at least one of the following: Mobile behavior patterns; Predict movement trajectories; Cell load information corresponding to the predicted movement trajectory; Predict access business information.

4. The wireless resource management method according to claim 1, characterized in that: Also includes: The PCF entity sends the user radio resource management policy to the AMF entity, so that the AMF entity sends the user radio resource management policy to the radio access network RAN; or The AMF entity delivers the determined user radio resource management policy to the radio access network RAN.

5. The wireless resource management method according to claim 1, characterized in that: The wireless resource management strategy also includes a paging strategy.

6. A wireless resource management method, applied to a network data analysis function NWDAF entity side, characterized in that: include: 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; In response to the subscription analysis data request, generating user analysis data corresponding to the target user; 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 policy based on the user analysis data; The user wireless resource management strategy includes a frequency selection priority index RFSP.

7. The wireless resource management method according to claim 6, characterized in that: The request for subscribing to analytical data also carries the subscribed data type.

8. The wireless resource management method according to claim 6, characterized in that: The generating of user analysis data corresponding to the target user in response to the subscription analysis data request includes at least one of the following: Acquire the movement trajectory data of the target user from the AMF entity and / or the radio access network RAN, and generate a movement behavior pattern of the target user according to the movement trajectory data; Obtain the movement trajectory data of the target user from the AMF entity and / or the RAN, and predict the movement trajectory based on the movement trajectory data.

9. The wireless resource management method according to claim 6, characterized in that: The step of generating user analysis data corresponding to the target user in response to the subscription analysis data request includes: Acquire movement trajectory data from the AMF entity and / or the radio access network RAN, and generate a predicted movement trajectory of the target user according to the movement trajectory data; The cell load data is obtained from the RAN, and cell load information corresponding to the predicted moving trajectory is generated according to the predicted moving trajectory and the cell load data.

10. The wireless resource management method according to claim 6, characterized in that: The generating of user analysis data corresponding to the target user in response to the subscription analysis data request includes: The access service data of the target user is obtained 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 access service prediction information is generated based on the access service data.

11. The wireless resource management method according to claim 8, characterized in that: The user radio resource management strategy also includes paging user parameters.

12. A storage medium comprising a stored program, wherein: When the program is executed, the wireless resource management method according to any one of claims 1 to 11 is executed.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the wireless resource management method described in any one of claims 1 to 11 through the computer program.

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