WO2022037341A1 - 通信控制方法、网元及存储介质 - Google Patents

通信控制方法、网元及存储介质 Download PDF

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Publication number
WO2022037341A1
WO2022037341A1 PCT/CN2021/106547 CN2021106547W WO2022037341A1 WO 2022037341 A1 WO2022037341 A1 WO 2022037341A1 CN 2021106547 W CN2021106547 W CN 2021106547W WO 2022037341 A1 WO2022037341 A1 WO 2022037341A1
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Prior art keywords
user equipment
access
data
communication control
control method
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PCT/CN2021/106547
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English (en)
French (fr)
Inventor
叶敏雅
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中兴通讯股份有限公司
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Publication of WO2022037341A1 publication Critical patent/WO2022037341A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/16—Discovering, processing access restriction or access information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/02—Access restriction performed under specific conditions
    • H04W48/06—Access restriction performed under specific conditions based on traffic conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/08—Access restriction or access information delivery, e.g. discovery data delivery

Definitions

  • the present application relates to the field of communication technologies, and in particular, to a communication control method, a network element and a storage medium.
  • ODAC Operator-defined Access Category
  • UAC unified access control
  • the network side can statically configure the application and access classification based on the data network name (Data Network Name, DNN) of the service, single network slice selection assistance information (Single Network Slice Selection Assistance Information, S-NSSAI), application identifier and other information. Correspondence to ensure the user's business experience. However, because the above parameters are static, they cannot be adjusted in time according to the actual situation of the user, which is not conducive to improving the service experience of the user.
  • DNN Data Network Name
  • S-NSSAI Single Network Slice Selection Assistance Information
  • Embodiments of the present application provide a communication control method, a network element, and a storage medium.
  • an embodiment of the present application provides a communication control method, including: acquiring current usage status data of a user equipment; predicting access information of the user equipment according to the usage status data, and using the access information to generate reference data; 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.
  • an embodiment of the present application further provides a communication control method, including: receiving reference data from a first network element, where the reference data is generated by the first network element according to access information of user equipment , the access information is predicted and obtained by the first network element according to the current usage state data of the user equipment; the operator-defined access category corresponding to the user equipment is adjusted according to the reference data.
  • an embodiment of the present application further provides a network element: comprising at least one processor and a memory for being communicatively connected to the at least one processor; the memory stores a network element capable of being executed by the at least one processor 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 the first aspect or the second aspect.
  • embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to cause a computer to execute the first aspect or the second aspect The communication control method described in the aspect.
  • FIG. 1 is a schematic diagram of an exemplary network architecture provided by an embodiment of the present application
  • FIG. 2 is a flowchart of a communication control method on a first network element side provided by an embodiment of the present application
  • FIG. 3 is a flowchart of a specific step for predicting an access location of a user equipment according to mobile behavior data provided by an embodiment of the present application
  • FIG. 4 is a flowchart of specific steps for predicting the access habit of user equipment according to service session data provided by an embodiment of the present application
  • FIG. 5 is a flowchart of a communication control method on the second network element side provided by an embodiment of the present application
  • FIG. 6 is a flowchart of specific steps for adjusting an operator-defined access category corresponding to a user equipment according to reference data provided by an embodiment of the present application;
  • FIG. 7 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 the embodiment of the present application;
  • FIG. 8 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 the embodiment of the present application;
  • FIG. 9 is a flowchart of an example 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 the embodiment of the present application;
  • FIG. 10 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 the embodiment of the present application;
  • FIG. 11 is a schematic structural diagram of a network element provided by an embodiment of the present application.
  • multiple means more than two, greater than, less than, exceeding, etc. are understood as not including this number, above, below, within, etc. are understood as including this 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 number of indicated technical features or implicitly indicating the indicated The sequence of technical characteristics.
  • FIG. 1 it is a schematic diagram of an exemplary network architecture provided by an embodiment of the present application. Among them, the functions of some network elements in this architecture are as follows:
  • UE User Equipment
  • NAS Non-Access Stratum
  • AMF Access and Mobility Management function
  • the Radio Access Network (RAN, Radio Access Network) is mainly responsible for the air interface resource scheduling of the terminal access network and the connection management of the air interface.
  • Access and Mobility Management function mainly responsible for user mobility management, including registration and temporary identity allocation, maintenance of idle (IDLE) and connection (CONNECT) states and state migration, in the CONNECT state Switch, trigger paging and other functions in user IDLE state.
  • PCF Policy Control Function
  • PCF Policy Control Function
  • Session management function (SMF, Session Management function), mainly responsible for maintaining PDU Session,
  • QoS Quality of Service
  • the network data analysis function (NWDAF, Network Data Analytics Function) is mainly responsible for obtaining user and network information from other network elements, processing the obtained information, generating analysis data, and providing the analysis data to the network elements that subscribe to the analysis data.
  • the user information includes dynamic information such as user mobility information, service information accessed by the user, and 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.
  • the application function (AF, Application Function) provides service or user-related information to NWDAF directly or through NEF (Network Exposure Function, capability opening function), and can also subscribe to NWDAF for service or user-related information.
  • NWDAF Network Exposure Function, capability opening function
  • the NWDAF receives data from AMF, SMF, AF or RAN, performs correlation analysis and sends it to PCF, AMF or RAN.
  • the embodiment of the present application provides a A communication control method, applied to a first network element, wherein the first network element may be an NWDAF, the method includes but is not limited to the following steps 201 to 203:
  • Step 201 Acquire current usage status data of the user equipment
  • the current usage state data of the user equipment may be one or more of mobile behavior data, service session data, service experience data and network congestion data.
  • 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
  • the network congestion data can be obtained from the RAN.
  • Step 202 Predict the access information of the user equipment according to the usage state data, and generate reference data by using the access information
  • the access information of the user equipment may be one or more of an access location, an access habit, an access experience, and a congestion state of the accessed cell.
  • 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.
  • the second network element may be PCF, AMF or RAN.
  • the above steps 201 to 203 generate reference data by acquiring the current usage status data of the user equipment and predicting the access information of the user equipment according to the usage status data, so that the second network element can adjust the operator corresponding to the user equipment in time according to the reference data. Defining the access category and realizing the dynamic adjustment of the operator-defined access category is conducive to improving the user's service experience and optimizing the utilization of network resources.
  • the above-mentioned usage state data is mobile behavior data
  • the above-mentioned access information may be an access location.
  • the access information of the user equipment is predicted according to the usage state data, which may be specifically: , and predict the access location of the user equipment according to the mobile behavior data.
  • the mobile behavior data to predict the access location of the user equipment can facilitate subsequent adjustment of the operator-defined access category corresponding to the user equipment through the access location of the user equipment, and facilitate the operator to specify different access controls for different regions.
  • the above-mentioned movement behavior data may include a historical access area.
  • the above-mentioned prediction of the access location of the user equipment according to the movement behavior data may specifically include the following steps 301 to 302:
  • Step 301 Obtain the movement track of the user equipment according to the historical access area
  • the movement track of the user equipment can be obtained according to the change of the historical access area.
  • the historical access area of the user equipment may include area A, area B, area C and area D
  • the movement track of the user equipment can be obtained by connecting the above-mentioned areas to the center points of the above-mentioned areas A, B, C, and D.
  • the division dimension of the historical access area of the user equipment can be freely based on the actual situation.
  • the adjustment may be divided according to dimensions such as a cell, a street, a township, or a city, which is not limited in this embodiment of the present application.
  • Step 302 Predict the access location of the user equipment according to the movement track.
  • the approximate movement direction of the user equipment can be obtained, so that the access position of the user equipment can be predicted. For example, based on the movement trajectories obtained from area A, area B, area C and area D in the above example, it can be predicted that the access location of the user equipment will be area E, where area E is the adjacent area of area D.
  • the movement behavior data may also include a movement speed, and in this case, an access scenario of the user equipment may be predicted according to the movement speed of the user equipment. For example, if the moving speed of the user equipment is kept at around 200km/h, it can be predicted that the user equipment is on a light rail.
  • the mobility behavior data may also include the dwell time of the access area, the access frequency of the access area, etc.
  • parameter information corresponding to the user equipment may be predicted according to the corresponding mobility behavior data.
  • the above-mentioned movement behavior data has a variety of different types of data, and in practical applications, one or a combination of them can be used for prediction.
  • the prediction is the combination of the access scenario and the access location of the user equipment.
  • the above-mentioned mobile behavior data may also include service session data, and correspondingly the above-mentioned access information may be an access habit.
  • the access information of the user equipment is predicted according to the usage status data, specifically: Alternatively, the access habit of the user equipment is predicted according to the service session data.
  • the above-mentioned service session data may include service access duration and service access flow.
  • the above-mentioned prediction of the access habits of the user equipment according to the service session data may specifically include the following steps 401 to 402:
  • Step 401 Obtain the service type of the service accessed by the user equipment according to the service access duration and the service access flow;
  • the service type of the service accessed by the user equipment can be obtained. For example, if the service access time is long and the service access traffic is small, it can be considered that the service currently accessed by the user equipment is a game service; if the service access time is long and the service access traffic is large, then It can be considered that the services currently accessed by the user equipment are video services.
  • Step 402 Predict the access habit of the user equipment according to the service type.
  • the access habits of the corresponding user equipment are further predicted, that is, the user equipment is used to watch videos, play games or other operations.
  • the above-mentioned obtaining of the service type through the service access duration and the service access flow is for an unknown service.
  • the above-mentioned service session data may also directly include the service of the service accessed by the user equipment. type, and then directly predict the access habits of the user equipment through the service type.
  • the above-mentioned service session data may also include the duration of the PDU Session (Protocol Data Unit Session) and the QoS Flow (Quality of Service Flow) or the frequency of establishment and the like.
  • PDU Session Protocol Data Unit Session
  • QoS Flow Quality of Service Flow
  • the above-mentioned mobile behavior data may also include service experience data, and correspondingly the above-mentioned access information may be access experience.
  • the access information of the user equipment is predicted according to the usage status data, specifically: Alternatively, the access experience of the user equipment in the case of accessing different services is predicted according to the service experience data.
  • the service experience data to predict the access experience of the user equipment when accessing different services, it is convenient to adjust the operator-defined access category corresponding to the user equipment according to the access experience of the user equipment, and it is convenient for the operator to target different services. Experience specifying different access controls.
  • the above service experience data may include MOS (Mean Opinion Score, mean opinion score) of the service accessed by the user equipment.
  • the access information of the user equipment is predicted according to the usage state data, and specifically, the access experience of another user equipment may be predicted according to the service experience data. For example, if a user equipment has a poor access experience in game services, it can be predicted that another user equipment will have poor access experience in the corresponding game services, so it is necessary to perform corresponding access control on the user equipment. , wherein the above-mentioned user equipment can access the same base station. It is understandable that, in order to improve the accuracy of prediction, when it is predicted that the access experience of multiple user equipments in the game service is poor, it is considered that the access experience of another user equipment in the corresponding game service will also be the same. poor.
  • the above-mentioned movement behavior data may also include network congestion data, and accordingly the above-mentioned access information may be a network congestion state.
  • the access information of the user equipment is predicted according to the usage state data, specifically: Alternatively, the network congestion state of the user equipment is predicted according to the network congestion data.
  • the above-mentioned network congestion data may include a historically congested cell and a congestion period corresponding to a historically congested cell, and the above-mentioned prediction of the network congestion state of the user equipment according to the network congestion data may specifically include the following two situations:
  • the congestion state of the current access cell of the user equipment is predicted according to the congestion period; for example, the user equipment has historically accessed cell A, cell B, cell C and Cell D, in which cell A and cell B have experienced congestion, belong to historically congested cells.
  • the current access cell of the user equipment is cell A or cell B
  • the user equipment can be predicted according to the congestion period when cell A or cell B is historically congested.
  • the congestion period of the device for example, the historical congestion of cell A is from 6:00 pm to 8:00 pm.
  • the current user equipment accesses cell A, it is predicted that the user equipment will be congested from 6:00 pm to 8:00 pm on the same day, which is convenient for follow-up. access control.
  • the other is that when the current access cell of the user equipment does not belong to the historically congested cell, it is predicted that the congestion state 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 be congested in the future, which is convenient for subsequent access control.
  • the above-mentioned network congestion data may also include the load of the network function, for example, the flow rate of UPF (User Port Function, user port function), and the like.
  • UPF User Port Function, user port function
  • the above-mentioned usage status data may be one of mobile behavior data, service session data, service experience data, and network congestion data, or may be a combination of the above-mentioned data types.
  • the predicted access information can also increase the dimension accordingly, thereby improving the accuracy of the prediction.
  • the reference data may only include access information, that is, after 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 corresponding to the user equipment.
  • the access category in other embodiments, the reference data may also include access information and a historical operator-defined access category corresponding to the access information. Taking the access information as the access location as an example, NWDAF predicts After the access location of the user equipment, use big data and other methods to obtain the historical operator-defined access category corresponding to the access location.
  • the historical operator-defined access class can be used as a reference for the second network element to adjust the operator-defined access class corresponding to the user equipment, that is, the access class corresponding to the user equipment can be adjusted in combination with the historical operator-defined access class and the policy preset by the operator. Operators define access categories to improve justification for adjustments.
  • an embodiment of the present application further provides a communication control method, which is applied to a second network element, where the second network element may be one of PCF, AMF, and RAN, and the method includes but is not limited to The following steps 501 to 502:
  • Step 501 Receive reference data from a first network element
  • 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 and obtained by the first network element according to the current usage state data of the user equipment;
  • Step 502 Adjust the operator-defined access category corresponding to the user equipment according to the reference data.
  • the dynamic state of the operator-defined access category is realized.
  • the adjustment is beneficial to improve the user's service experience and optimize the utilization of network resources.
  • the operator-defined access category corresponding to the user equipment is adjusted according to the reference data, which may specifically include the following steps 601 to 602:
  • Step 601 obtain preset associated data
  • the association data includes an 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.
  • the associated data can be stored in the form of an association table, such as operator-defined access categories corresponding to different regions and operator-defined access types corresponding to different user groups. category, operator-defined access categories corresponding to different service experiences, operator-defined access categories corresponding to different network congestion states, and so on.
  • Step 602 Adjust the operator-defined access category corresponding to the user equipment according to the reference data and the associated data.
  • step 602 the access information in the reference data is substituted into the associated data to obtain the corresponding operator-defined access category, so as to determine whether the current operator-defined access category needs to be adjusted. If adjustment is required, a corresponding new operator-defined access category is generated.
  • the adjusted operator-defined access class may also be sent to the user equipment, and the user equipment stores the operator-defined access class.
  • the user equipment's historical operator-defined access categories can be known, so that the NWDAF can generate reference data based on the user equipment's historical operator-defined access categories.
  • the adjusted operator-defined access class may also be sent to the RAN, so that the RAN can adjust the corresponding access rights, Parameters such as network, traffic, and billing.
  • the associated data can also be sent by the first network element to the second network element.
  • the process of dynamically adjusting the operator-defined access category for the PCF based on the reference data provided by the NWDAF includes the following steps 701 to 708:
  • Step 701 PCF sends a request message for subscribing reference data to NWDAF, and the message carries the data type that needs to be subscribed, and also carries one or more of target user equipment, target network function and target cell;
  • Step 702 NWDAF returns a response message for subscribing to the reference data
  • Step 703 NWDAF directly or indirectly obtains one or more of mobile behavior data, service session data, service experience data and network congestion data;
  • Step 704 NWDAF performs data analysis and prediction based on one or more of the acquired mobile behavior data, service session data, service experience data and network congestion data, and obtains the predicted access information of the user equipment;
  • Step 705 the NWDAF sends a reference data notification message to the PCF, and the message carries the predicted access information of the user equipment;
  • Step 706 PCF sends to NWDAF a response message of receiving the reference data
  • Step 707 According to the predicted access information of the user equipment, the PCF combines the locally preset operator-defined access category associated data to confirm whether the operator-defined access category of the user equipment needs to be adjusted. Define the access category, then generate a new operator-defined access category;
  • Step 708 The PCF sends the new operator-defined access category to the AMF.
  • the type of data to be subscribed is, for example, one or more of mobile behavior data, service session data, service experience data, and network congestion data.
  • the NWDAF performs data analysis and prediction based on service session data as an example for illustration.
  • NWDAF predicts that the access habit of the user equipment is a video service, and sends the reference data notification message to the PCF, and the PCF receives the reference data notification message.
  • query the locally stored operator-defined access class association data confirm that the operator-defined access class corresponding to the video service is Odac2, and find that the current operator-defined access class of the user equipment is Odac1, then generate an operator-defined access class. Enter the class Odac2 and send it to the AMF, and the AMF can send the new operator-defined access class to the user equipment.
  • the process of dynamically adjusting the operator-defined access category for the AMF based on the reference data provided by the NWDAF includes the following steps 801 to 808:
  • Step 801 AMF sends a request message for subscribing reference data to NWDAF, the message carries the data type that needs to be subscribed, and also carries one or more of target user equipment, target network function and target cell;
  • Step 802 NWDAF returns a response message for subscribing to reference data
  • Step 803 NWDAF directly or indirectly obtains one or more of mobile behavior data, service session data, service experience data and network congestion data;
  • Step 804 NWDAF performs data analysis and prediction based on one or more of the acquired mobile behavior data, service session data, service experience data and network congestion data, and obtains the predicted access information of the user equipment;
  • Step 805 the NWDAF sends a reference data notification message to the AMF, and the message carries the predicted access information of the user equipment;
  • Step 806 AMF sends a response message to NWDAF that the reference data is received;
  • Step 807 AMF confirms whether the operator-defined access class of the user equipment needs to be adjusted according to the predicted access information of the user equipment, combined with the locally preset operator-defined access category associated data, and if necessary, adjusts the operator-defined access category of the user equipment. Define the access category, then generate a new operator-defined access category;
  • Step 808 The AMF sends the new operator-defined access category to the user equipment.
  • Example 2 the difference from Example 1 is that the AMF directly receives the reference data of the NWDAF, and if a new operator-defined access class needs to be generated, the operator-defined access class is sent to the user equipment.
  • the process of dynamically adjusting the operator-defined access category for the RAN based on the reference data provided by the NWDAF includes the following steps 901 to 909:
  • Step 901 the RAN sends a request message for subscribing to the reference data to the NWDAF, and the message carries the data type that needs to be subscribed, and also carries one or more of the target user equipment, the target network function and the target cell;
  • Step 902 NWDAF returns a response message for subscribing to reference data
  • Step 903 NWDAF directly or indirectly acquires one or more of mobile behavior data, service session data, service experience data and network congestion data;
  • Step 904 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, and obtains the predicted access information of the user equipment;
  • Step 905 the NWDAF sends a reference data notification message to the RAN, and the message carries the predicted access information of the user equipment;
  • Step 906 the RAN sends a response message for receiving the reference data to the NWDAF;
  • Step 907 The RAN confirms whether it is necessary to adjust the operator-defined access class of the user equipment according to the predicted access information of the user equipment, in combination with the locally preset operator-defined access class associated data, and if necessary, adjust the operator-defined access class of the user equipment. Define the access category, then generate a new operator-defined access category;
  • Step 908 the RAN sends the new operator-defined access class to the user equipment
  • Step 909 The RAN adjusts the corresponding access authority, network, traffic, charging and other parameters according to the new operator-defined access category.
  • Example 2 the difference from Example 1 is that the RAN directly receives the reference data of the NWDAF, and the RAN acts as the execution side to adjust the corresponding access rights, network, traffic, charging and other parameters according to the new operator-defined access category.
  • the process of dynamically adjusting the operator-defined access category for the AMF based on the reference data provided by the NWDAF includes the following steps 1001 to 1010:
  • Step 1001 AMF sends a request message for subscribing reference data to NWDAF, and the message carries the data type that needs to be subscribed, and also carries one or more of target user equipment, target network function and target cell;
  • Step 1002 NWDAF returns a response message for subscribing to reference data
  • Step 1003 NWDAF directly or indirectly acquires one or more of mobile behavior data, service session data, service experience data and network congestion data;
  • Step 1004 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, and obtains the predicted access information of the user equipment;
  • Step 1005 the NWDAF sends a reference data notification message to the AMF, and the message carries the predicted access information of the user equipment;
  • Step 1006 AMF sends a response message to NWDAF that the reference data is received;
  • Step 1007 AMF confirms 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 associated data of the locally preset operator-defined access category, and if necessary, adjust the operator-defined access category of the user equipment. Define the access category, then generate a new operator-defined access category;
  • Step 1008 the AMF sends a new operator-defined access class request message to the RAN;
  • Step 1009 the RAN sends a response message to the AMF that a new operator-defined access class is received;
  • Step 1010 The RAN adjusts corresponding parameters such as access authority, network, traffic, and charging according to the new operator-defined access category.
  • Example 3 the difference from Example 3 is that the RAN side does not have the ability to generate a new operator-defined access category.
  • FIG. 11 shows a network element 1100 provided by this embodiment of the present application.
  • the network element 1100 includes: a memory 1101, a processor 1102, and a computer program stored in the memory 1101 and running on the processor 1102, and the computer program is used to execute the above communication control method when running.
  • the processor 1102 and the memory 1101 may be connected by a bus or otherwise.
  • the memory 1101 can be used to store non-transitory software programs and non-transitory computer-executable programs, such as the communication control methods described in the embodiments of the present application.
  • the processor 1102 implements the above communication control method by running the non-transitory software programs and instructions stored in the memory 1101 .
  • the memory 1101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system and an application program required by at least one function; the storage data area may store and execute the above communication control method. Additionally, memory 1101 may include high-speed random access memory 1101, and may also include non-transitory memory 1101, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 1101 may include memory 1101 located remotely from processor 1102, and these remote memories 1101 may be connected to the network element 1100 via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
  • the non-transitory software programs and instructions required to implement the above communication control method are stored in the memory 1101.
  • the above communication control method is executed.
  • the network element is NWDAF
  • it can be Perform method steps 201 to 203 in FIG. 2 , method steps 301 to 302 in FIG. 3 , and method steps 401 to 402 in FIG. 4 ;
  • the network element is PCF, AMF or RAN, the method in FIG. 5 can be performed Steps 501 to 502, method steps 601 to 602 in FIG. 6 .
  • Embodiments of the present application further provide a computer-readable storage medium storing computer-executable instructions, where the computer-executable instructions are used to execute the above communication control method.
  • the computer-readable storage medium stores computer-executable instructions, which are executed by one or more control processors, for example, by a processor 1102 in the network element 1100 described above, which may The above-mentioned processor 1102 is caused to execute the above-mentioned communication control method.
  • the network element is an NWDAF
  • method steps 201 to 203 in FIG. 2 method steps 301 to 302 in FIG. 3 , and method step 401 in FIG. 4 may be performed.
  • Go to 402; if the network element is PCF, AMF or RAN, method steps 501 to 502 in FIG. 5 and method steps 601 to 602 in FIG. 6 may be performed.
  • the embodiments of the present application include: acquiring 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 a network element, so that the second network element adjusts the operator-defined access category corresponding to the user equipment according to the reference data.
  • the reference data is generated, so that the second network element can timely adjust the operator-defined access information corresponding to the user equipment according to the reference data.
  • Access category realizes the dynamic adjustment of the access category defined by the operator, which is beneficial to improve the user's service experience and optimize the utilization of network resources.
  • Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory 1001 technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or Any other medium that can be used to store the desired information and that can be accessed by a computer.
  • 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 can include any information delivery media, as is well known to those of ordinary skill in the art .

Abstract

一种通信控制方法、网元及存储介质。其中，所述通信控制方法通过获取用户设备当前的使用状态数据(S201)，根据所述使用状态数据预测所述用户设备的接入信息，利用所述接入信息生成参考数据(S202)，将所述参考数据发送至第二网元，以使所述第二网元根据所述参考数据调整所述用户设备对应的运营商定义接入类别(S203)。

Description

通信控制方法、网元及存储介质
相关申请的交叉引用
本申请基于申请号为202010847934.4、申请日为2020年8月21日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请涉及通信技术领域，特别是涉及一种通信控制方法、网元及存储介质。
背景技术
第五代移动通信(5th generation mobile networks，5G)技术中，运营商可以自定义应用的接入分类，即运营商定义接入类别(Operator-defined Access Category，ODAC)，即不同的应用对应不同的接入分类，其中，不同的接入分类定义有不同的接入权限、网络、流量、计费等。由此，可根据对应的接入分类控制各应用接入移动通信网络，实现对应用的统一接入控制(Unified Access Control，UAC)。
目前，网络侧可以基于业务的数据网络名称(Data Network Name，DNN)、单个网络切片选择辅助信息(Single Network Slice Selection Assistance Information，S-NSSAI)、应用标识等信息静态配置应用和接入分类的对应关系，以保证用户的业务体验。但由于上述参数是静态的，无法及时根据用户的实际情况进行调整，不利于改善用户的业务体验。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
本申请实施例提供了一种通信控制方法、网元及存储介质。
第一方面，本申请实施例提供了一种通信控制方法，包括：获取用户设备当前的使用状态数据；根据所述使用状态数据预测所述用户设备的接入信息，利用所述接入信息生成参考数据；将所述参考数据发送至第二网元，以使所述第二网元根据所述参考数据调整所述用户设备对应的运营商定义接入类别。
第二方面，本申请实施例还提供了一种通信控制方法，包括：接收来自第一网元的参考数据，其中，所述参考数据由所述第一网元根据用户设备的接入信息生成，所述接入信息由所述第一网元根据所述用户设备当前的使用状态数据预测得到；根据所述参考数据调整所述用户设备对应的运营商定义接入类别。
第三方面，本申请实施例还提供了一种网元：包括至少一个处理器和用于与所述至少一个处理器通信连接的存储器；所述存储器存储有能够被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如第一方面或者第二方面所述的通信控制方法。
第四方面，本申请实施例还提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令用于使计算机执行第一方面或者第二方面所述的通信控制方法。
本申请的其他特征和优点将在随后的说明书中阐述，并且，部分地从说明书中变得显而易见，或者通过实施本申请而了解。本申请的目的和其他优点可通过在说明书、权利要求书以及附图中所特别指出的结构来实现和获得。
附图说明
附图用来提供对本申请技术方案的进一步理解，并且构成说明书的一部分，与本申请的实施例一起用于解释本申请的技术方案，并不构成对本申请技术方案的限制。
图1是本申请实施例提供的示例性网络架构示意图；
图2是本申请实施例提供的第一网元侧的一种通信控制方法的流程图；
图3是本申请实施例提供的根据移动行为数据预测用户设备的接入位置的一种具体步骤流程图；
图4是本申请实施例提供的根据业务会话数据预测用户设备的接入习惯的具体步骤流程图；
图5是本申请实施例提供的第二网元侧的一种通信控制方法的流程图；
图6是本申请实施例提供的根据参考数据调整用户设备对应的运营商定义接入类别的具体步骤流程图；
图7是本申请实施例提供的PCF基于NWDAF提供的参考数据动态调整运营商定义接入类别的其中一个例子的流程图；
图8是本申请实施例提供的AMF基于NWDAF提供的参考数据动态调整运营商定义接入类别的其中一个例子的流程图；
图9是本申请实施例提供的RAN基于NWDAF提供的参考数据动态调整运营商定义接入类别的其中一个例子的流程图；
图10是本申请实施例提供的AMF基于NWDAF提供的参考数据动态调整运营商定义接入类别的另一个例子的流程图；
图11是本申请实施例提供的一种网元的结构示意图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本申请，并不用于限定本申请。
应了解，在本申请实施例的描述中，多个(或多项)的含义是两个以上，大于、小于、超过等理解为不包括本数，以上、以下、以内等理解为包括本数。如果有描述到“第一”、“第二”等只是用于区分技术特征为目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量或者隐含指明所指示的技术特征的先后关系。
参照图1，为本申请实施例提供的示例性网络架构示意图。其中，该架构中部分网元的功能如下：
用户设备(UE，User Equipment)，主要通过无线空口接入5G网络并获得服务，用户设备通过空口和基站交互信息，通过非接入层信令(NAS，Non-Access Stratum)和核心网的接入和移动管理功能(AMF，Access and Mobility Management function)交互信息。
无线接入网(RAN，Radio Access Network)，主要负责终端接入网络的空口资源调度和以及空口的连接管理。
接入和移动管理功能(AMF，Access and Mobility Management function)，主要负责用户移动性管理，包括注册和临时标识分配、维护空闲(IDLE)和连接(CONNECT)状态以及状态迁移、在CONNECT状态下的切换、用户IDLE状态下触发寻呼等功能。
策略控制功能(PCF，Policy Control Functionality)，主要负责接入和移动性管理策略、 UE策略、会话管理策略和计费规则，并根据业务信息和用户签约信息以及运营商的配置信息产生接入和移动性管理策略、UE路由选择策略、用户数据传递的Qos(Quality of Service，服务质量)规则和计费规则等。
会话管理功能(SMF，Session Management function)，主要负责维护PDU Session，
负责分配用户IP地址，具有服务质量(QoS，Quality of Service)控制、计费、用户IDLE状态下收到下行数据包进行缓存并通知AMF寻呼用户等功能。
网络数据分析功能(NWDAF，Network Data Analytics Function)，主要负责从其他网元获取用户和网络信息，对获取的信息进行处理后，生成分析数据，把分析数据提供给向其订阅分析数据的网元。示例性地，用户信息包括用户移动信息、用户接入的业务信息等动态信息，以及签约信息等静态信息。网络信息包括网络功能的负荷等动态信息和网络部署等静态信息。
应用功能(AF，Application Function)，直接或通过NEF(Network Exposure Function，能力开放功能)提供业务或用户相关信息给NWDAF，也可向NWDAF订阅业务或用户相关信息。
基于图1所示的网络架构，NWDAF接收来自AMF、SMF、AF或者RAN的数据，进行相关分析后发送至PCF、AMF或者RAN，在此基础上，参照图2，本申请实施例提供了一种通信控制方法，应用于第一网元，其中，第一网元可以是NWDAF，该方法包括但不限于以下步骤201至步骤203：
步骤201：获取用户设备当前的使用状态数据；
其中，在步骤201中，用户设备当前的使用状态数据，可以是移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种。其中，移动行为数据可以从AMF处获取，业务会话数据可以从SMF处获得，业务体验数据可以从AF处获得，网络拥塞数据可以从RAN处获得。
步骤202：根据使用状态数据预测用户设备的接入信息，利用接入信息生成参考数据；
其中，在步骤202中，用户设备的接入信息，可以是接入位置、接入习惯、接入体验、所接入的小区的拥塞状态中的一种或者多种。
步骤203：将参考数据发送至第二网元，以使第二网元根据参考数据调整用户设备对应的运营商定义接入类别。
其中，在步骤203中，第二网元可以是PCF、AMF或者RAN。
上述步骤201至步骤203通过获取用户设备当前的使用状态数据，并根据使用状态数据预测用户设备的接入信息进而生成参考数据，使得第二网元可以及时根据参考数据调整用户设备对应的运营商定义接入类别，实现运营商定义接入类别的动态调整，有利于改善用户的业务体验，优化网络资源的利用。
在一实施例中，上述使用状态数据为移动行为数据，相应地上述接入信息可以为接入位置，基于此，上述步骤202中，根据使用状态数据预测用户设备的接入信息，具体可以是，根据移动行为数据预测用户设备的接入位置。通过利用移动行为数据预测用户设备的接入位置，可以便于后续通过用户设备的接入位置调整用户设备对应的运营商定义接入类别，便于运营商针对不同地域指定不同的接入控制。
在一实施例中，上述移动行为数据可以包括历史接入区域，参照图3，上述根据移动行为数据预测用户设备的接入位置，具体可以包括以下步骤301至步骤302：
步骤301：根据历史接入区域得到用户设备的移动轨迹；
其中，在上述步骤301中，根据历史接入区域的变化情况，可以得到用户设备的移动轨迹，举例来说，用户设备的历史接入区域可以有区域A、区域B、区域C和区域D，将上述区将上述区域A、区域B、区域C和区域D的中心点连线即可得到用户设备的移动轨迹，可以理解的是，用户设备的历史接入区域的划分维度可以根据实际情况自由调整，例如可以根据小区、街道、镇区或者城市等维度进行划分，本申请实施例并不作出限定。
步骤302：根据移动轨迹预测用户设备的接入位置。
其中，在上述步骤302中，由于得到了用户设备的移动轨迹，因而可以得到用户设备大致的移动方向，从而可以预测用户设备的接入位置。举例来说，基于上述例子中区域A、区域B、区域C和区域D得到的移动轨迹，可以预测到用户设备的接入位置即将为区域E，其中区域E为区域D的相邻区域。
在一实施例中，移动行为数据也可以包括移动速度，此时可以根据用户设备的移动速度预测用户设备的接入场景。举例来说，用户设备的移动速度保持在200km/h上下浮动，可以预测用户设备正处于轻轨上。
在一实施例中，移动行为数据也可以包括接入区域的驻留时长、接入区域的接入频度等等，此时，可以根据相应的移动行为数据预测用户设备对应的参数信息。
可以理解的是，上述移动行为数据具有多种不同种类的数据，在实际应用中可以取一种或者多种的结合进行预测，例如，可以结合用户设备的移动轨迹和移动速度预测用户设备的接入信息，此时预测的是用户设备的接入场景和接入位置的结合。
在一实施例中，上述移动行为数据也可以包括业务会话数据，相应地上述接入信息可以为接入习惯，基于此，上述步骤202中，根据使用状态数据预测用户设备的接入信息，具体也可以是，根据业务会话数据预测用户设备的接入习惯。通过利用业务会话数据预测用户设备的接入习惯，可以便于后续通过用户设备的接入习惯调整用户设备对应的运营商定义接入类别，便于运营商针对不同的用户群体指定不同的接入控制。
在一实施例中，上述业务会话数据可以包括业务接入时长和业务接入流量，参照图4，上述根据业务会话数据预测用户设备的接入习惯，具体可以包括以下步骤401至步骤402：
步骤401：根据业务接入时长和业务接入流量得到用户设备接入的业务的业务类型；
其中，在步骤401中，根据业务接入时长和业务接入流量的大小，可以得到用户设备接入的业务的业务类型。举例来说，若业务接入时长很长，业务接入流量很小，则可以认为用户设备目前接入的业务为游戏类业务；若业务接入时长很长，业务接入流量很大，则可以认为用户设备目前接入的业务为视频类业务。
步骤402：根据业务类型预测用户设备的接入习惯。
其中，在上述步骤402中，由于得到了用户设备接入业务的业务类型，进而预测对应用户设备的接入习惯，即用户设备习惯用于看视频、玩游戏还是其他操作。
可以理解的是，上述通过业务接入时长和业务接入流量得到业务类型，是针对未知的业务而言，在一实施例中，上述业务会话数据也可以直接包括用户设备接入的业务的业务类型，进而直接通过业务类型预测用户设备的接入习惯。
在一实施例中，上述业务会话数据也可以包括PDU Session(协议数据单元会话)和Qos Flow(服务质量流)的存续时长或者建立频度等。
在一实施例中，上述移动行为数据也可以包括业务体验数据，相应地上述接入信息可 以为接入体验，基于此，上述步骤202中，根据使用状态数据预测用户设备的接入信息，具体也可以是，根据业务体验数据预测用户设备在接入不同业务的情况下的接入体验。通过利用业务体验数据预测用户设备在接入不同业务的情况下的接入体验，可以便于后续通过用户设备的接入体验调整用户设备对应的运营商定义接入类别，便于运营商针对不同的业务体验指定不同的接入控制。举例来说，用户设备在游戏类业务的接入体验较差，在视频类业务的接入体验较好，则需要相应地对用户设备进行接入控制，改善用户设备在游戏类业务的接入体验。其中，上述业务体验数据可以包括用户设备接入的业务的MOS(Mean Opinion Score，平均意见分数)。
在一实施例中，上述步骤202中，根据使用状态数据预测用户设备的接入信息，具体也可以是，根据业务体验数据预测另一用户设备的接入体验。举例来说，一用户设备在游戏类业务的接入体验较差，可以预测另一用户设备在对应的游戏类业务的接入体验也会较差，从而需要对用户设备进行相应的接入控制，其中，上述用户设备可以接入同一个基站。可以理解的是，为了提高预测的准确性，可以在预测到多个用户设备在游戏类业务的接入体验较差时，才认为另一用户设备在对应的游戏类业务的接入体验也会较差。
在一实施例中，上述移动行为数据也可以包括网络拥塞数据，相应地上述接入信息可以为网络拥塞状态，基于此，上述步骤202中，根据使用状态数据预测用户设备的接入信息，具体也可以是，根据网络拥塞数据预测用户设备的网络拥塞状态。通过利用网络拥塞数据预测用户设备的网络拥塞状态，可以便于后续通过用户设备的网络拥塞状态调整用户设备对应的运营商定义接入类别，便于运营商针对不同的网络拥塞状态指定不同的接入控制。
在一实施例中，上述网络拥塞数据可以包括历史拥塞小区和历史拥塞小区对应的拥塞时段，上述根据网络拥塞数据预测用户设备的网络拥塞状态，具体可以有以下两种情况：
一种是当用户设备的当前接入小区属于历史拥塞小区，根据拥塞时段预测用户设备的当前接入小区的拥塞状态；举例来说，用户设备历史接入过小区A、小区B、小区C和小区D，其中小区A和小区B出现过拥塞现象，属于历史拥塞小区，当用户设备当前接入小区为小区A或者小区B时，则可以根据小区A或者小区B历史拥塞时的拥塞时段预测用户设备的拥塞时段，例如，小区A历史拥塞时是下午6点至8点，当前用户设备接入小区A时，则预测用户设备在当天下午的6点至8点会发生拥塞，便于进行后续的接入控制。
另一种是当用户设备的当前接入小区不属于历史拥塞小区，预测用户设备的当前接入小区的拥塞状态正常。举例来说，用户设备当前接入的小区E从未发生过拥塞现象，则可以预测用户设备后续也不会发生拥塞，便于进行后续的接入控制。
在一实施例中，上述网络拥塞数据也可以包括网络功能的负荷，例如UPF(User Port Function，用户端口功能)的流量大小等。
可以理解的是，上述使用状态数据可以是移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种，也可以是上述几种数据类型的组合，当使用状态数据为多种数据类型的组合时，预测的接入信息也可以相应地增加维度，从而提高预测的准确性。
可以理解的是，若获取用户设备当前的使用状态数据的时间跨度较大，此时使用状态数据的样本量较多，也可以利用大数据、神经网络、决策树等算法进行接入信息的预测。
在一实施例中，参考数据可以只包括接入信息，即NWDAF预测了用户设备的接入信息后直接将接入信息发送至第二网元，供第二网元调整用户设备对应的运营商定义接入类 别；在其他实施例中，参考数据也可以包括接入信息和与接入信息对应的历史运营商定义接入类别，以接入信息为接入位置为例进行说明，NWDAF预测了用户设备的接入位置后，利用大数据等方式获取该接入位置对应的历史运营商定义接入类别，该接入位置对应的历史运营商定义接入类别可能有多种，例如可以为Ocda1、Ocda2和Ocda3，其中使用Ocda1的用户设备的数量最多，则以Ocda1作为该接入位置对应的历史运营商定义接入类别。而历史运营商定义接入类别可以作为第二网元调整用户设备对应的运营商定义接入类别的参考，即可以结合历史运营商定义接入类别与运营商预设的策略调整用户设备对应的运营商定义接入类别，以提高调整的合理性。
另外，参照图5，本申请实施例还提供了一种通信控制方法，应用于第二网元，其中，第二网元可以是PCF、AMF和RAN中的一种，该方法包括但不限于以下步骤501至步骤502：
步骤501：接收来自第一网元的参考数据；
其中，在步骤501中，参考数据由第一网元根据用户设备的接入信息生成，接入信息由第一网元根据用户设备当前的使用状态数据预测得到；
步骤502：根据参考数据调整用户设备对应的运营商定义接入类别。
上述步骤501至步骤502中通过接收由第一网元根据用户设备的接入信息生成的参考数据，根据参考数据调整用户设备对应的运营商定义接入类别，实现运营商定义接入类别的动态调整，有利于改善用户的业务体验，优化网络资源的利用。
在一实施例中，参照图6，上述步骤502中，根据参考数据调整用户设备对应的运营商定义接入类别，具体可以包括以下步骤601至步骤602：
步骤601：获取预设的关联数据；
其中，在步骤601中，关联数据包含有接入信息与运营商定义接入类别的关联关系。关联数据可以由运营商根据实际情况进行设置，举例来说，关联数据可以以关联表的形式储存起来，例如不同区域对应的运营商定义接入类别、不同的用户群体对应的运营商定义接入类别、不同业务体验对应的运营商定义接入类别、不同网络拥塞状态对应的运营商定义接入类别等等。
步骤602：根据参考数据和关联数据调整用户设备对应的运营商定义接入类别。
其中，在步骤602中，将参考数据中的接入信息代入到关联数据中，即可得到对应的运营商定义接入类别，以此来判断是否需要调整当前的运营商定义接入类别，若需要调整，则生成对应的新的运营商定义接入类别。
在一实施例中，当第二网元为AMF或者RAN时，还可以将调整后的运营商定义接入类别发送至用户设备，用户设备将运营商定义接入类别储存起来，当用户设备的运营商定义接入类别发生多次调整后，可以获知用户设备的历史运营商定义接入类别，便于NWDAF基于用户设备的历史运营商定义接入类别生成参考数据。
在一实施例中，当第二网元为AMF时，也可以将调整后的运营商定义接入类别发送至RAN，便于RAN根据调整后的运营商定义接入类别调整对应的接入权限、网络、流量、计费等参数。
可以理解的是，关联数据除了在第二网元上预设以外，也可以由第一网元发送至第二网元。
下面以几个实际的例子说明本申请实施例的通信控制方法。
例子一
参照图7，为PCF基于NWDAF提供的参考数据动态调整运营商定义接入类别的过程，包括以下步骤701至步骤708：
步骤701：PCF向NWDAF发送订阅参考数据的请求消息，消息中携带有需要订阅的数据类型，同时也携带有目标用户设备、目标网络功能和目标小区中的一种或者多种；
步骤702：NWDAF返回订阅参考数据的响应消息；
步骤703：NWDAF直接或者间接地获取移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种；
步骤704：NWDAF基于获取到的移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种进行数据分析预测，得到预测的用户设备的接入信息；
步骤705：NWDAF向PCF发送参考数据通知消息，消息中携带有预测的用户设备的接入信息；
步骤706：PCF向NWDAF发送接收到参考数据的响应消息；
步骤707：PCF根据预测的用户设备的接入信息，结合本地预设的运营商定义接入类别关联数据，确认是否需要调整用户设备的运营商定义接入类别，若需要调整用户设备的运营商定义接入类别，则生成新的运营商定义接入类别；
步骤708：PCF将新的运营商定义接入类别发送至AMF。
其中，在步骤701中，需要订阅的数据类型，例如是移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种。
在本例子中，以NWDAF基于业务会话数据进行数据分析预测为例进行说明，NWDAF预测用户设备的接入习惯为视频类业务，将此参考数据通知消息发送至PCF，PCF接收到参考数据通知消息，查询本地储存的运营商定义接入类别关联数据，确认视频类业务对应的运营商定义接入类别为Odac2，并发现用户设备当前的运营商定义接入类别为Odac1，则生成运营商定义接入类别Odac2并发送至AMF，AMF可以将新的运营商定义接入类别发送至用户设备。
例子二
参照图8，为AMF基于NWDAF提供的参考数据动态调整运营商定义接入类别的过程，包括以下步骤801至步骤808：
步骤801：AMF向NWDAF发送订阅参考数据的请求消息，消息中携带有需要订阅的数据类型，同时也携带有目标用户设备、目标网络功能和目标小区中的一种或者多种；
步骤802：NWDAF返回订阅参考数据的响应消息；
步骤803：NWDAF直接或者间接地获取移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种；
步骤804：NWDAF基于获取到的移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种进行数据分析预测，得到预测的用户设备的接入信息；
步骤805：NWDAF向AMF发送参考数据通知消息，消息中携带有预测的用户设备的接入信息；
步骤806：AMF向NWDAF发送接收到参考数据的响应消息；
步骤807：AMF根据预测的用户设备的接入信息，结合本地预设的运营商定义接入类别关联数据，确认是否需要调整用户设备的运营商定义接入类别，若需要调整用户设备的 运营商定义接入类别，则生成新的运营商定义接入类别；
步骤808：AMF将新的运营商定义接入类别发送至用户设备。
在本例子中，与例子一的区别在于，AMF直接接收NWDAF的参考数据，若需要生成新的运营商定义接入类别，则将运营商定义接入类别发送至用户设备。
例子三
参照图9，为RAN基于NWDAF提供的参考数据动态调整运营商定义接入类别的过程，包括以下步骤901至步骤909：
步骤901：RAN向NWDAF发送订阅参考数据的请求消息，消息中携带有需要订阅的数据类型，同时也携带有目标用户设备、目标网络功能和目标小区中的一种或者多种；
步骤902：NWDAF返回订阅参考数据的响应消息；
步骤903：NWDAF直接或者间接地获取移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种；
步骤904：NWDAF基于获取到的移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种进行数据分析预测，得到预测的用户设备的接入信息；
步骤905：NWDAF向RAN发送参考数据通知消息，消息中携带有预测的用户设备的接入信息；
步骤906：RAN向NWDAF发送接收到参考数据的响应消息；
步骤907：RAN根据预测的用户设备的接入信息，结合本地预设的运营商定义接入类别关联数据，确认是否需要调整用户设备的运营商定义接入类别，若需要调整用户设备的运营商定义接入类别，则生成新的运营商定义接入类别；
步骤908：RAN将新的运营商定义接入类别发送至用户设备；
步骤909：RAN根据新的运营商定义接入类别调整对应的接入权限、网络、流量、计费等参数。
在本例子中，与例子一的区别在于，RAN直接接收NWDAF的参考数据，同时RAN作为执行侧根据新的运营商定义接入类别调整对应的接入权限、网络、流量、计费等参数。
例子四
参照图10，为AMF基于NWDAF提供的参考数据动态调整运营商定义接入类别的过程，包括以下步骤1001至步骤1010：
步骤1001：AMF向NWDAF发送订阅参考数据的请求消息，消息中携带有需要订阅的数据类型，同时也携带有目标用户设备、目标网络功能和目标小区中的一种或者多种；
步骤1002：NWDAF返回订阅参考数据的响应消息；
步骤1003：NWDAF直接或者间接地获取移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种；
步骤1004：NWDAF基于获取到的移动行为数据、业务会话数据、业务体验数据和网络拥塞数据中的一种或者多种进行数据分析预测，得到预测的用户设备的接入信息；
步骤1005：NWDAF向AMF发送参考数据通知消息，消息中携带有预测的用户设备的接入信息；
步骤1006：AMF向NWDAF发送接收到参考数据的响应消息；
步骤1007：AMF根据预测的用户设备的接入信息，结合本地预设的运营商定义接入类别关联数据，确认是否需要调整用户设备的运营商定义接入类别，若需要调整用户设备 的运营商定义接入类别，则生成新的运营商定义接入类别；
步骤1008：AMF向RAN发送新的运营商定义接入类别的请求消息；
步骤1009：RAN向AMF发送接收到新的运营商定义接入类别的响应消息；
步骤1010：RAN根据新的运营商定义接入类别调整对应的接入权限、网络、流量、计费等参数。
在本例子中，与例子三的区别在于，RAN侧不具备生成新的运营商定义接入类别的能力。
还应了解，本申请实施例提供的各种实施方式可以任意进行组合，以实现不同的技术效果。
图11示出了本申请实施例提供的网元1100。网元1100包括：存储器1101、处理器1102及存储在存储器1101上并可在处理器1102上运行的计算机程序，计算机程序运行时用于执行上述通信控制方法。
处理器1102和存储器1101可以通过总线或者其他方式连接。
存储器1101作为一种非暂态计算机可读存储介质，可用于存储非暂态软件程序以及非暂态性计算机可执行程序，如本申请实施例描述通信控制方法。处理器1102通过运行存储在存储器1101中的非暂态软件程序以及指令，从而实现上述通信控制方法。
存储器1101可以包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需要的应用程序；存储数据区可存储执行上述通信控制方法。此外，存储器1101可以包括高速随机存取存储器1101，还可以包括非暂态存储器1101，例如至少一个磁盘存储器件、闪存器件或其他非暂态固态存储器件。在一些实施方式中，存储器1101可包括相对于处理器1102远程设置的存储器1101，这些远程存储器1101可以通过网络连接至该网元1100。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
实现上述通信控制方法所需的非暂态软件程序以及指令存储在存储器1101中，当被一个或者多个处理器1102执行时，执行上述通信控制方法，例如，若该网元为NWDAF时，可以执行图2中的方法步骤201至203、图3中的方法步骤301至302、图4中的方法步骤401至402；若该网元为PCF、AMF或者RAN时，可以执行图5中的方法步骤501至502、图6中的方法步骤601至602。
本申请实施例还提供了计算机可读存储介质，存储有计算机可执行指令，计算机可执行指令用于执行上述通信控制方法。
在一实施例中，该计算机可读存储介质存储有计算机可执行指令，该计算机可执行指令被一个或多个控制处理器执行，例如，被上述网元1100中的一个处理器1102执行，可使得上述处理器1102执行上述通信控制方法，例如，若该网元为NWDAF时，可以执行图2中的方法步骤201至203、图3中的方法步骤301至302、图4中的方法步骤401至402；若该网元为PCF、AMF或者RAN时，可以执行图5中的方法步骤501至502、图6中的方法步骤601至602。
本申请实施例包括：获取用户设备当前的使用状态数据，根据所述使用状态数据预测所述用户设备的接入信息，利用所述接入信息生成参考数据，将所述参考数据发送至第二网元，以使所述第二网元根据所述参考数据调整所述用户设备对应的运营商定义接入类别。通过获取用户设备当前的使用状态数据，并根据使用状态数据预测用户设备的接入信息进 而生成参考数据，使得第二网元可以及时根据所述参考数据调整所述用户设备对应的运营商定义接入类别，实现运营商定义接入类别的动态调整，有利于改善用户的业务体验，优化网络资源的利用。
以上所描述的装置实施例仅仅是示意性的，其中作为分离部件说明的单元可以是或者也可以不是物理上分开的，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。
本领域普通技术人员可以理解，上文中所公开方法中的全部或某些步骤、系统可以被实施为软件、固件、硬件及其适当的组合。某些物理组件或所有物理组件可以被实施为由处理器，如中央处理器、数字信号处理器或微处理器执行的软件，或者被实施为硬件，或者被实施为集成电路，如专用集成电路。这样的软件可以分布在计算机可读介质上，计算机可读介质可以包括计算机存储介质(或非暂时性介质)和通信介质(或暂时性介质)。如本领域普通技术人员公知的，术语计算机存储介质包括在用于存储信息(诸如计算机可读指令、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器1001技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外，本领域普通技术人员公知的是，通信介质通常包括计算机可读指令、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据，并且可包括任何信息递送介质。
以上是对本申请的一些实施进行了具体说明，但本申请并不局限于上述实施方式，熟悉本领域的技术人员在不违背本申请范围的共享条件下还可作出种种等同的变形或替换，这些等同的变形或替换均包括在本申请权利要求所限定的范围内。

Claims (14)

  1. 一种通信控制方法，包括：
    获取用户设备当前的使用状态数据；
    根据所述使用状态数据预测所述用户设备的接入信息，利用所述接入信息生成参考数据；
    将所述参考数据发送至第二网元，以使所述第二网元根据所述参考数据调整所述用户设备对应的运营商定义接入类别。
  2. 根据权利要求1所述的通信控制方法，其中，所述使用状态数据包括移动行为数据，所述的根据所述使用状态数据预测所述用户设备的接入信息，包括：
    根据所述移动行为数据预测所述用户设备的接入位置。
  3. 根据权利要求2所述的通信控制方法，其中，所述移动行为数据包括历史接入区域，所述的根据所述移动行为数据预测所述用户设备的接入位置，包括：
    根据所述历史接入区域得到所述用户设备的移动轨迹；
    根据所述移动轨迹预测所述用户设备的接入位置。
  4. 根据权利要求1所述的通信控制方法，其中，所述使用状态数据包括业务会话数据，所述的根据所述使用状态数据预测所述用户设备的接入信息，包括：
    根据所述业务会话数据预测所述用户设备的接入习惯。
  5. 根据权利要求4所述的通信控制方法，其中，所述业务会话数据包括业务接入时长和业务接入流量，所述的根据所述业务会话数据预测所述用户设备的接入习惯，包括：
    根据所述业务接入时长和所述业务接入流量得到所述用户设备接入的业务的业务类型；
    根据所述业务类型预测所述用户设备的接入习惯。
  6. 根据权利要求1所述的通信控制方法，其中，所述使用状态数据包括业务体验数据，所述的根据所述使用状态数据预测所述用户设备的接入信息，包括：
    根据所述业务体验数据预测所述用户设备在接入不同业务的情况下的接入体验。
  7. 根据权利要求1所述的通信控制方法，其中，所述使用状态数据包括网络拥塞数据，所述的根据所述使用状态数据预测所述用户设备的接入信息，包括：
    根据所述网络拥塞数据预测所述用户设备的网络拥塞状态。
  8. 根据权利要求7所述的通信控制方法，其中，所述网络拥塞数据包括历史拥塞小区和所述历史拥塞小区对应的拥塞时段，所述的根据所述网络拥塞数据预测所述用户设备的网络拥塞状态，包括以下至少之一：
    当所述用户设备的当前接入小区属于所述历史拥塞小区，根据所述拥塞时段预测所述用户设备的当前接入小区的拥塞状态；
    当所述用户设备的当前接入小区不属于所述历史拥塞小区，预测所述用户设备的当前接入小区的拥塞状态正常。
  9. 根据权利要求1至8任一所述的通信控制方法，其中，所述参考数据包括以下之一：
    所述接入信息；
    所述接入信息和与所述接入信息对应的历史运营商定义接入类别。
  10. 一种通信控制方法，包括：
    接收来自第一网元的参考数据，其中，所述参考数据由所述第一网元根据用户设备的接入信息生成，所述接入信息由所述第一网元根据所述用户设备当前的使用状态数据预测得到；
    根据所述参考数据调整所述用户设备对应的运营商定义接入类别。
  11. 根据权利要求10所述的通信控制方法，其中，所述的根据所述参考数据调整所述用户设备对应的运营商定义接入类别，包括：
    获取预设的关联数据，其中，所述关联数据包含有所述接入信息与运营商定义接入类别的关联关系；
    根据所述参考数据和所述关联数据调整所述用户设备对应的运营商定义接入类别。
  12. 根据权利要求10所述的通信控制方法，还包括：
    将调整后的所述运营商定义接入类别发送至所述用户设备或者无线接入网RAN。
  13. 一种网元，包括至少一个处理器和用于与所述至少一个处理器通信连接的存储器；其中，所述存储器存储有能够被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如权利要求1至12中任意一项所述的通信控制方法。
  14. 一种计算机可读存储介质，存储有计算机可执行指令，其中，所述计算机可执行指令用于使计算机执行如权利要求1至12中任意一项所述的通信控制方法。
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