Communication Control Method, Network Element, and Storage Medium

Abstract

The present invention discloses a communication control method, a network element, and a storage medium. Among them, the communication control method obtains the current usage status data of a user equipment, predicts the access information of the user equipment according to the usage status data, generates reference data by using the access information, and sends the reference data to a second network element, so that the second network element adjusts the operator-defined access category corresponding to the user equipment according to the reference data. By obtaining the current usage status data of the user equipment and predicting the access information of the user equipment based on the usage status data to generate reference data, the second network element can timely adjust the operator-defined access category corresponding to the user equipment according to the reference data, realizing dynamic adjustment of the operator-defined access category, which is beneficial to improving the service experience of users and optimizing the utilization of network resources.

Description

Technical Field

[0001] The present invention relates to the field of communication technologies, and in particular, to a communication control method, a network element, and a storage medium. Background Art

[0002] In the fifth-generation mobile communication (5th generation mobile networks, 5G) technology, an operator can customize the access classification of an application, that is, the operator defines an access category (Operator-defined Access Category, ODAC), that is, different applications correspond to different access classifications. Among them, different access classifications are defined with different access rights, networks, traffic, billing, etc. Thus, each application can be controlled to access the mobile communication network according to the corresponding access classification, and unified access control (Unified Access Control, UAC) of the application can be realized.

[0003] Currently, the network side can statically configure the corresponding relationship between an application and an access classification based on information such as the data network name (Data Network Name, DNN) of the service, the single network slice selection assistance information (Single Network Slice Selection Assistance Information, S-NSSAI), and the application identifier, so as to ensure the user's service experience. However, since the above parameters are static, they cannot be adjusted in a timely manner according to the actual situation of the user, which is not conducive to improving the user's service experience. Summary of the Invention

[0004] The following is an overview of the subject matter described in detail herein. This overview is not intended to limit the scope of protection of the claims.

[0005] Embodiments of the present invention provide a communication control method, a network element, and a storage medium, which can improve the user's service experience.

[0006] In a first aspect, an embodiment of the present invention provides a communication control method, including:

[0007] Obtain the current usage status data of the user equipment;

[0008] Predict the access information of the user equipment according to the usage status data, and generate reference data by using the access information;

[0009] Send the reference data to a second network element, so that the second network element adjusts the operator-defined access category corresponding to the user equipment according to the reference data.

[0010] In a second aspect, an embodiment of the present invention further provides a communication control method, including:

[0011] Receive reference data from a first network element, where the reference data is generated by the first network element according to access information of a user equipment, and the access information is predicted by the first network element according to current usage status data of the user equipment;

[0012] Adjust the operator-defined access category corresponding to the user equipment according to the reference data.

[0013] In a third aspect, an embodiment of the present invention further provides a network element:

[0014] Including at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the communication control method as described in the first aspect or the second aspect.

[0015] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, and the computer-readable storage medium stores computer-executable instructions for causing a computer to execute the communication control method as described in the first aspect or the second aspect.

[0016] The embodiments of the present invention include: obtaining current usage status data of a user equipment, predicting access information of the user equipment according to the usage status data, generating reference data by using the access information, and sending the reference data to a second network element so that the second network element adjusts the operator-defined access category corresponding to the user equipment according to the reference data. By obtaining the current usage status data of the user equipment and predicting the access information of the user equipment according to the usage status data to further generate reference data, the second network element can timely adjust the operator-defined access category corresponding to the user equipment according to the reference data, realize dynamic adjustment of the operator-defined access category, is beneficial to improving the service experience of users, and optimizing the utilization of network resources.

[0017] Other features and advantages of the present invention will be described in the subsequent specification, and part of them will become obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in the specification, claims and drawings. Description of the Drawings

[0018] The drawings are used to provide further understanding of the technical solutions of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation to the technical solutions of the present invention.

[0019] Figure 1It is a schematic diagram of an exemplary network architecture provided by an embodiment of the present invention;

[0020] Figure 2 It is a flowchart of a communication control method on the first network element side provided by an embodiment of the present invention;

[0021] Figure 3 It is a specific step flowchart for predicting the access location of a user equipment based on mobile behavior data provided by an embodiment of the present invention;

[0022] Figure 4 It is a specific step flowchart for predicting the access habit of a user equipment based on service session data provided by an embodiment of the present invention;

[0023] Figure 5 It is a flowchart of a communication control method on the second network element side provided by an embodiment of the present invention;

[0024] Figure 6 It is a specific step flowchart for adjusting the operator-defined access category corresponding to a user equipment according to reference data provided by an embodiment of the present invention;

[0025] Figure 7 It is a flowchart of an example in which the PCF dynamically adjusts the operator-defined access category based on the reference data provided by the NWDAF provided by an embodiment of the present invention;

[0026] Figure 8 It is a flowchart of an example in which the AMF dynamically adjusts the operator-defined access category based on the reference data provided by the NWDAF provided by an embodiment of the present invention;

[0027] Figure 9 It is a flowchart of an example in which the RAN dynamically adjusts the operator-defined access category based on the reference data provided by the NWDAF provided by an embodiment of the present invention;

[0028] Figure 10 It is a flowchart of another example in which the AMF dynamically adjusts the operator-defined access category based on the reference data provided by the NWDAF provided by an embodiment of the present invention;

[0029] Figure 11 It is a schematic diagram of the structure of a network element provided by an embodiment of the present invention. Detailed implementation manners

[0030] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to 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.

[0031] It should be understood that in the description of the embodiments of the present invention, the meaning of "a plurality of (or multiple)" is more than two. Understandings such as "greater than", "less than", "exceeding", etc. do not include the recited number, and understandings such as "above", "below", "within", etc. include the recited number. If there is a description of "first", "second", etc., it is only for the purpose of distinguishing technical features and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features.

[0032] Referring to Figure 1 , which is a schematic diagram of an exemplary network architecture provided by an embodiment of the present invention. Among them, the functions of some network elements in this architecture are as follows:

[0033] User Equipment (UE), mainly accesses the 5G network through the wireless air interface and obtains services. The user equipment interacts with the base station through the air interface and interacts with the Access and Mobility Management function (AMF) of the core network through Non-Access Stratum (NAS) signaling.

[0034] Radio Access Network (RAN), mainly responsible for the air interface resource scheduling of terminal access to the network and the connection management of the air interface.

[0035] Access and Mobility Management function (AMF), mainly responsible for user mobility management, including registration and temporary identifier allocation, maintaining the idle (IDLE) and connected (CONNECT) states and state transitions, handover in the CONNECT state, paging triggered in the user IDLE state, and other functions.

[0036] Policy Control Function (PCF), mainly responsible for access and mobility management policies, UE policies, session management policies, and charging rules, and generating access and mobility management policies, UE routing selection policies, Quality of Service (QoS) rules for user data transfer, and charging rules, etc. according to service information, user subscription information, and operator configuration information.

[0037] The Session Management Function (SMF) is mainly responsible for maintaining the PDU Session, allocating user IP addresses, and has functions such as Quality of Service (QoS) control, charging, caching downlink data packets received when the user is in the IDLE state, and notifying the AMF to page the user.

[0038] The Network Data Analytics Function (NWDAF) is mainly responsible for obtaining user and network information from other network elements, processing the obtained information to generate analysis data, and providing the analysis data to the network elements that subscribe to the analysis data. Exemplarily, the user information includes dynamic information such as user mobility information and service information accessed by the user, as well as static information such as subscription information. The network information includes dynamic information such as the load of network functions and static information such as network deployment.

[0039] The Application Function (AF) provides service or user-related information to the NWDAF directly or through the Network Exposure Function (NEF), and can also subscribe to service or user-related information from the NWDAF.

[0040] Based on Figure 1 the network architecture shown, the NWDAF receives data from the AMF, SMF, AF, or RAN, performs relevant analysis, and then sends it to the PCF, AMF, or RAN. On this basis, referring to Figure 2 , an embodiment of the present invention provides a communication control method applied to a first network element, where the first network element may be the NWDAF, and the method includes but is not limited to the following steps 201 to step 203:

[0041] Step 201: Obtain the current usage status data of the user equipment;

[0042] Among them, in step 201, the current usage status data of the user equipment may be one or more of mobility behavior data, service session data, service experience data, and network congestion data. Among them, the mobility behavior data can be obtained from the AMF, the service session data can be obtained from the SMF, the service experience data can be obtained from the AF, and the network congestion data can be obtained from the RAN.

[0043] Step 202: Predict the access information of the user equipment according to the usage status data, and generate reference data using the access information;

[0044] Among them, in step 202, the access information of the user equipment may be one or more of the access location, access habit, access experience, and congestion status of the cell to which the user equipment is connected.

[0045] Step 203: Send the reference data to the second network element so that the second network element adjusts the operator-defined access category corresponding to the user equipment according to the reference data.

[0046] Among them, in step 203, the second network element may be a PCF, an AMF, or a RAN.

[0047] The above steps 201 to 203 obtain the current usage status data of the user equipment, and predict the access information of the user equipment based on the usage status data, and then generate reference data, so that the second network element can adjust the operator-defined access category corresponding to the user equipment in a timely manner according to the reference data, realizing the dynamic adjustment of the operator-defined access category, which is beneficial to improving the user's service experience and optimizing the utilization of network resources.

[0048] In one embodiment, the above usage status data is mobile behavior data, and correspondingly, the above access information may be the access location. Based on this, in step 202, predicting the access information of the user equipment according to the usage status data may specifically be predicting the access location of the user equipment according to the mobile behavior data. By using the mobile behavior data to predict the access location of the user equipment, it is convenient to adjust the operator-defined access category corresponding to the user equipment according to the access location of the user equipment subsequently, and it is convenient for the operator to specify different access controls for different regions.

[0049] In one embodiment, the above mobile behavior data may include the historical access area. Referring to Figure 3 , predicting the access location of the user equipment according to the mobile behavior data may specifically include the following steps 301 to 302:

[0050] Step 301: Obtain the movement trajectory of the user equipment according to the historical access area;

[0051] Among them, in the above step 301, according to the change situation of the historical access area, the movement trajectory of the user equipment can be obtained. For example, the historical access areas of the user equipment may be area A, area B, area C, and area D. Connecting the center points of the above areas A, B, C, and D can obtain the movement trajectory of the user equipment. It can be understood that the division dimension of the historical access area of the user equipment can be freely adjusted according to the actual situation. For example, it can be divided according to dimensions such as cells, streets, towns, or cities. The embodiments of the present invention do not make any limitations.

[0052] Step 302: Predict the access location of the user equipment according to the movement trajectory.

[0053] Among them, in the above step 302, since the movement trajectory of the user equipment is obtained, the approximate movement direction of the user equipment can be obtained, and thus the access location of the user equipment can be predicted. For example, based on the movement trajectory obtained from regions A, B, C, and D in the above example, it can be predicted that the access location of the user equipment will be region E, where region E is an adjacent region of region D.

[0054] In one embodiment, the movement behavior data may also include the movement speed. At this time, the access scenario of the user equipment can be predicted according to the movement speed of the user equipment. For example, if the movement speed of the user equipment fluctuates around 200 km / h, it can be predicted that the user equipment is on a light rail.

[0055] In one embodiment, the movement behavior data may also include the residence duration in the access region, the access frequency of the access region, etc. At this time, the corresponding parameter information of the user equipment can be predicted according to the corresponding movement behavior data.

[0056] It can be understood that the above movement behavior data has various types of data. In practical applications, one or a combination of multiple types can be used for prediction. For example, the access information of the user equipment can be predicted by combining the movement trajectory and movement speed of the user equipment. At this time, the predicted is the combination of the access scenario and access location of the user equipment.

[0057] In one embodiment, the above movement behavior data may also include service session data. Correspondingly, the above access information may be access habits. Based on this, in the above step 202, predicting the access information of the user equipment according to the usage status data may specifically be predicting the access habits of the user equipment according to the service session data. By using the service session data to predict the access habits of the user equipment, it is convenient to subsequently adjust the operator-defined access category corresponding to the user equipment according to the access habits of the user equipment, which is convenient for the operator to specify different access controls for different user groups.

[0058] In one embodiment, the above service session data may include the service access duration and the service access traffic. Referring to Figure 4 , the above predicting the access habits of the user equipment according to the service session data may specifically include the following steps 401 to 402:

[0059] Step 401: Obtain the service type of the service accessed by the user equipment according to the service access duration and the service access traffic;

[0060] Among them, in step 401, according to the service access duration and the magnitude of the service access traffic, the service type of the service accessed by the user equipment can be obtained. For example, if the service access duration is very long and the service access traffic is very small, it can be considered that the service currently accessed by the user equipment is a game service; if the service access duration is very long and the service access traffic is very large, it can be considered that the service currently accessed by the user equipment is a video service.

[0061] Step 402: Predict the access habit of the user equipment according to the service type.

[0062] Among them, in the above step 402, since the service type of the service accessed by the user equipment is obtained, the access habit corresponding to the user equipment is predicted, that is, whether the user equipment is used to watch videos, play games or perform other operations.

[0063] It can be understood that obtaining the service type through the service access duration and the service access traffic is for unknown services. In one embodiment, the above service session data may also directly include the service type of the service accessed by the user equipment, and then directly predict the access habit of the user equipment through the service type.

[0064] In one embodiment, the above service session data may also include the duration of existence or the establishment frequency of PDU Session (Protocol Data Unit Session) and Qos Flow (Quality of Service Flow), etc.

[0065] In one embodiment, the above mobile behavior data may also include service experience data. Correspondingly, the above access information may be access experience. Based on this, in the above step 202, predicting the access information of the user equipment according to the usage status data may specifically be predicting the access experience of the user equipment in the case of accessing different services according to the service experience data. By using the service experience data to predict the access experience of the user equipment in the case of accessing different services, it is convenient to subsequently adjust the operator-defined access category corresponding to the user equipment through the access experience of the user equipment, and it is convenient for the operator to specify different access controls for different service experiences. For example, if the access experience of the user equipment in the game service is poor and the access experience in the video service is good, then the access control of the user equipment needs to be adjusted accordingly to improve the access experience of the user equipment in the game service. Among them, the above service experience data may include the MOS (Mean Opinion Score) of the service accessed by the user equipment.

[0066] In one embodiment, in the above step 202, predicting the access information of the user equipment according to the usage status data may specifically be predicting the access experience of another user equipment according to the service experience data. For example, if the access experience of a user equipment in a game service is poor, it can be predicted that the access experience of another user equipment in the corresponding game service will also be poor, and thus corresponding access control needs to be performed on the user equipment. Among them, the above user equipment can be connected to the same base station. It can be understood that, in order to improve the accuracy of prediction, it can be considered that the access experience of another user equipment in the corresponding game service will also be poor only when it is predicted that the access experiences of multiple user equipment in the game service are poor.

[0067] In one embodiment, the above mobile behavior data may also include network congestion data. Correspondingly, the above access information may be the network congestion status. Based on this, in the above step 202, predicting the access information of the user equipment according to the usage status data may specifically be predicting the network congestion status of the user equipment according to the network congestion data. By using the network congestion data to predict the network congestion status of the user equipment, it is convenient to subsequently adjust the operator-defined access category corresponding to the user equipment according to the network congestion status of the user equipment, and it is convenient for the operator to specify different access controls for different network congestion statuses.

[0068] In one embodiment, the above network congestion data may include the historical congested cell and the congestion period corresponding to the historical congested cell. There are specifically the following two situations for predicting the network congestion status of the user equipment according to the network congestion data:

[0069] One is that when the current access cell of the user equipment belongs to the historical congested cell, predicting the congestion status of the current access cell of the user equipment according to the congestion period. For example, the user equipment has historically accessed cells A, B, C, and D, among which cells A and B have experienced congestion phenomena and belong to the historical congested cells. When the current access cell of the user equipment is cell A or cell B, the congestion period of the user equipment can be predicted according to the congestion period when cell A or cell B was historically congested. For example, when cell A was historically congested from 6 pm to 8 pm, and the current user equipment accesses cell A, it is predicted that the user equipment will be congested from 6 pm to 8 pm on the same day, which is convenient for subsequent access control.

[0070] The other is that when the current access cell of the user equipment does not belong to the historical congested cell, predicting that the congestion status of the current access cell of the user equipment is normal. For example, if the cell E currently accessed by the user equipment has never experienced congestion, it can be predicted that the user equipment will not experience congestion subsequently, which is convenient for subsequent access control.

[0071] In one embodiment, the above network congestion data may also include the load of network functions, such as the traffic volume of the UPF (User Port Function).

[0072] It can be understood that the above usage status data may be one of mobile behavior data, service session data, service experience data, and network congestion data, or a combination of the above several data types. When the usage status data is a combination of multiple data types, the predicted access information can also increase dimensions accordingly, thereby improving the prediction accuracy.

[0073] It can be understood that if the time span for obtaining the current usage status data of the user equipment is relatively large, and the sample size of the usage status data is relatively large at this time, algorithms such as big data, neural networks, and decision trees can also be used to predict the access information.

[0074] In one embodiment, the reference data may only include access information, that is, after the NWDAF predicts the access information of the user equipment, it directly sends the access information to the second network element for the second network element to adjust the operator-defined access category corresponding to the user equipment; in other embodiments, the reference data may also include access information and the historical operator-defined access category corresponding to the access information. Taking the access location as an example of the access information, after the NWDAF predicts the access location of the user equipment, it uses methods such as big data to obtain the historical operator-defined access category corresponding to this access location. There may be multiple historical operator-defined access categories corresponding to this access location. For example, they may be Ocda1, Ocda2, and Ocda3. Among them, the number of user equipments using Ocda1 is the largest, so Ocda1 is used as the historical operator-defined access category corresponding to this access location. The historical operator-defined access category can be used as a reference for the second network element to adjust the operator-defined access category corresponding to the user equipment, that is, the operator-defined access category corresponding to the user equipment can be adjusted by combining the historical operator-defined access category with the operator's preset policy to improve the rationality of the adjustment.

[0075] In addition, referring to Figure 5 , the embodiment of the present invention also provides a communication control method applied to a second network element. The second network element may be one of a PCF, an AMF, and a RAN. The method includes but is not limited to the following steps 501 to step 502:

[0076] Step 501: Receive reference data from a first network element;

[0077] Among them, in step 501, the reference data is generated by the first network element according to the access information of the user equipment, and the access information is predicted by the first network element according to the current usage status data of the user equipment;

[0078] Step 502: Adjust the operator-defined access category corresponding to the user equipment according to the reference data.

[0079] In the above steps 501 to 502, by receiving the reference data generated by the first network element according to the access information of the user equipment and adjusting the operator-defined access category corresponding to the user equipment according to the reference data, the dynamic adjustment of the operator-defined access category is realized, which is beneficial to improving the user's service experience and optimizing the utilization of network resources.

[0080] In one embodiment, referring to Figure 6 , in the above step 502, adjusting the operator-defined access category corresponding to the user equipment according to the reference data may specifically include the following steps 601 to 602:

[0081] Step 601: Obtain the preset associated data;

[0082] Among them, in step 601, the associated data contains the association relationship between the access information and the operator-defined access category. The associated data can be set by the operator according to the actual situation. For example, the associated data can be stored in the form of an association table, such as the operator-defined access category corresponding to different regions, the operator-defined access category corresponding to different user groups, the operator-defined access category corresponding to different service experiences, the operator-defined access category corresponding to different network congestion states, and so on.

[0083] Step 602: Adjust the operator-defined access category corresponding to the user equipment according to the reference data and the associated data.

[0084] Among them, in step 602, substituting the access information in the reference data into the associated data can obtain the corresponding operator-defined access category, so as to determine whether it is necessary to adjust the current operator-defined access category. If adjustment is required, a corresponding new operator-defined access category is generated.

[0085] In one embodiment, when the second network element is the AMF or the RAN, the adjusted operator-defined access category can also be sent to the user equipment, and the user equipment stores the operator-defined access category. After the operator-defined access category of the user equipment is adjusted multiple times, the historical operator-defined access category of the user equipment can be obtained, which is convenient for the NWDAF to generate reference data based on the historical operator-defined access category of the user equipment.

[0086] In one embodiment, when the second network element is the AMF, the adjusted operator-defined access category can also be sent to the RAN, which is convenient for the RAN to adjust the corresponding access permissions, network, traffic, billing and other parameters according to the adjusted operator-defined access category.

[0087] It can be understood that in addition to being preset on the second network element, the associated data can also be sent from the first network element to the second network element.

[0088] The following uses several actual examples to illustrate the communication control method of the embodiments of the present invention.

[0089] Example 1

[0090] Refer to Figure 7 , which is a process in which the PCF dynamically adjusts the operator-defined access category based on the reference data provided by the NWDAF, including the following steps 701 to step 708:

[0091] Step 701: The PCF sends a request message for subscribing to reference data to the NWDAF. The message carries the data types to be subscribed, and also carries one or more of the target user equipment, target network function, and target cell;

[0092] Step 702: The NWDAF returns a response message for subscribing to reference data;

[0093] Step 703: The NWDAF directly or indirectly obtains one or more of mobile behavior data, service session data, service experience data, and network congestion data;

[0094] Step 704: The NWDAF performs data analysis and prediction based on one or more of the obtained mobile behavior data, service session data, service experience data, and network congestion data to obtain the predicted access information of the user equipment;

[0095] Step 705: The NWDAF sends a reference data notification message to the PCF. The message carries the predicted access information of the user equipment;

[0096] Step 706: The PCF sends a response message indicating that the reference data has been received to the NWDAF;

[0097] Step 707: The PCF determines whether it is necessary to adjust the operator-defined access category of the user equipment according to the predicted access information of the user equipment and the operator-defined access category associated data preset locally. If it is necessary to adjust the operator-defined access category of the user equipment, a new operator-defined access category is generated;

[0098] Step 708: The PCF sends the new operator-defined access category to the AMF.

[0099] Among them, in step 701, the data types to be subscribed are, for example, one or more of mobile behavior data, service session data, service experience data, and network congestion data.

[0100] In this example, taking the case where NWDAF performs data analysis and prediction based on service session data as an illustration, NWDAF predicts that the access habit of the user equipment is a video service. The reference data notification message is sent to the PCF. After receiving the reference data notification message, the PCF queries the operator-defined access category association data stored locally, confirms that the operator-defined access category corresponding to the video service is Odac2, and discovers that the current operator-defined access category of the user equipment is Odac1. Then, a new operator-defined access category Odac2 is generated and sent to the AMF. The AMF can send the new operator-defined access category to the user equipment.

[0101] Example 2

[0102] Refer to Figure 8 , which is a process for the AMF to dynamically adjust the operator-defined access category based on the reference data provided by the NWDAF, including the following steps 801 to 808:

[0103] Step 801: The AMF sends a request message for subscribing to reference data to the NWDAF. The message carries the data types to be subscribed, and also carries one or more of the target user equipment, target network function, and target cell.

[0104] Step 802: The NWDAF returns a response message for subscribing to reference data.

[0105] Step 803: The NWDAF directly or indirectly obtains one or more of mobile behavior data, service session data, service experience data, and network congestion data.

[0106] Step 804: The NWDAF performs data analysis and prediction based on one or more of the obtained mobile behavior data, service session data, service experience data, and network congestion data to obtain the predicted access information of the user equipment.

[0107] Step 805: The NWDAF sends a reference data notification message to the AMF. The message carries the predicted access information of the user equipment.

[0108] Step 806: The AMF sends a response message indicating that the reference data has been received to the NWDAF.

[0109] Step 807: The AMF, based on the predicted access information of the user equipment and in combination with the operator-defined access category association data preset locally, confirms whether it is necessary to adjust the operator-defined access category of the user equipment. If it is necessary to adjust the operator-defined access category of the user equipment, a new operator-defined access category is generated.

[0110] Step 808: The AMF sends the new operator-defined access category to the user equipment.

[0111] In this example, the difference from Example 1 is that the AMF directly receives the reference data from the NWDAF. If a new operator-defined access category needs to be generated, the operator-defined access category is sent to the user equipment.

[0112] Example 3

[0113] Refer to Figure 9 , for the process in which the RAN dynamically adjusts the operator-defined access category based on the reference data provided by the NWDAF, including the following steps 901 to 909:

[0114] Step 901: The RAN sends a request message for subscribing to reference data to the NWDAF. The message carries the data types to be subscribed, and also carries one or more of the target user equipment, target network function, and target cell;

[0115] Step 902: The NWDAF returns a response message for subscribing to reference data;

[0116] Step 903: The NWDAF directly or indirectly obtains one or more of mobile behavior data, service session data, service experience data, and network congestion data;

[0117] Step 904: The NWDAF performs data analysis and prediction based on one or more of the obtained mobile behavior data, service session data, service experience data, and network congestion data to obtain the predicted access information of the user equipment;

[0118] Step 905: The NWDAF sends a reference data notification message to the RAN. The message carries the predicted access information of the user equipment;

[0119] Step 906: The RAN sends a response message indicating that the reference data has been received to the NWDAF;

[0120] Step 907: The RAN determines whether to adjust the operator-defined access category of the user equipment according to the predicted access information of the user equipment, in combination with the locally preset operator-defined access category association data. If it is necessary to adjust the operator-defined access category of the user equipment, a new operator-defined access category is generated;

[0121] Step 908: The RAN sends the new operator-defined access category to the user equipment;

[0122] Step 909: The RAN adjusts the corresponding access rights, network, traffic, billing and other parameters according to the new operator-defined access category.

[0123] In this example, the difference from Example 1 is that the RAN directly receives the reference data from the NWDAF. At the same time, as the executing side, the RAN adjusts the corresponding access rights, network, traffic, billing and other parameters according to the new operator-defined access categories.

[0124] Example 4

[0125] Refer to Figure 10 , for the process of the AMF dynamically adjusting the operator-defined access categories based on the reference data provided by the NWDAF, including the following steps 1001 to 1010:

[0126] Step 1001: The AMF sends a request message for subscribing to reference data to the NWDAF. The message carries the data types to be subscribed, and also carries one or more of the target user equipment, target network function, and target cell;

[0127] Step 1002: The NWDAF returns a response message for subscribing to reference data;

[0128] Step 1003: The NWDAF directly or indirectly obtains one or more of the mobility behavior data, service session data, service experience data, and network congestion data;

[0129] Step 1004: The NWDAF performs data analysis and prediction based on one or more of the obtained mobility behavior data, service session data, service experience data, and network congestion data to obtain the predicted access information of the user equipment;

[0130] Step 1005: The NWDAF sends a reference data notification message to the AMF. The message carries the predicted access information of the user equipment;

[0131] Step 1006: The AMF sends a response message indicating that the reference data has been received to the NWDAF;

[0132] Step 1007: The AMF determines whether it is necessary to adjust the operator-defined access category of the user equipment according to the predicted access information of the user equipment and the operator-defined access category association data preset locally. If it is necessary to adjust the operator-defined access category of the user equipment, a new operator-defined access category is generated;

[0133] Step 1008: The AMF sends a request message for the new operator-defined access category to the RAN;

[0134] Step 1009: The RAN sends a response message indicating that the new operator-defined access category has been received to the AMF;

[0135] Step 1010: The RAN adjusts the corresponding access rights, network, traffic, billing and other parameters according to the new operator-defined access category.

[0136] In this example, the difference from Example 3 is that the RAN side does not have the ability to generate a new operator-defined access category.

[0137] It should also be understood that the various embodiments provided by the embodiments of the present invention can be combined arbitrarily to achieve different technical effects.

[0138] Figure 11 The network element 1100 provided by the embodiment of the present invention is shown. The network element 1100 includes: a memory 1101, a processor 1102, and a computer program stored on the memory 1101 and executable on the processor 1102. When the computer program runs, it is used to execute the above communication control method.

[0139] The processor 1102 and the memory 1101 can be connected through a bus or other means.

[0140] As a non-transitory computer-readable storage medium, the memory 1101 can be used to store non-transitory software programs and non-transitory computer-executable programs, such as the communication control method described in the embodiment of the present invention. The processor 1102 realizes the above communication control method by running the non-transitory software programs and instructions stored in the memory 1101.

[0141] The memory 1101 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store the execution of the above communication control method. In addition, the memory 1101 may include a high-speed random access memory 1101, and may also include a non-transitory memory 1101, such as at least one disk memory 1101 device, a flash memory device, or other non-transitory solid-state memory 1101 devices. In some embodiments, the memory 1101 may optionally include a memory 1101 remotely set relative to the processor 1102, and these remote memories 1101 can be connected to the network element 1100 through a network. Examples of the above network include but are not limited to the Internet, an enterprise internal network, a local area network, a mobile communication network, and their combinations.

[0142] The non-transitory software programs and instructions required to implement the above communication control method are stored in the memory 1101. When executed by one or more processors 1102, the above communication control method is executed. For example, if the network element is NWDAF, the method steps 201 to 203 in Figure 2 can be executed; the method steps 301 to 302 in Figure 3 can be executed; the method steps 401 to 402 in Figure 4 can be executed; if the network element is PCF, AMF, or RAN, the method steps 501 to 502 in Figure 5 can be executed;Figure 6 Method steps 601 to 602 in

[0143] An embodiment of the present invention also provides a computer-readable storage medium storing computer-executable instructions for executing the above communication control method.

[0144] In one embodiment, the computer-readable storage medium stores computer-executable instructions that are executed by one or more control processors, for example, executed by a processor 1102 in the above network element 1100, enabling the processor 1102 to execute the above communication control method. For example, if the network element is NWDAF, it can execute Figure 2 Method steps 201 to 203 in Figure 3 Method steps 301 to 302 in Figure 4 Method steps 401 to 402 in Figure 5 Method steps 501 to 502 in Figure 6 Method steps 601 to 602 in

[0145] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0146] Those of ordinary skill in the art will appreciate that all or some of the steps and systems disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all of the physical components can 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 can be distributed on a computer-readable medium, which can include a computer storage medium (or non-transitory medium) and a communication medium (or transitory medium). As is well known to those of ordinary skill 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 includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVDs) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, communication media typically includes computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and can include any information delivery media.

[0147] The above is a specific description of the preferred embodiments of the present invention, but the present invention is not limited to the above embodiments. Those skilled in the art can also make various equivalent deformations or substitutions without departing from the spirit of the present invention, and these equivalent deformations or substitutions are all included within the scope defined by the claims of the present invention.

Claims

1. A communication control method is applied to a first network element, where the first network element is a Network Data Analytics Function (NWDAF). The communication control method includes: Receiving a request message for subscribing to reference data sent by a second network element, where the request message carries the data type to be subscribed; Obtaining the current usage status data of the user equipment according to the data type, where the usage status data includes one or more of mobile behavior data, service session data, service experience data, and network congestion data; Predicting the access information of the user equipment according to the usage status data, and generating reference data by using the access information; Sending the reference data to the second network element, so that the second network element adjusts the operator-defined access category corresponding to the user equipment according to the reference data. When the second network element is a Policy Control Function (PCF), sending the adjusted operator-defined access category to the user equipment through an Access and Mobility Management Function (AMF). Or when the second network element is a Radio Access Network (RAN), sending the adjusted operator-defined access category to the user equipment. Or when the second network element is the AMF, sending the adjusted operator-defined access category to the user equipment or the RAN.

2. The communication control method according to claim 1, wherein The usage status data includes mobile behavior data. The predicting the access information of the user equipment according to the usage status data includes: Predicting the access location of the user equipment according to the mobile behavior data.

3. The communication control method according to claim 2, wherein The mobile behavior data includes historical access areas. The predicting the access location of the user equipment according to the mobile behavior data includes: Obtaining the movement trajectory of the user equipment according to the historical access areas; Predicting the access location of the user equipment according to the movement trajectory.

4. The communication control method according to claim 1, wherein The usage status data includes service session data. The predicting the access information of the user equipment according to the usage status data includes: Predicting the access habit of the user equipment according to the service session data.

5. The communication control method according to claim 4, wherein The service session data includes service access duration and service access traffic. The predicting the access habit of the user equipment according to the service session data includes: Obtaining the service type of the service accessed by the user equipment according to the service access duration and the service access traffic; Predicting the access habit of the user equipment according to the service type.

6. The communication control method according to claim 1, characterized in that, The usage status data includes service experience data. The predicting the access information of the user equipment according to the usage status data includes: Predicting the access experience of the user equipment in the case of accessing different services according to the service experience data.

7. The communication control method according to claim 1, wherein The usage status data includes network congestion data. The predicting the access information of the user equipment according to the usage status data includes: Predicting the network congestion status of the user equipment according to the network congestion data.

8. The communication control method according to claim 7, wherein The network congestion data includes historical congested cells and the congestion periods corresponding to the historical congested cells. The predicting the network congestion status of the user equipment according to the network congestion data includes at least one of the following: When the current access cell of the user equipment belongs to the historical congested cell, predict the congestion status of the current access cell of the user equipment according to the congestion period; When the current access cell of the user equipment does not belong to the historical congested cell, predict that the congestion status of the current access cell of the user equipment is normal.

9. The communication control method according to any one of claims 1 to 8, characterized in that, The reference data includes one of the following: The access information; The access information and the historical operator-defined access category corresponding to the access information.

10. A communication control method is applied to a second network element, where the second network element is one of a policy control function PCF, an access and mobility management function AMF, and a radio access network RAN. The communication control method includes: Send a request message for subscribing to reference data to a first network element, where the request message carries the data type to be subscribed, and the first network element is a network data analysis function NWDAF; Receive reference data from the first network element, where the reference data is generated by the first network element according to the access information of the user equipment, and the access information is predicted by the first network element according to the usage status data of the user equipment currently obtained according to the data type, and the usage status data includes one or more of mobile behavior data, service session data, service experience data, and network congestion data; Adjust the operator-defined access category corresponding to the user equipment according to the reference data. When the second network element is the PCF, send the adjusted operator-defined access category to the user equipment through the AMF, or when the second network element is the RAN, send the adjusted operator-defined access category to the user equipment, or when the second network element is the AMF, send the adjusted operator-defined access category to the user equipment or the RAN.

11. The communication control method according to claim 10, characterized in that, The adjusting the operator-defined access category corresponding to the user equipment according to the reference data includes: Obtain preset association data, where the association data contains the association relationship between the access information and the operator-defined access category; Adjust the operator-defined access category corresponding to the user equipment according to the reference data and the association data.

12. The communication control method according to claim 10, wherein The method further includes: Send the adjusted operator-defined access category to the user equipment or the radio access network RAN.

13. A network element, characterized in that: It includes at least one processor and a memory for communicatively connecting with the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the communication control method according to any one of claims 1 to 12.

14. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to execute the communication control method according to any one of claims 1 to 12.

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