Communication methods, communication device, communication system, storage medium and program product

Abstract

The embodiments of the present disclosure relate to communication methods, a communication device, a communication system, a storage medium and a program product. A communication method can be executed by a first node, and the method comprises: receiving first information from a second node, the first information being used for requesting the first node to provide a first policy associated with a terminal, and the first policy being used for implementing policy control of the terminal; on the basis of the first information, determining or generating a first AI policy model associated with the terminal; on the basis of the first AI policy model, generating a first policy; and sending the first policy to the second node. Thus, in the embodiments of the present disclosure, the first AI policy model is determined on the basis of the first information, that is, the first AI policy model is associated with the terminal, such that the first policy generated by the first node can meet the requirements of the terminal, thus helping the terminal to implement policy control on the basis of the first policy.

Description

Communication methods, communication equipment, communication systems, storage media and software products Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a communication method, communication device, communication system, storage medium, and program product. Background Technology

[0002] With the development of communication technology, there are currently two ways to determine the strategy: one is the predefined method, and the other is the dynamic generation method. However, the predefined method is implemented through pre-configuration or pre-providement, so it cannot flexibly update the predefined PCC. On the other hand, the generation of dynamic PCC rules needs to consider a large number of parameters, some of which are optional, conditional, or missing, making it difficult to generate accurate PCC rules.

[0003] Summary of the Invention

[0004] With the introduction of an AI strategy model, it is necessary to consider how to determine the first AI strategy model associated with the terminal so as to generate the strategy through the first AI strategy model.

[0005] This disclosure provides a communication method, communication device, communication system, storage medium, and program product that can determine a first AI strategy model associated with a terminal and generate a strategy through the first AI strategy model.

[0006] According to a first aspect of the present disclosure, a communication method is proposed, executed by a first node, the method comprising: receiving first information from a second node, the first information being used to request the first node to provide a first policy associated with a terminal, the first policy being used to implement policy control of the terminal; determining or generating a first AI policy model associated with the terminal based on the first information; generating the first policy based on the first AI policy model; and sending the first policy to the second node.

[0007] According to a second aspect of the present disclosure, a communication method is proposed, executed by a second node, the method comprising: sending first information to a first node, the first information being used to request the first node to provide a first policy associated with a terminal, the first policy being used to implement policy control, the first policy being generated by the first node based on a first AI policy model associated with the terminal, the first AI policy model being determined or generated by the first node based on the first information; and receiving the first policy sent by the first node.

[0008] According to a third aspect of the present disclosure, a communication method is proposed, executed by a third node, the method comprising: receiving second information sent by a first node based on first information, the second information being used to request the third node to provide a first AI strategy model, the first information being used to request the first node to provide a first strategy associated with a terminal, the first strategy being used to implement strategy control; and sending the first AI strategy model to the first node based on the second information.

[0009] According to a fourth aspect of the present disclosure, a first node is provided, comprising: a first transceiver module configured to receive first information from a second node, the first information being used to request the first node to provide a first policy associated with a terminal, the first policy being used to implement policy control of the terminal; a first processing module configured to determine or generate a first AI policy model associated with the terminal based on the first information; the first processing module configured to generate the first policy based on the first AI policy model; and the first transceiver module configured to send the first policy to the second node.

[0010] According to a fifth aspect of the present disclosure, a second node is provided, comprising: a second transceiver module configured to send first information to a first node, the first information being used to request the first node to provide a first policy associated with a terminal, the first policy being used to implement policy control, the first policy being generated by the first node based on a first AI policy model associated with the terminal, the first AI policy model being determined or generated by the first node based on the first information; and a second transceiver module configured to receive the first policy sent by the first node.

[0011] According to a sixth aspect of the present disclosure, a third node is proposed, comprising: a third transceiver module configured to receive second information sent by a first node based on first information, the second information being used to request the third node to provide a first AI strategy model, the first information being used to request the first node to provide a first strategy associated with a terminal, the first strategy being used to implement strategy control; and the third transceiver module configured to send the first AI strategy model to the first node based on the second information.

[0012] According to a seventh aspect of the embodiments of this disclosure, a communication device is provided for performing a communication method as described in any of the first to third aspects.

[0013] According to an eighth aspect of the present disclosure, a communication system is proposed, including a first node, a second node, and a third node; the first node is configured to implement the communication method as described in the first aspect; the second node is configured to implement the communication method as described in the second aspect; and the third node is configured to implement the communication method as described in the third aspect.

[0014] According to a ninth aspect of the present disclosure, a storage medium is provided that stores instructions which, when executed on a communication device, cause the communication device to perform a communication method as described in any of the first to third aspects.

[0015] According to a tenth aspect of the present disclosure, a program product is provided, comprising at least one of a program and instructions, wherein when the program and instructions are executed by a communication device, they implement a communication method as described in any of the first to third aspects.

[0016] According to an eleventh aspect of the present disclosure, a computer program is provided, the computer program including code that, when executed by a processor, implements the communication method of any one of the first to third aspects.

[0017] According to a twelfth aspect of the present disclosure, a chip or chip system is provided, the chip or chip system including processing circuitry configured to perform a communication method as described in any of the first to third aspects.

[0018] In this embodiment of the disclosure, the first node determines or generates a first AI policy model associated with the terminal based on first information from the second node requesting the first node to provide a first policy associated with the terminal. Then, based on the first AI policy model, a first policy is generated, and finally, the first policy is sent to the second node. Since the first AI policy model is determined based on the first information, i.e., the first AI policy model is associated with the terminal, the first policy generated by the first node can meet the requirements of the terminal, facilitating policy control by the terminal based on the first policy.

[0019] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not constitute a limitation on the embodiments of this disclosure. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0021] Figure 1A is a schematic diagram of an architecture of a communication system provided according to an embodiment of the present disclosure.

[0022] Figure 1B is a schematic diagram of the architecture of one implementation of a communication system provided according to an embodiment of the present disclosure.

[0023] Figure 1C is an interactive schematic diagram of a PDU session establishment process provided according to an embodiment of the present disclosure.

[0024] Figure 2A is an interactive schematic diagram of a communication method provided according to an embodiment of the present disclosure.

[0025] Figure 2B is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure.

[0026] Figure 2C is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure.

[0027] Figure 3A is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure.

[0028] Figure 3B is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure.

[0029] Figure 4 is an interactive schematic diagram of a communication method provided according to an embodiment of the present disclosure.

[0030] Figure 5A is a schematic diagram of a first node provided according to an embodiment of the present disclosure.

[0031] Figure 5B is a schematic diagram of a structure of a second node provided according to an embodiment of the present disclosure.

[0032] Figure 5C is a schematic diagram of a third node provided according to an embodiment of the present disclosure.

[0033] Figure 6A is a schematic diagram of a communication device 6100 provided according to an embodiment of the present disclosure.

[0034] Figure 6B is a schematic diagram of a chip 6200 provided according to an embodiment of the present disclosure. Detailed Implementation

[0035] This disclosure provides a communication method, communication device, communication system, storage medium, and program product.

[0036] In a first aspect, embodiments of this disclosure propose a communication method executed by a first node. The method includes: receiving first information from a second node, the first information being used to request the first node to provide a first policy associated with a terminal, the first policy being used to implement policy control of the terminal; determining or generating a first AI policy model associated with the terminal based on the first information; generating the first policy based on the first AI policy model; and sending the first policy to the second node.

[0037] In this embodiment, the first node determines or generates a first AI policy model associated with the terminal based on first information from the second node requesting the first node to provide a first policy associated with the terminal. Then, based on the first AI policy model, it generates a first policy and finally sends the first policy to the second node. Since the first AI policy model is determined based on the first information, i.e., the first AI policy model is associated with the terminal, the first policy generated by the first node can meet the requirements of the terminal, facilitating policy control by the terminal based on the first policy.

[0038] In some embodiments, the communication method further includes at least one of the following: sending a first AI strategy model to a second node or terminal; sending identification information of the first AI strategy model to the second node or terminal.

[0039] In some embodiments, generating a first AI strategy model associated with a terminal based on first information includes: generating the first AI strategy model based on the first information and according to the first data associated with the terminal.

[0040] In some embodiments, the first data includes at least one of the following: historical data of the terminal; contract data of the terminal; application data associated with the terminal; and big data analytics data associated with the terminal.

[0041] In some embodiments, the first AI strategy model is at least one of at least one second AI strategy model, and the at least one second AI strategy model is stored locally on a first node and / or on a third node, where the third node is the storage node for the AI ​​strategy model; wherein, different second AI strategy models are associated with different terminals.

[0042] In some embodiments, the communication method further includes: sending second information to a third node based on first information, the second information being used to request the third node to provide a first AI strategy model; and receiving the first AI strategy model sent by the third node based on the second information.

[0043] In some embodiments, the second AI policy model is generated by the first node and / or the fourth node, where the fourth node is the training node for the AI ​​policy model.

[0044] In some embodiments, the first information is used to indicate at least one of the following: a contracted permanent identifier for identifying the terminal; and identification information of a first AI strategy model.

[0045] In some embodiments, the first policy includes at least one of the following: protocol data unit session policy; user routing policy; policy control and charging rules; access and mobility management policy; and session management policy.

[0046] Secondly, this disclosure provides a communication method executed by a second node. The method includes: sending first information to a first node, the first information being used to request the first node to provide a first policy associated with a terminal, the first policy being used to implement policy control, the first policy being generated by the first node based on a first AI policy model associated with the terminal, the first AI policy model being determined or generated by the first node based on the first information; and receiving the first policy sent by the first node.

[0047] In this embodiment, the second node sends first information to the first node requesting the first node to provide a first policy associated with the terminal. This allows the first node to determine or generate a first AI policy model associated with the terminal based on the first information, then generate a first policy based on the first AI policy model, and send the first policy to the second node. Finally, the second node receives the first policy sent by the first node. Since the first AI policy model is determined based on the first information, i.e., the first AI policy model is associated with the terminal, the first policy received by the second node meets the requirements of the terminal, facilitating policy control by the terminal based on the first policy.

[0048] In some embodiments, the above communication method further includes at least one of the following: receiving a first AI strategy model sent by a first node; receiving identification information of the first AI strategy model sent by the first node.

[0049] In some embodiments, the first AI strategy model is generated by the first node based on the first information and the first data associated with the terminal.

[0050] In some embodiments, the first data includes at least one of the following: historical data of the terminal; contract data of the terminal; application data associated with the terminal; and big data analytics data associated with the terminal.

[0051] In some embodiments, the first AI strategy model is at least one of at least one second AI strategy model, and the at least one second AI strategy model is stored locally on a first node and / or on a third node, where the third node is the storage node for the AI ​​strategy model; wherein, different second AI strategy models are associated with different terminals.

[0052] In some embodiments, the second AI policy model is generated by the first node and / or the fourth node, where the fourth node is the training node for the AI ​​policy model.

[0053] In some embodiments, the first information is used to indicate at least one of the following: a contracted permanent identifier for identifying the terminal; and identification information of a first AI strategy model.

[0054] In some embodiments, the first policy includes at least one of the following: protocol data unit session policy; user routing policy; policy control and charging rules; access and mobility management policy; and session management policy.

[0055] In some embodiments, the communication method further includes: receiving third information from a terminal; the third information is used to request one of the following: establishing a protocol data unit session; modifying a protocol data unit session; or registering.

[0056] In some embodiments, the above communication method further includes: sending response information of third information to the terminal.

[0057] Thirdly, this disclosure proposes a communication method executed by a third node, the method comprising: receiving second information sent by a first node based on first information, the second information being used to request the third node to provide a first AI strategy model, the first information being used to request the first node to provide a first strategy associated with the terminal, the first strategy being used to implement strategy control; and sending the first AI strategy model to the first node based on the second information.

[0058] In some embodiments, the third node determines the first AI strategy model based on the second information from the first node for requesting the third node to provide the first AI strategy model, and sends the first AI strategy model to the first node. Since the first AI strategy model is determined based on the second information, that is, the first AI strategy model is associated with the terminal, the first strategy determined based on the first AI strategy model can meet the requirements of the terminal and facilitate the terminal to implement strategy control.

[0059] In some embodiments, the first information is used to indicate at least one of the following: a contracted permanent identifier for identifying the terminal; and identification information of a first AI strategy model.

[0060] In some embodiments, the first policy includes at least one of the following: protocol data unit session policy; user routing policy; policy control and charging rules; access and mobility management policy; and session management policy.

[0061] Fourthly, embodiments of this disclosure propose a first node, comprising: a first transceiver module configured to receive first information from a second node, the first information being used to request the first node to provide a first policy associated with a terminal, the first policy being used to implement policy control of the terminal; a first processing module configured to determine or generate a first AI policy model associated with the terminal based on the first information; the first processing module configured to generate the first policy based on the first AI policy model; and the first transceiver module configured to send the first policy to the second node.

[0062] In some embodiments, the first transceiver module is further configured to perform at least one of the following: sending a first AI strategy model to a second node or terminal; sending identification information of the first AI strategy model to the second node or terminal.

[0063] In some embodiments, the first processing module is further configured to generate a first AI strategy model based on the first information and the first data associated with the terminal.

[0064] In some embodiments, the first data includes at least one of the following: historical data of the terminal; contract data of the terminal; application data associated with the terminal; and big data analytics data associated with the terminal.

[0065] In some embodiments, the first AI strategy model is at least one of at least one second AI strategy model, and the at least one second AI strategy model is stored locally on a first node and / or on a third node, where the third node is the storage node for the AI ​​strategy model; wherein, different second AI strategy models are associated with different terminals.

[0066] In some embodiments, the first transceiver module is further configured to: send second information to the third node based on the first information, the second information being used to request the third node to provide a first AI strategy model; the first transceiver module is further configured to: receive the first AI strategy model sent by the third node based on the second information.

[0067] In some embodiments, the second AI policy model is generated by the first node and / or the fourth node, where the fourth node is the training node for the AI ​​policy model.

[0068] In some embodiments, the first information is used to indicate at least one of the following: a contracted permanent identifier for identifying the terminal; and identification information of a first AI strategy model.

[0069] In some embodiments, the first policy includes at least one of the following: protocol data unit session policy; user routing policy; policy control and charging rules; access and mobility management policy; and session management policy.

[0070] Fifthly, this disclosure provides a second node, comprising: a second transceiver module configured to send first information to a first node, the first information being used to request the first node to provide a first policy associated with a terminal, the first policy being used to implement policy control, the first policy being generated by the first node based on a first AI policy model associated with the terminal, the first AI policy model being determined or generated by the first node based on the first information; and a second transceiver module configured to receive the first policy sent by the first node.

[0071] In some embodiments, the second transceiver module is further configured to perform at least one of the following: receiving a first AI strategy model sent by the first node; receiving identification information of the first AI strategy model sent by the first node.

[0072] In some embodiments, the first AI strategy model is generated by the first node based on the first information and the first data associated with the terminal.

[0073] In some embodiments, the first data includes at least one of the following: historical data of the terminal; contract data of the terminal; application data associated with the terminal; and big data analytics data associated with the terminal.

[0074] In some embodiments, the first AI strategy model is at least one of at least one second AI strategy model, and the at least one second AI strategy model is stored locally on a first node and / or on a third node, where the third node is the storage node for the AI ​​strategy model; wherein, different second AI strategy models are associated with different terminals.

[0075] In some embodiments, the second AI policy model is generated by the first node and / or the fourth node, where the fourth node is the training node for the AI ​​policy model.

[0076] In some embodiments, the first information is used to indicate at least one of the following: a contracted permanent identifier for identifying the terminal; and identification information of a first AI strategy model.

[0077] In some embodiments, the first policy includes at least one of the following: protocol data unit session policy; user routing policy; policy control and charging rules; access and mobility management policy; and session management policy.

[0078] In some embodiments, the second transceiver module is further configured to: receive third information from the terminal; the third information is used to request one of the following: establish a protocol data unit session; modify the protocol data unit session; or register.

[0079] In some embodiments, the second transceiver module is further configured to send response information of third information to the terminal.

[0080] In a sixth aspect, embodiments of this disclosure propose a third node, comprising: a third transceiver module configured to receive second information sent by a first node based on first information, the second information being used to request the third node to provide a first AI strategy model, the first information being used to request the first node to provide a first strategy associated with the terminal, the first strategy being used to implement strategy control; and the third transceiver module configured to send the first AI strategy model to the first node based on the second information.

[0081] In some embodiments, the first information is used to indicate at least one of the following: a contracted permanent identifier for identifying the terminal; and identification information of a first AI strategy model.

[0082] In some embodiments, the first policy includes at least one of the following: protocol data unit session policy; user routing policy; policy control and charging rules; access and mobility management policy; and session management policy.

[0083] In a seventh aspect, embodiments of this disclosure provide a communication device. The communication device is used to perform the communication methods described in the first to third aspects and their possible implementations.

[0084] Eighthly, embodiments of this disclosure provide a communication system including a first node, a second node, and a third node; the first node is configured to implement the communication method as described in the first aspect and its possible embodiments; the second node is configured to implement the communication method as described in the second aspect and its possible embodiments; and the third node is configured to implement the communication method as described in the third aspect and its possible embodiments.

[0085] In a ninth aspect, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the communication method as described in the first to third aspects and their possible implementations.

[0086] In a tenth aspect, embodiments of this disclosure provide a program product including at least one of a program and instructions, wherein when the program and instructions are executed by a communication device, they implement the communication method as described in the first to third aspects and their possible implementations.

[0087] Eleventhly, embodiments of this disclosure provide a computer program including code that, when executed by a processor, implements the communication methods described in the first to third aspects and their possible implementations.

[0088] In a twelfth aspect, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the communication methods described in the first to third aspects and their possible implementations.

[0089] It is understood that the aforementioned first node, second node, third node, communication device, communication system, storage medium, computer program product, computer program, chip, or chip system are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0090] This disclosure provides a communication method, communication device, communication system, storage medium, and program product. In some embodiments, terms such as communication method, policy control method based on UE AI policy model, policy determination method, UE policy determination method, information processing method, and information transmission method can be used interchangeably. Terms such as first node, second node, third node, communication device, policy control device based on UE AI policy model, policy determination device, UE policy determination device, information processing device, and information transmission device can be used interchangeably. Terms such as information processing system, communication system, policy control system based on UE AI policy model, policy determination system, and UE policy determination system can be used interchangeably.

[0091] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments. In all embodiments of this disclosure, unless otherwise specified or logically conflicting, the terminology and / or descriptions between the embodiments are consistent and can be mutually referenced. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0092] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0093] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0094] In the embodiments of this disclosure, "multiple" refers to two or more.

[0095] In some embodiments, the terms “at least one of A or B, at least one of A and B”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0096] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0097] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0098] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0099] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0100] In some embodiments, terms such as "time / frequency" and "time-frequency domain" refer to the time domain and / or frequency domain.

[0101] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0102] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0103] In some embodiments, devices, etc., can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as “device”, “equipment”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.

[0104] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0105] In some embodiments, the terms "access network device (AN device)," "radio access network device (RAN device)," "base station (BS)," "radio base station," "fixed station," "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "antenna panel," "antenna array," "cell," "macro cell," "small cell," "femto cell," "pico cell," "sector," "cell group," "serving cell," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0106] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", "subscriber station", "mobile unit", "subscriber unit", "wireless unit", "remote unit", "mobile device", "wireless device", "wireless communication device", "remote device", "mobile subscriber station", "access terminal", "mobile terminal", "wireless terminal", "remote terminal", "handset", "user agent", "mobile client", and "client" can be used interchangeably.

[0107] In some embodiments, access network devices, core network devices, or network devices can be replaced by terminals. For example, embodiments of this disclosure can also be applied to structures where communication between access network devices, core network devices, or network devices and terminals is replaced by communication between multiple terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has all or part of the functions of the access network device. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel, and uplink link, downlink, etc., can be replaced with sidelink link.

[0108] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0109] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0110] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0111] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0112] Figure 1A is a schematic diagram of an architecture of a communication system provided according to an embodiment of the present disclosure. As shown in Figure 1A, the communication system 100 includes: a first node 101, a second node 102, a third node 103, a fourth node 104, and a fifth node 105.

[0113] In some embodiments, the first node is used to provide a policy control function (PCF).

[0114] In some embodiments, the first node is used to obtain a policy request.

[0115] In some embodiments, the first node is used to determine a first policy associated with the terminal based on a policy request.

[0116] In some embodiments, the first node is used to determine the first AI policy model associated with the terminal based on a policy request.

[0117] In some embodiments, the first node is used to generate a first AI policy model associated with the terminal based on a policy request. In some embodiments, the first node is used to generate the first AI policy model based on first data associated with the terminal, based on a policy request. In one example, the first AI policy model may be generated by the first node. In another example, the first AI policy model may be generated by a training node of the AI ​​policy model.

[0118] In some embodiments, the first data may include at least one of the following: historical data of the terminal, contract data of the terminal, application data associated with the terminal, and big data analytics data associated with the terminal.

[0119] In some embodiments, the first node is used to send the first AI policy model to the node or terminal that requests the policy.

[0120] In some embodiments, the first node is used to send the identification information of the first AI strategy model to the node or terminal requesting the strategy.

[0121] In some embodiments, the first node is used to send the first AI strategy model and the identification information of the first AI strategy model to the node or terminal requesting the strategy.

[0122] In some embodiments, the first node is used to determine a first AI policy model from at least one second AI policy model based on a policy request. In one example, the second AI policy model may be trained by the first node. In another example, the second AI policy model may be trained by a training node of the AI ​​policy model.

[0123] In some embodiments, the first node is used to generate a first policy based on a first AI policy model.

[0124] In some embodiments, the first node is used to send the generated first policy to the node that requested the policy.

[0125] In some embodiments, the name of the first node is not limited, and may be, for example, “PCF”, “Policy Control Function Node”, “Policy Providing Node”, “Policy Providing Node”, “AI Enabled Policy Control Function Node”, etc.

[0126] In some embodiments, the second node is used to request the first node to provide a strategy.

[0127] In some embodiments, the second node is used to establish a data connection with the first node.

[0128] In some embodiments, the second node is used to send a policy request to the first node.

[0129] In some embodiments, the second node is used to obtain a first policy generated based on a first AI policy model.

[0130] In some embodiments, the name of the second node is not limited, and may be, for example, "request node", "initiating node", "policy request node", "AI inference request node", "model inference request node", "access and mobility management function (AMF)", "session management function (SMF)", etc.

[0131] In some embodiments, the third node is used to store the AI ​​strategy model. In some embodiments, the third node is a storage node for the AI ​​strategy model.

[0132] In some embodiments, the third node is used to provide the first AI strategy model to the first node.

[0133] In some embodiments, the third node is configured to determine the first AI strategy model from at least one second AI strategy model stored in its own memory, and send the first AI strategy model to the first node.

[0134] In some embodiments, the name of the third node is not limited, and may be, for example, "AI storage node", "AI storage network function", "AI storage NF", "AI strategy model storage node", "model storage node", "analytics data repository function (ADRF)", "dedicated model storage node", "network data analytics function (NWDAF)", etc.

[0135] In some embodiments, the fourth node is used to train the AI ​​policy model. In some embodiments, the fourth node is a training node for the AI ​​policy model. In some embodiments, the fourth node trains the AI ​​policy model based on training data.

[0136] In some embodiments, the fourth node can be used to train a second AI policy model and store the second AI policy model to the third node and / or the first node. In some embodiments, the fourth node can train the second AI policy model based on training data.

[0137] In some embodiments, the training data may come from at least one of unified data management (UDM), unified data repository (UDR), application function (AF), NWDAF, ADRF, or other NF. In some embodiments, the training data may be historical data associated with the terminal.

[0138] In some embodiments, the name of the fourth node is not limited, and may be, for example, “model training node”, “AI training node”, “AI training network function”, “AI training NF”, “AI policy model training node”, “NWDAF”, etc.

[0139] In some embodiments, the fifth node is used to request the establishment of a protocol data unit (PDU) session with the second node. In one example, the fifth node is used to request the establishment of a PDU session with the SMF.

[0140] In some embodiments, the fifth node is used to modify the PDU session with the second node. In one example, the fifth node is used to request modification of the PDU session with the SMF.

[0141] In some embodiments, the fifth node is used to register with the second node. In one example, the fifth node is used to register with the AMF.

[0142] In some embodiments, the name of the fifth node is not limited, and may be, for example, "request node", "request to establish PDU session node", "request to modify PDU session node", "registration node", "terminal", etc.

[0143] In some embodiments, the first, third, and fourth nodes may be core network equipment, access network equipment (such as RAN), etc. In some embodiments, the second node may be a terminal, access network equipment, core network equipment, etc. In some embodiments, the fifth node may be a terminal.

[0144] In some embodiments, the first node, second node, third node and fourth node described above may be deployed in one device or in multiple devices, each device having the functions of one or more of the above nodes.

[0145] In one example, the first node is PCF. In some embodiments, PCF supports artificial intelligence (AI). In some embodiments, the AI ​​functionality of PCF is enabled.

[0146] In one example, the second node is AMF. In another example, the second node is SMF.

[0147] In one example, the third node is the AI ​​storage NF.

[0148] In one example, the fourth node is AI training NF.

[0149] In one example, the fifth node is the terminal.

[0150] In some embodiments, the terminal includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0151] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The network device may include at least one of the following: evolved NodeB (eNB), next-generation eNB (ng-eNB), next-generation NodeB (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), wireless backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system, but is not limited thereto.

[0152] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0153] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0154] In some embodiments, a core network device may be a single device comprising one or more network elements, or it may be multiple devices or a group of devices, each comprising one or more network elements. Network elements may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), or a Next Generation Core (NGC).

[0155] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0156] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1A, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1A are illustrative. The communication system may include all or some of the main bodies in FIG1A, or it may include other main bodies outside of FIG1A. The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0157] Figure 1B is a schematic diagram of the architecture of one implementation of a communication system provided according to an embodiment of the present disclosure. As shown in Figure 1B, the architecture of the 5G communication system is presented in a service-based interface manner.

[0158] N5 is the service-based interface provided by AF. N23 is the service-based interface provided by NWDAF. N36 is the service-based interface provided by UDR. N30 is the anchor point between NEF and PCF. N29 is the anchor point between Network Exposure Function (NEF) and SMF. N28 is the anchor point between CHF and PCF. N40 is the anchor point between CHF and SMF. N15 is the anchor point between PCF and AMF. N7 is the anchor point between PCF and SMF. N4 is the anchor point between SMF and User Plane Function (UPF).

[0159] In one example, PCF can determine the AI ​​policy model for terminal 1. In another example, PCF can determine the AI ​​policy model for terminal 2.

[0160] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0161] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1A, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1A are illustrative. The communication system may include all or some of the main bodies in FIG1A, or it may include other main bodies outside of FIG1A. The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0162] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), new radio (NR), new radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, and Ultra-Wideband. Band (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0163] The following is an explanation and interpretation of the terminology used in this disclosure.

[0164] I. Introduction to International Mobile Telecommunications (IMT) 2030

[0165] The use cases for IMT-2030 are envisioned as building upon the use cases of IMT-2020, which extend the enhanced mobile broadband (eMBB), ultra-reliable and low-latency communication (URLLC), and massive machine-type communication (mMTC) introduced in Recommendation ITU-R M.2083 to a wider range of applications requiring evolution and new capabilities. In addition to the expanded use cases of IMT-2020, IMT-2030 also envisions enabling new use cases arising from functions such as artificial intelligence and sensing, which were not supported by previous generations of IMT designs.

[0166] In some embodiments, the use cases of IMT-2030 may include: artificial intelligence and communication.

[0167] In some embodiments, the use cases of artificial intelligence and communications will support distributed computing and artificial intelligence applications. Typical application examples may include IMT-2030 assisted autonomous driving, autonomous collaboration between devices for medical assistance applications, offloading heavy computational operations across devices and networks, and the creation and prediction of digital twins.

[0168] In some embodiments, the AI ​​and communications use case will support high regional traffic capacity and user experience with data rates, low latency, and high reliability, depending on the specific application scenario. In addition to communications, this use case is expected to include a set of new capabilities related to integrating AI and computing functions into IMT-2030, including data acquisition, preparation, and processing from diverse sources; distributed AI model training; model sharing and distributed inference across IMT systems; and computational resource orchestration and linking.

[0169] In some embodiments, IMT-2030 is expected to provide enhanced capabilities compared to those described for IMT-2020 in ITU-R Recommendation M.2083, as well as new capabilities to support expanded use cases for IMT-2030. Furthermore, each capability may have different relevance and applicability in different use cases.

[0170] In some embodiments, the functionality of IMT-2030 may include:

[0171] 1. Applicable AI-related capabilities

[0172] Applicable AI-related capabilities can refer to the ability to provide certain functions throughout IMT-2030 to support artificial intelligence applications. These functions include distributed data processing, distributed learning, AI computing, AI model execution, and AI model inference.

[0173] 2. Interoperability

[0174] Interoperability can refer to the ability of radio interfaces to enable functionality between different entities in a system, based on member inclusion and transparency.

[0175] II. Introduction to the PDU Session Establishment Process

[0176] The PDU session establishment process is a key function in a communication system, enabling user equipment to establish a connection to the data network.

[0177] Figure 1C is an interactive schematic diagram of a PDU session establishment process according to an embodiment of the present disclosure. As shown in Figure 1C, the PDU session establishment process requested by a terminal (such as a user equipment) for non-roaming and roaming with local exit may include the following steps:

[0178] In step S101, the UE sends a PDU session establishment request to the AMF.

[0179] In some embodiments, a PDU session establishment request may include: a NAS message (e.g., S-NSSAI(s), [Alternative S-NSSAI]), the DNN requested by the UE, the PDU session ID, the request type, the old PDU session ID, and an N1SM container (PDU session establishment request, [Port Management Information Container]). In some embodiments, in order to establish a new PDU session, the UE generates identification information for the new PDU session (e.g., the ID of the new PDU session).

[0180] In some embodiments, if an arrow in the interaction diagram representing the transmission of information, signaling, etc., from one subject to another passes through other subjects, it can be interpreted as the transmission from one subject to another via other subjects, or as the transmission from one subject to another without passing through other subjects. For example, step S101 can be interpreted as the transmission from the UE to the AMF via (R)AN, or as the transmission from the UE to the AMF without passing through (R)AN.

[0181] In step S102, AMF selects SMF.

[0182] In step S103, the AMF sends a PDU session establishment request to the SMF.

[0183] In one example, the PDU session establishment request sent by the AMF can be: Nsmf_PDU Session_CreateSMContext Request.

[0184] In step S104, the SMF retrieves / updates the subscription from the UDM subscription.

[0185] In some embodiments, if the session management subscription data for the corresponding SUPI, DNN, and S-NSSAI of HPLMMN is unavailable, the SMF retrieves the session management subscription data.

[0186] In step S105, the SMF sends a PDU session establishment response to the AMF.

[0187] In one example, the PDU session establishment response sent by SMF can be: Nsmf_PDU Session_CreateSMContext Response.

[0188] In step S106, PDU session authentication / authorization is performed.

[0189] In step S107, PCF is selected.

[0190] In step S108, the SM policy association is established or the SM policy association is modified by the SMF.

[0191] In some embodiments, if a dynamic PCC will be used for a PDU session, the SMF performs PCF selection. In some embodiments, if the request type indicates "existing PDU session" or "existing urgent PDU session", the SMF will use the PCF already selected for the PDU session.

[0192] In some embodiments, the SMF can perform an SM policy association establishment process to establish an SM policy association with the PCF and obtain the default PCC rules for the PDU session.

[0193] In some embodiments, the PCF uses service information received from the AF (e.g., SDP information or other available application information) and / or subscription information received from the UDR to calculate the appropriate QoS grant (e.g., QoS category identifier, bit rate).

[0194] In some embodiments, the PCF may also receive requested QoS from the SMF and analytical information (e.g., analysis related to “service experience”) from the NWDAF.

[0195] In step S109, SMF selects UPF.

[0196] In some embodiments, the SMF selects one or more UPFs as needed.

[0197] In step S110, SMF initiates SM policy association modification.

[0198] In some embodiments, the SMF can execute an SMF-initiated SM policy association modification process to provide information about policy control request triggering conditions that have been met.

[0199] In step S111, the SMF sends an N4 session establishment / modification request to the UPF.

[0200] In step S112, the UPF sends an N4 session establishment / modification response to the SMF.

[0201] In some embodiments, if the request type indicates "Initial Request", the SMF initiates an N4 session establishment procedure with the selected UPF; otherwise, it initiates an N4 session modification procedure with the selected UPF. In some embodiments, the UPF confirms this by sending an N4 session establishment / modification response.

[0202] In step S113, the SMF sends a Namf_Communication_N1 N2 Message Transfer to the AMF.

[0203] In step S114, the AMF sends an N2PDU session request (e.g., a NAS message) to the (R)AN.

[0204] In some embodiments, if N2SM information is not included in step S113, the N2 downlink NAS is used to transmit messages.

[0205] In step S115, AN-specific resource settings (accepting PDU session establishment).

[0206] In some embodiments, from (R)AN to UE: The (R)AN may publish a specific signaling exchange with the UE, which is related to information received from the SMF. In one example, in the case of NG-RAN, RRC connection reconfiguration may occur as the UE establishes the necessary NG-RAN resources related to the QoS rules of the PDU session request received in step S114.

[0207] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0208] In step S116, (R)AN sends an N2PDU session response to AMF.

[0209] In some embodiments, the N2PDU session response from (R)AN to AMF may include: PDU session ID, reason, N2SM information (PDU session ID, AN tunnel information, accepted / rejected QFI list, user plane enforcement policy notification, TL container, established QoS flow status (active / inactive) (for one of the following: congestion information monitoring, ECN tag of PSA UPF l4, ECN tag of NG-RAN l4, processing support indication based on PDU set)).

[0210] In step S117, the AMF sends an Nsmf_PDU Session_UpdateSMContext Request to the SMF.

[0211] In some embodiments, the Nsmf_PDU Session_UpdateSMContext request may include at least one of the following: SMS context ID, N2 SMS information, and request type. In some embodiments, if the list of rejected QFIs is included in the N2SM information, the SMF will release the QoS profile associated with the rejected QFI.

[0212] In step S118, the SMF sends an N4 session modification request to the UPF.

[0213] In some embodiments, the SMF provides the UPF with tunnel information and corresponding forwarding rules.

[0214] In step S119, the UPF sends an N4 session modification response to the SMF.

[0215] In step S120, registration is performed.

[0216] In step S121, the SMF sends an Nsmf_PDU Session_UpdateSMContext Response to the AMF.

[0217] In step S122, the SMF sends Nsmf_PDU Session_SMContextStatusNotify to the AMF.

[0218] In some embodiments, if the PDU session establishment fails at any time after step S105 during this process, the SMF notifies the AMF by calling Nsmf_PDU Session_SMContextStatusNotify(Release). In some embodiments, the SMF also releases the created N4 session, the assigned PDU session address (e.g., IP address), and releases the association with the PCF (if any). In this case, step S123 is skipped.

[0219] In step S123, the IPv6 address is configured.

[0220] In some embodiments, from SMF to UE: when the PDU session type is IPv6 or IPv4v6, the SMF generates an IPv6 router advertisement and sends it to the UE.

[0221] In step S124, SMF initiates SM policy association modification.

[0222] In some embodiments, when a trigger for the availability of 5GS bridge / router information is configured, the SMF can initiate SM policy association modifications.

[0223] In step S125, SMF is unsubscribed.

[0224] In some embodiments, if the PDU session establishment fails after step S104, the SMF should perform an unsubscribe to modify the session management subscription data (e.g., SUPI, DNN, S-NSSAI of HPLMN).

[0225] III. Introduction to Policy and Charging Control (PCC) Rules

[0226] PCC rules include the information needed to implement user plane detection, policy control, and appropriate billing for service data flows.

[0227] In some embodiments, groups detected by applying PCC rules to a business data flow template can form a business data flow.

[0228] In some embodiments, there are two different types of PCC rules: dynamic PCC rules and predefined PCC rules.

[0229] In some embodiments, dynamic PCC rules can be provided to the session management function (SMF) by the policy control function (PCF).

[0230] In some embodiments, predefined PCC rules can be configured into the SMF. In some embodiments, predefined PCC rules can be referenced only by the PCF.

[0231] In some embodiments, predefined PCC rules are implemented through pre-configuration or pre-providement, thus making it impossible to flexibly update predefined PCC rules; while the generation of dynamic PCC rules requires consideration of a large number of parameters, but some parameters are optional, some are conditional, or some are missing, making it difficult to generate accurate PCC rules.

[0232] In one example, optional PCC rule parameters may include at least one of the following: quality of service flow identifier (QFI), session identifier (SID), user plane identifier (UPI), and policy control rule identifier (PCRI).

[0233] In one example, conditional PCC rule parameters may include at least one of the following: priority, mute for notification, application service provider identifier, charging method, 5G QoS identifier (5QI), QoS notification control (QNC), uplink maximum packet loss rate, and application descriptors.

[0234] In one example, the missing PCC rule parameter may include at least one of the aggregate maximum bit rate (AMBR) and the guaranteed bit rate (GBR).

[0235] This disclosure provides a communication method, communication device, communication system, storage medium, and program product. The first AI strategy model is associated with the terminal. Therefore, the first strategy generated by the first node can meet the requirements of the terminal, making it easier for the terminal to implement strategy control based on the first strategy.

[0236] Figure 2A is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure. As shown in Figure 2A, the embodiment of the present disclosure relates to a communication method executed by a communication system 100, which includes steps S2101 to S2109.

[0237] In this embodiment of the disclosure, the process of determining the first strategy for terminal association is described using the first node as PCF, the second node as AMF, the third node as AI storage NF, the fourth node as AI training NF, and the fifth node as a terminal as an example.

[0238] In step S2101, the terminal sends third information.

[0239] In some embodiments, a terminal may be a single terminal or one or more terminals in a terminal group.

[0240] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0241] In some embodiments, the AMF receives third information.

[0242] In some embodiments, "acquire," "get," "obtain," "receive," "transmit," "bidirectional transmission," and "send and / or receive" can be used interchangeably and can be interpreted as receiving from other entities, acquiring from protocols, acquiring from higher layers, obtaining through self-processing, or autonomous implementation. Protocols include, for example, at least one of the 3GPP protocol, Wi-Fi protocol, and audio and / or video protocols.

[0243] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0244] In some embodiments, the terminal transmits third information via the RAN. In some embodiments, the AMF receives third information via the RAN.

[0245] In some embodiments, the third information is used to request the establishment of a PDU session. In some embodiments, the third information is used to request the modification of a PDU session. In some embodiments, the third information is used to request registration.

[0246] In some embodiments, the terminal sends third information during the PDU session establishment procedure. In this case, the third information is used to request the establishment of a PDU session.

[0247] In some embodiments, the terminal sends third information during the PDU session modification procedure. In this case, the third information is used to request modification of the PDU session.

[0248] In some embodiments, the terminal sends third information during the registration procedure. In this case, the third information is used to request registration.

[0249] In some embodiments, the name of the third information is not limited, and it may be, for example, “PDU session establishment request information”, “PDU session modification request information”, “registration request information”, “request information”, etc.

[0250] In some embodiments, the third information may be carried in radio resource control (RRC) messages (such as PDU session establishment, PDU session modification).

[0251] In some embodiments, the third information may include at least one of a subscription permanent identifier (SUIP) and the identification information of the first AI strategy model.

[0252] In some embodiments, the terms “carrying,” “including,” and “comprising” can be used interchangeably.

[0253] In some embodiments, SUIP is used to identify the terminal. In some embodiments, AMF can determine the terminal based on SUIP.

[0254] In some embodiments, the identification information of the first AI strategy model can be used to identify the first AI strategy model. In some embodiments, the identification information of the first AI strategy model can be an identifier of the first AI strategy model (e.g., the ID of the first AI strategy model).

[0255] In some embodiments, the identification information of the first AI strategy model can be used to identify the terminal associated with the first AI strategy model. In some embodiments, the AMF can determine the terminal based on the identification information of the first AI strategy model. In some embodiments, different first AI strategy models are associated with different terminals.

[0256] In some embodiments, the third information may not carry the identification information of SUIP and / or the first AI strategy model.

[0257] In some embodiments, if the third information includes SUIP, the third information may not carry the identification information of the first AI strategy model.

[0258] In some embodiments, where the third information includes the identification information of the first AI strategy model, the third information may not carry SUIP.

[0259] In some embodiments, a first AI policy model is used to generate a first policy associated with the terminal. In some embodiments, the first policy is used to implement policy control of the terminal.

[0260] In some embodiments, the first policy includes at least one of PDU session policy, User Route Selection Policy (URSP), PCC rule, access and mobility management (AM) policy, and session management (SM) policy.

[0261] In some embodiments, PDU session policies can be used for selecting data traffic discount packages, QoS control, etc.

[0262] In some embodiments, URSP can be used to filter routing information, set routing attributes, change network traffic paths, etc.

[0263] In some embodiments, AM policies can be used for service area restrictions, wireless access method selection control, traffic discount package selection, QoS control, etc.

[0264] In some embodiments, SM policies can be used to maintain user information, maintain user status, provide personalized services, and manage permissions.

[0265] In step S2102, the AMF sends the first message.

[0266] In some embodiments, the PCF receives first information sent by the AMF, but is not limited thereto; the PCF may also receive first information sent by the SMF.

[0267] In some embodiments, the AMF triggers the sending of first information during the registration process.

[0268] In some embodiments, the SMF triggers the sending of the first message during the PDU session establishment or modification process.

[0269] In some embodiments, the first information may be carried in a first message. In some embodiments, the AMF sends a first message, which includes the first information. Optionally, the PCF receives the first message. In one example, the first message may be, for example, an AM policy control creation request message, but is not limited thereto; it may also be an AM policy control update request message, etc.

[0270] In some embodiments, the first information may be carried in a second message. In some embodiments, the SMF sends a second message, which includes the first information. Optionally, the PCF receives the second message. In one example, the second message may be, for example, an SM policy control creation request message, but is not limited thereto; it may also be an SM policy control update request message, etc.

[0271] In some embodiments, the first information is used to request a first policy associated with the terminal. In some embodiments, the first policy is used to implement policy control of the terminal.

[0272] In some embodiments, the first information is used to determine a first AI strategy model associated with the terminal. In some embodiments, the first information is used to generate a first AI strategy model associated with the terminal.

[0273] In some embodiments, the first information is used to trigger the sending of the second information to the AI ​​storage NF. In some embodiments, the second information is used to request the AI ​​storage NF to provide a first AI policy model.

[0274] In some embodiments, the first AI strategy model is at least one of at least one second AI strategy model, and the at least one second AI strategy model is stored locally in the PCF and / or in the AI ​​storage NF. In some embodiments, different second AI strategy models are associated with different terminals.

[0275] In some embodiments, the second AI policy model is trained by PCF and / or AI training NF.

[0276] In some embodiments, the name of the first information is not limited, and may be, for example, “AM policy control creation request information”, “AM policy control update request information”, “policy request information”, “first policy request information”, “request information”, etc.

[0277] In some embodiments, the first information is used to indicate at least one of the identification information of SUIP and the first AI strategy model.

[0278] In some embodiments, where the first information is used to indicate SUIP, the PCF can determine the terminal based on SUIP.

[0279] In some embodiments, when the first information is used to indicate the identification information of the first AI strategy model, the PCF can determine whether the first AI strategy model is stored locally based on the identification information of the first AI strategy model.

[0280] In some embodiments, the first information may not carry the identification information of the first AI strategy model.

[0281] In some embodiments, when the first information carries SUIP, the first information may not carry the identification information of the first AI strategy model.

[0282] In some embodiments, when the first information carries SUIP but not the identification information of the first AI strategy model, the PCF determines the terminal based on the SUIP, and then determines the first AI strategy model associated with the terminal.

[0283] In step S2103, the PCF sends the second information.

[0284] In some embodiments, the AI ​​storage NF receives second information.

[0285] In some embodiments, after receiving the first information, the PCF determines that the first AI strategy model associated with the terminal is not stored locally, and then sends the second information to the AI ​​storage NF.

[0286] In some embodiments, the second information may be carried in a third message. In some embodiments, the PCF sends a third message, which includes the second information. Optionally, the AI ​​storage NF receives the third message. In one example, the third message may be, for example, an AI policy model request message, but is not limited thereto; it could also be a first AI policy model request message, etc.

[0287] In some embodiments, the second information is used to request the AI ​​storage NF to provide a first AI strategy model. In some embodiments, after receiving the second information, the AI ​​storage NF determines the first AI strategy model from at least one second AI strategy model stored locally.

[0288] In some embodiments, the name of the second information is not limited, and it may be, for example, "AI strategy model request information", "first AI strategy model request information", "model request information", "request information", etc.

[0289] In some embodiments, the second information may include at least one of SUIP and the identification information of the first AI strategy model.

[0290] In some embodiments, when the second information includes a SUIP, the AI ​​storage NF can determine a first AI policy model associated with the terminal identified by the SUIP based on the SUIP. In one example, the AI ​​storage NF determines the first AI policy model associated with the terminal identified by the SUIP from at least one second AI policy model stored locally, based on the SUIP.

[0291] In some embodiments, when the second information includes the identification information of the first AI strategy model, the AI ​​storage NF can determine whether the first AI strategy model is stored locally based on the identification information of the first AI strategy model, and thus obtain the first AI strategy model. In one example, the AI ​​storage NF determines the first AI strategy model corresponding to the identification information of the first AI strategy model from at least one second AI strategy model stored locally, based on the identification information of the first AI strategy model.

[0292] In some embodiments, the second information may not carry the identification information of the first AI strategy model.

[0293] In some embodiments, when the second information carries SUIP, the second information may not carry the identification information of the first AI strategy model.

[0294] In some embodiments, when the second information carries SUIP but not the identification information of the first AI strategy model, the AI ​​storage NF determines the terminal based on the SUIP, and then determines the first AI strategy model associated with the terminal.

[0295] In step S2104, the AI ​​storage NF sends the first AI policy model.

[0296] In some embodiments, the PCF receives a first AI policy model.

[0297] In some embodiments, after receiving the second information, the AI ​​storage NF sends the first AI policy model to the PCF.

[0298] In step S2105, PCF sends the first AI policy model.

[0299] In some embodiments, the AMF receives a first AI policy model.

[0300] In some embodiments, the terminal receives a first AI strategy model.

[0301] In some embodiments, after receiving the first AI policy model sent by the AI ​​storage NF, the PCF sends the first policy model to the AMF.

[0302] In some embodiments, after receiving the first AI policy model sent by the AI ​​storage NF, the PCF sends the first policy model to the terminal.

[0303] In some embodiments, if step S2106 is performed, step S2105 may be omitted.

[0304] In step S2106, PCF sends the identification information of the first AI strategy model.

[0305] In some embodiments, the AMF receives identification information of a first AI policy model.

[0306] In some embodiments, the terminal receives the identification information of the first AI strategy model.

[0307] In some embodiments, after receiving the first AI policy model sent by the AI ​​storage NF, the PCF sends the identification information of the first policy model to the AMF.

[0308] In some embodiments, after receiving the first AI policy model sent by the AI ​​storage NF, the PCF sends the identification information of the first policy model to the terminal.

[0309] In some embodiments, steps S2105 and S2106 may be performed in an alternate order or simultaneously.

[0310] In some embodiments, if step S2105 is performed, step S2106 may be omitted.

[0311] In some embodiments, if the AMF and the terminal do not need to obtain the first AI strategy model and / or the identification information of the first AI strategy model, steps S2105 and S2106 can be omitted.

[0312] In step S2107, PCF generates a first policy based on the first AI policy model.

[0313] In some embodiments, after receiving the first AI policy model, the PCF generates a first policy based on the first AI policy model.

[0314] In some embodiments, the PCF performs inference on the inference data based on a first AI policy model, thereby generating a first policy.

[0315] In some embodiments, the inference data may come from at least one of UDM, UDR, AF, NWDAF, ADRF, or other NF.

[0316] In some embodiments, the PCF may send a fourth message to at least one of the UDM, UDR, AF, NWDAF, ADRF, or other NF, the fourth message being used to request inference data. In some embodiments, the PCF receives inference data sent by at least one of the UDM, UDR, AF, NWDAF, ADRF, or other NF based on the fourth message, and performs inference based on the inference data to obtain a first strategy.

[0317] In some embodiments, the name of the fourth information is not limited, and it may be, for example, "inference data request information", "data request information", "request information", etc.

[0318] In step S2108, the PCF sends the first policy.

[0319] In some embodiments, the AMF receives a first policy.

[0320] In some embodiments, after generating a first policy based on a first AI policy model, the PCF sends the first policy to the AMF.

[0321] In some embodiments, the first policy may be carried in a fourth message. In some embodiments, the PCF sends a fourth message, which includes the first policy. Optionally, the AMF receives the fourth message. In one example, the fourth message may be, for example, an AM policy control establishment response message, but is not limited thereto; it may also be an AM policy control update response message, etc.

[0322] In some embodiments, the steps performed by the AMF can also be performed by the SMF. In this case, the SMF receives the first policy.

[0323] In some embodiments, the first policy may be carried in the fifth message. In some embodiments, the PCF sends the fifth message, which includes the first policy. Optionally, the SMF receives the fifth message. In one example, the fifth message may be, for example, an SM policy control establishment response message, but is not limited thereto; it may also be an SM policy control update response message, etc.

[0324] In step S2109, the AMF sends a response message.

[0325] In some embodiments, the terminal receives response information.

[0326] In some embodiments, the response information corresponds to the third information.

[0327] In some embodiments, when the third information is used to request the establishment of a Protocol Data Unit (PDU) session, the response information is a PDU session establishment acceptance message, in which case the response information is used to indicate that the PDU session establishment is accepted.

[0328] In some embodiments, when the third information is used to request modification of the Protocol Data Unit (PDU) session, the response information is PDU session modification acceptance information, in which case the response information is used to indicate PDU session modification acceptance.

[0329] In some embodiments, when the third information is used to request registration, the response information is registration acceptance information, in which case the response information is used to indicate registration acceptance.

[0330] The communication method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2109. For example, step S2101 may be implemented as a standalone embodiment. For example, step S2102 may be implemented as a standalone embodiment. For example, step S2103 may be implemented as a standalone embodiment. For example, a combination of steps S2102, S2103, S2104, S2107, and S2108 may be implemented as a standalone embodiment. For example, steps S2102 and S2108 may be implemented as standalone embodiments. For example, a combination of steps S2103 and S2104 may be implemented as a standalone embodiment. For example, a combination of steps S2102, S2103, S2104, S2105, S2107, and S2108 may be implemented as a standalone embodiment. For example, combinations of steps S2102, S2103, S2104, S2106, S2107, and S2108 can be implemented as standalone embodiments. For example, combinations of steps S2102 to S2108 can be implemented as standalone embodiments, but are not limited thereto.

[0331] In some embodiments, steps S2105 and S2106 may be performed in an alternate order or simultaneously.

[0332] In some embodiments, steps S2101, S2105, S2106, and S2109 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0333] In some embodiments, steps S2101, S2103 to S2107, and S2109 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0334] In some embodiments, steps S2101, S2102, and S2105 to S2109 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0335] In some embodiments, steps S2101 and S2109 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0336] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0337] Figure 2B is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure. As shown in Figure 2B, the embodiment of the present disclosure relates to a communication method executed by a communication system 100, which includes steps S2201 to S2208.

[0338] In this embodiment of the disclosure, the process of determining the first strategy for terminal association is described using the first node as PCF, the second node as AMF, the third node as AI storage NF, the fourth node as AI training NF, and the fifth node as a terminal as an example.

[0339] In step S2201, the terminal sends third information.

[0340] The optional implementation of step S2201 can be found in step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0341] In step S2202, the AMF sends the first message.

[0342] The optional implementation of step S2202 can be found in step S2102 of Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0343] In step S2203, PCF determines the first AI strategy model from at least one second AI strategy model based on the first information.

[0344] In some embodiments, after receiving the first information, if the PCF has a first AI strategy model associated with the terminal stored locally, it can determine the first AI strategy model from at least one second AI strategy model stored locally. In this case, the first AI strategy model is at least one of at least one second AI strategy model.

[0345] In some embodiments, the second AI policy model is generated by PCF and / or AI training NF.

[0346] In some embodiments, when the first information is used to indicate SUIP, the PCF can determine the terminal based on SUIP, and then determine the first AI policy model associated with the terminal from at least one second AI policy model stored locally.

[0347] In some embodiments, when the first information is used to indicate the identification information of the first AI strategy model, the PCF determines the first AI strategy model corresponding to the identification information of the first AI strategy model from at least one second AI strategy model stored locally, based on the identification information of the first AI strategy model.

[0348] In some embodiments, when the first information is used to indicate the identification information of the SUIP and the first AI strategy model, the PCF can determine the terminal based on the SUIP, and determine the first AI strategy model corresponding to the identification information of the first AI strategy model from at least one second AI strategy model stored locally, based on the identification information of the first AI strategy model. Further, the PCF determines whether the first AI strategy model is associated with the terminal; if associated, then the first AI strategy model is the AI ​​strategy model capable of generating the first strategy.

[0349] In some embodiments, after receiving the first information, if the PCF does not locally store the first AI strategy model associated with the terminal, it may send a message to the AI ​​storage NF to request a second AI strategy model. Upon receiving this message, the AI ​​storage NF sends at least one second AI strategy model stored locally to the first node. Then, the PCF determines the first AI strategy model from the at least one second AI strategy model from the AI ​​storage NF. In this case, the first AI strategy model is at least one of the at least one second AI strategy model.

[0350] In some embodiments, where the first information is used to indicate SUIP, the PCF can determine the terminal based on the SUIP, and then determine the first AI policy model associated with the terminal from at least one second AI policy model from the AI ​​storage NF.

[0351] In some embodiments, when the first information is used to indicate the identification information of the first AI strategy model, the PCF determines the first AI strategy model corresponding to the identification information of the first AI strategy model from at least one second AI strategy model from the AI ​​storage NF based on the identification information of the first AI strategy model.

[0352] In some embodiments, when the first information is used to indicate the identification information of the SUIP and the first AI strategy model, the PCF can determine the terminal based on the SUIP, and determine the first AI strategy model corresponding to the identification information of the first AI strategy model from at least one second AI strategy model from the AI ​​storage NF based on the identification information of the first AI strategy model. Further, the PCF determines whether the first AI strategy model is associated with the terminal; if associated, then the first AI strategy model is the AI ​​strategy model capable of generating the first strategy.

[0353] In step S2204, PCF sends the first AI policy model.

[0354] The optional implementation of step S2204 can be found in step S2105 of Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0355] In step S2205, PCF sends the identification information of the first AI strategy model.

[0356] The optional implementation of step S2205 can be found in step S2106 of Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0357] In step S2206, PCF generates a first policy based on the first AI policy model.

[0358] The optional implementation of step S2206 can be found in step S2107 of Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0359] In step S2207, the PCF sends the first policy.

[0360] The optional implementation of step S2207 can be found in step S2108 of Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0361] In step S2208, the AMF sends a response message.

[0362] The optional implementation of step S2208 can be found in step S2109 of Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0363] The communication method involved in the embodiments of this disclosure may include at least one of steps S2201 to S2208. For example, step S2201 may be implemented as a standalone embodiment. For example, step S2202 may be implemented as a standalone embodiment. For example, a combination of steps S2202, S2203, S2206, and S2207 may be implemented as a standalone embodiment. For example, a combination of steps S2202 and S2207 may be implemented as a standalone embodiment. For example, a combination of steps S2202, S2203, S2204, S2206, and S2207 may be implemented as a standalone embodiment. For example, a combination of steps S2202, S2203, S2205, S2206, and S2207 may be implemented as a standalone embodiment, but is not limited thereto.

[0364] In some embodiments, steps S2204 and S2205 may be performed in an alternate order or simultaneously.

[0365] In some embodiments, steps S2201, S2204, S2205, and S2208 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0366] In some embodiments, steps S2201, S2203, S2204, S2205, S2206, and S2208 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0367] In some embodiments, steps S2201, S2205, and S2208 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0368] In some embodiments, steps S2201, S2204, and S2208 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0369] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0370] Figure 2C is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure. As shown in Figure 2C, the embodiment of the present disclosure relates to a communication method executed by a communication system 100, which includes steps S2301 to S2308.

[0371] In this embodiment of the disclosure, taking the first node as PCF, the second node as AMF, and the fifth node as the terminal as an example, the process of determining the first strategy for terminal association is described.

[0372] In step S2301, the terminal sends third information.

[0373] The optional implementation of step S2301 can be found in step S2101 in Figure 2A, step S2201 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0374] In step S2302, the AMF sends the first message.

[0375] The optional implementation of step S2302 can be found in step S2102 in Figure 2A, step S2202 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0376] In step S2303, PCF generates a first AI strategy model associated with the terminal based on the first information.

[0377] In some embodiments, after receiving the first information, the PCF generates a first AI strategy model associated with the terminal based on the first information and the first data associated with the terminal.

[0378] In some embodiments, after receiving the first information, if the PCF does not have a first AI strategy model associated with the terminal stored locally, it acquires the first data associated with the terminal based on the first information, and then trains the third AI strategy model based on the first data to generate the first AI strategy model. In some embodiments, the third AI strategy model may be an untrained AI strategy model associated with the terminal.

[0379] In some embodiments, the first data may include at least one of the following: historical data of the terminal, contract data of the terminal, application data associated with the terminal, and big data analytics data associated with the terminal.

[0380] In some embodiments, application data associated with the terminal can be obtained by the PCF from the AF.

[0381] In some embodiments, the big data analytics data associated with the terminal can be obtained by the PCF from the NWDAF.

[0382] In some embodiments, when the first information is used to indicate SUIP, PCF can determine the terminal based on SUIP, and then obtain the first data based on at least one of the terminal's historical data, the terminal's subscription data, the application data associated with the terminal, and the big data analysis data associated with the terminal. Then, based on the first data, the third AI strategy model is trained to generate the first AI strategy model.

[0383] In some embodiments, when the first information is used to indicate the identification information of the first AI strategy model, the PCF can determine the untrained AI strategy model associated with the terminal (denoted as the fourth AI strategy model) based on the identification information of the first AI strategy model. Then, based on the terminal in the first information, it obtains at least one of the terminal's historical data, the terminal's contract data, the terminal's associated application data, and the terminal's associated big data analysis data to obtain the first data. Finally, based on the first data, the fourth AI strategy model is trained to generate the first AI strategy model.

[0384] In some embodiments, where the first information is used to indicate the identification information of the SUIP and the first AI strategy model, the PCF can determine the terminal based on the SUIP, and then obtain the first data based on at least one of the terminal's historical data, the terminal's subscription data, the application data associated with the terminal, and the big data analysis data associated with the terminal. The PCF can then determine the fourth AI strategy model based on the identification information of the first AI strategy model. Finally, the PCF trains the fourth AI strategy model based on the first data to generate the first AI strategy model.

[0385] In step S2304, PCF sends the first AI policy model.

[0386] The optional implementation of step S2304 can be found in step S2105 in Figure 2A, step S2204 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0387] In step S2305, PCF sends the identification information of the first AI strategy model.

[0388] The optional implementation of step S2305 can be found in step S2106 in Figure 2A, step S2205 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0389] In step S2306, PCF generates a first policy based on the first AI policy model.

[0390] The optional implementation of step S2306 can be found in step S2107 in Figure 2A, step S2206 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0391] In step S2207, the PCF sends the first policy.

[0392] The optional implementation of step S2207 can be found in step S2108 in Figure 2A, step S2207 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0393] In step S2308, the AMF sends a response message.

[0394] The optional implementation of step S2308 can be found in step S2109 in Figure 2A, step S2208 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0395] The communication method involved in the embodiments of this disclosure may include at least one of steps S2301 to S2308. For example, step S2301 may be implemented as a standalone embodiment. For example, step S2302 may be implemented as a standalone embodiment. For example, a combination of steps S2302, S2303, S2306, and S2307 may be implemented as a standalone embodiment. For example, a combination of steps S2302 and S2307 may be implemented as a standalone embodiment. For example, a combination of steps S2302, S2303, S2304, S2306, and S2307 may be implemented as a standalone embodiment. For example, a combination of steps S2302, S2303, S2305, S2306, and S2307 may be implemented as a standalone embodiment, but is not limited thereto.

[0396] In some embodiments, steps S2304 and S2305 may be performed in an alternate order or simultaneously.

[0397] In some embodiments, steps S2301, S2304, S2305, and S2308 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0398] In some embodiments, steps S2301, S2303, S2304, S2305, S2306, and S2308 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0399] In some embodiments, steps S2301, S2305, and S2308 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0400] In some embodiments, steps S2301, S2304, and S2308 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0401] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0402] Figure 3A is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure. As shown in Figure 3A, the present disclosure relates to a communication method, which includes steps S3101 to S3104.

[0403] In step S3101, the second node sends the first information to the first node.

[0404] The optional implementation of step S3101 can be found in steps S2102 in Figure 2A, S2202 in Figure 2B, S2302 in Figure 2C, and other related parts in the embodiments involved in Figures 2A, 2B, and 2C, which will not be repeated here.

[0405] In some embodiments, the first information is used to indicate at least one of the following: a contracted permanent identifier for identifying the terminal; and identification information of a first AI strategy model.

[0406] In step S3102, the first node determines or generates a first AI strategy model associated with the terminal based on the first information.

[0407] The optional implementation of step S3102 can be found in steps S2103 and S2104 in Figure 2A, step S2203 in Figure 2B, step S2303 in Figure 2C, and other related parts in the embodiments involved in Figures 2A, 2B, and 2C, which will not be repeated here.

[0408] In some embodiments, the first node further performs at least one of the following: sending a first AI strategy model to a second node or terminal; sending identification information of the first AI strategy model to the second node or terminal.

[0409] In some embodiments, the first node generates a first AI strategy model associated with the terminal based on the first information, including: the first node generates the first AI strategy model based on the first information and according to the first data associated with the terminal.

[0410] In some embodiments, the first data includes at least one of the following: historical data of the terminal; contract data of the terminal; application data associated with the terminal; and big data analytics data associated with the terminal.

[0411] In some embodiments, the first AI strategy model is at least one of at least one second AI strategy model, and the at least one second AI strategy model is stored locally on a first node and / or on a third node, where the third node is the storage node for the AI ​​strategy model; wherein, different second AI strategy models are associated with different terminals.

[0412] In some embodiments, the first node sends second information to the third node based on the first information, the second information being used to request the third node to provide a first AI strategy model; the first node receives the first AI strategy model sent by the third node based on the second information.

[0413] In some embodiments, the second AI policy model is generated by the first node and / or the fourth node, where the fourth node is the training node of the AI ​​policy model or the NWDAF.

[0414] In step S3103, the first node generates a first strategy based on the first AI strategy model.

[0415] The optional implementation of step S3103 can be found in steps S2107 in Figure 2A, S2206 in Figure 2B, S2306 in Figure 2C, and other related parts in the embodiments involved in Figures 2A, 2B, and 2C, which will not be repeated here.

[0416] In some embodiments, the first policy includes at least one of the following: protocol data unit session policy; user routing policy; policy control and charging rules; access and mobility management policy; and session management policy.

[0417] In step S3104, the first node sends the first strategy to the second node.

[0418] The optional implementation of step S3104 can be found in steps S2108 in Figure 2A, S2207 in Figure 2B, S2307 in Figure 2C, and other related parts in the embodiments involved in Figures 2A, 2B, and 2C, which will not be repeated here.

[0419] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0420] Figure 3B is another interactive schematic diagram of the communication method provided according to an embodiment of the present disclosure. As shown in Figure 3B, the present disclosure relates to a communication method, which includes steps S3201 to S3202.

[0421] In step S3201, the first node sends the second information to the third node.

[0422] The optional implementation of step S3201 can be found in step S2103 of Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0423] In some embodiments, the second information is sent based on the first information. The second information is used to request the third node to provide a first AI strategy model, and the first information is used to request the first node to provide a first strategy associated with the terminal. The first strategy is used to implement strategy control.

[0424] In some embodiments, the first information is used to indicate at least one of the following: a contracted permanent identifier for identifying the terminal; and identification information of a first AI strategy model.

[0425] In some embodiments, the first policy includes at least one of the following: protocol data unit session policy; user routing policy; policy control and charging rules; access and mobility management policy; and session management policy.

[0426] In step S3202, the third node sends the first AI strategy model to the first node based on the second information.

[0427] The optional implementation of step S3202 can be found in step S2104 of Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0428] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0429] In the following, the technical solutions of the embodiments of this disclosure will be described by way of specific implementation.

[0430] Figure 4 is an interactive schematic diagram of a communication method provided according to an embodiment of the present disclosure. As shown in Figure 4, the present disclosure relates to a communication method, which may include steps S401 to S410 by way of example.

[0431] In step S401, the AI ​​policy model of one UE is trained by PCF, NWDAF, or AI model training NF.

[0432] In some embodiments, it is proposed to enhance the PCF to support the AI ​​policy model of each UE to provide policies, such as generating PCC rules for the SMF or generating URSP rules for the UE.

[0433] In some embodiments, the PCF has the following enhancements:

[0434] 1. Define an AI policy model for each UE so that PCF can generate UE policies, SM-related policies, or AM-related policies, etc.

[0435] 2. Train the UE's AI policy model by collecting data from UDM, UDR, AF, NWDAF, AMF or other NFs.

[0436] 3. Infer the UE's AI policy mode and generate policies for the UE, such as PCC rules, PDU session policies, AM-related policies, etc.

[0437] In some embodiments, training data is collected from UDM / UDR, AF, NWDAF, or other NFs. In some embodiments, historical data related to the UE is also used.

[0438] In some embodiments, the trained AI policy model is stored in PCF, AI policy model storage NF, ADRF, or NWDAF.

[0439] In step S402, the UE initiates the PDU session establishment / modification request or registration request to the AMF / SMF.

[0440] In one example, the PDU session establishment / modification request or registration request includes the AI ​​policy model ID (optionally).

[0441] In step S403, during the registration process, the AMF may trigger the sending of an AM policy control request to the PCF.

[0442] In some embodiments, the AM policy control request may include at least one of SUIP and AI policy model ID.

[0443] In step S404, during the PDU session establishment / modification procedure, the SMF may trigger to send the SM policy control request to the PCF.

[0444] In some embodiments, the SM policy control request may include at least one of SUIP and AI policy model ID.

[0445] In step S405, when the PCF receives the policy control request from the AMF / SMF, it triggers the selection of the AI ​​policy model (SUPI) for this UE.

[0446] In some embodiments, when there is no AI policy model of the UE, the PCF sends the AI ​​policy model request to the AI ​​model storage NF (e.g., ADRF, or dedicated NF) by using the SUPI, optional AI policy model ID.

[0447] In step S406, the PCF obtains the AI ​​policy model from the AI ​​model storage NF.

[0448] In step S407, the PCF generates a policy for the UE using the AI ​​policy model of the UE.

[0449] In some embodiments, the generated policy includes PCC rules, URSP rules, or AM-related policies.

[0450] In step S408, the PCF sends the AM-related policies to the AMF.

[0451] In some embodiments, AM-related policies are carried in the AM policy control create / update response. In some embodiments, the AM policy control create / update response includes the latest AI policy model ID.

[0452] In step S409, the PCF sends the SM-related policies to the SMF.

[0453] In some embodiments, the SM-related policies are carried in the SM policy control create / update response. In some embodiments, the SM policy control create / update response includes the latest AI policy model ID.

[0454] In step S410, the AMF / SMF sends a registration accept message or a PDU session establishment / modification accept message to the UE.

[0455] In some embodiments, the AMF / SMF performs the remaining steps of the PDU session establishment / modification procedure or registration procedure.

[0456] In some embodiments, the AI ​​policy model ID may be included in the registration accept message to the UE.

[0457] This disclosure also proposes an apparatus (also referred to as a communication device, etc.) for implementing any of the above methods. For example, an apparatus is proposed that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Furthermore, another apparatus is proposed that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0458] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0459] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a Neural Network Processing Unit (NPU), a Tensor Processing Unit (TPU), or a Deep Learning Processing Unit (DPU).

[0460] Figure 5A is a schematic diagram of a first node provided in an embodiment of this disclosure. The first node 5100 is used to execute any of the above methods. In some embodiments, as shown in Figure 5A, the first node 5100 may include at least one of a first transceiver module 5101, a first processing module 5102, etc. In some embodiments, the first transceiver module 5101 is used to receive first information from a second node, the first information being used to request the first node to provide a first policy associated with the terminal, the first policy being used to implement policy control of the terminal, and to send the first policy to the second node; the first processing module 5102 is used to determine or generate a first AI policy model associated with the terminal based on the first information, and to generate the first policy based on the first AI policy model. Optionally, the first transceiver module 5101 is used to execute at least one of the communication steps (e.g., steps S3101, S3104, but not limited thereto) executed by the first node 5100 in any of the above methods, which will not be described in detail here. Optionally, the first processing module 5102 described above is used to execute at least one of the other steps (such as step S3102, step S3103, but not limited thereto) executed by the first node 5100 in any of the above methods, which will not be elaborated here.

[0461] In some embodiments, the first transceiver module 5101 may include a transmitting module and / or a receiving module, which may be separate or integrated together. Optionally, the first transceiver module 5101 may be interchangeable with a transceiver.

[0462] In some embodiments, the first processing module 5102 may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module.

[0463] In some embodiments, the first processing module 5102 may be interchanged with a processor, and the first transceiver module 5101 may be interchanged with a transceiver.

[0464] Figure 5B is a schematic diagram of a second node according to an embodiment of the present disclosure. The second node 5200 is used to execute any of the above methods. In some embodiments, as shown in Figure 5B, the second node 5200 may include a second transceiver module 5201. In some embodiments, the second transceiver module 5201 is used to send first information to the first node, the first information being used to request the first node to provide a first policy associated with the terminal, the first policy being used to implement policy control, the first policy being generated by the first node based on a first AI policy model associated with the terminal, the first AI policy model being determined or generated by the first node based on the first information, and to receive the first policy sent by the first node. Optionally, the second transceiver module 5201 is used to execute at least one of the communication steps (e.g., steps S3101, S3104, but not limited thereto) executed by the second node 5200 in any of the above methods, which will not be elaborated here.

[0465] In some embodiments, the second transceiver module 5201 may include a transmitting module and / or a receiving module, which may be separate or integrated together. Optionally, the second transceiver module 5201 may be interchangeable with a transceiver.

[0466] Figure 5C is a schematic diagram of a third node according to an embodiment of the present disclosure. The third node 5300 is used to execute any of the above methods. In some embodiments, as shown in Figure 5C, the third node 5300 may include a third transceiver module 5301. In some embodiments, the third transceiver module 5301 is used to receive second information sent by the first node based on first information, the second information being used to request the third node to provide a first AI strategy model, the first information being used to request the first node to provide a first policy associated with the terminal, the first policy being used to implement policy control, and to send the first AI strategy model to the first node based on the second information. Optionally, the third transceiver module 5301 is used to execute at least one of the communication steps (e.g., steps S3201, S3202, but not limited thereto) performed by the third node 5300 in any of the above methods, which will not be described in detail here.

[0467] In some embodiments, the third transceiver module 5301 may include a transmitting module and / or a receiving module, which may be separate or integrated together. Optionally, the third transceiver module 5301 may be interchangeable with a transceiver.

[0468] Figure 6A is a schematic diagram of a communication device 6100 provided according to an embodiment of the present disclosure. The communication device 6100 can be a first node, a second node, a third node, a terminal, a chip, chip system, or processor that supports the first node in implementing any of the above methods, a chip, chip system, or processor that supports the second node in implementing any of the above methods, or a chip, chip system, or processor that supports the third node in implementing any of the above methods. The communication device 6100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0469] As shown in Figure 6A, the communication device 6100 is used to execute any of the above methods. In some embodiments, the communication device 6100 includes one or more processors 6101. The processor 6101 may be a general-purpose processor or a special-purpose processor, such as a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processing unit may be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 6100 is used to execute any of the above methods. Optionally, one or more processors 6101 are used to invoke instructions to cause the communication device 6100 to execute any of the above methods.

[0470] In some embodiments, the communication device 6100 further includes one or more transceivers 6102. When the communication device 6100 includes one or more transceivers 6102, the transceiver 6102 performs at least one of the communication steps such as sending and / or receiving in the above method (e.g., steps S3101, S3104, S3201, S3202, but not limited thereto), and the processor 6101 performs at least one of other steps (e.g., steps S3102, S3103, but not limited thereto). In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., can be used interchangeably; the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0471] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data and / or instructions. Optionally, one or more processors 6101 are used to invoke instructions stored in the memory 6103 to cause the communication device 6100 to perform any of the above methods. Optionally, all or part of the memory 6103 may also be located outside the communication device 6100. In an optional embodiment, the communication device 6100 may include one or more interface circuits 6104. Optionally, the interface circuit 6104 is connected to the memory 6102 and can be used to receive data and / or instructions from the memory 6102 or other devices, and can be used to send data and / or instructions to the memory 6102 or other devices. For example, the interface circuit 6104 can read data and / or instructions stored in the memory 6102 and send the data and / or instructions to the processor 6101.

[0472] The communication device 6100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 6100 described in this disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited by FIG. 6A. The communication device may be a standalone device or a part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data, programs and / or instructions; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0473] Figure 6B is a schematic diagram of a chip 6200 provided according to an embodiment of the present disclosure. For cases where the communication device 6100 can be a chip or a chip system, the schematic diagram of the chip 6200 shown in Figure 6B can be referred to, but is not limited thereto.

[0474] Chip 6200 includes one or more processors 6201. Chip 6200 is used to perform any of the methods described above.

[0475] In some embodiments, chip 6200 further includes one or more interface circuits 6202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 6200 further includes one or more memories 6203 for storing data and / or instructions. Optionally, all or part of the memories 6203 may be located outside of chip 6200. Optionally, interface circuit 6202 is connected to memory 6203, and interface circuit 6202 can be used to receive data and / or instructions from memory 6203 or other devices, and interface circuit 6202 can be used to send data and / or instructions to memory 6203 or other devices. For example, interface circuit 6202 can read data and / or instructions stored in memory 6203 and send the data and / or instructions to processor 6201.

[0476] In some embodiments, the interface circuit 6202 performs at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., steps S3101, S3104, S3201, and S3202, but not limited thereto). The interface circuit 6202 performing the communication steps such as sending and / or receiving in the above-described method refers, for example, to the interface circuit 6202 performing data and / or instruction interaction between the processor 6201, the chip 6200, the memory 6203, or the transceiver device. In some embodiments, the processor 6201 performs at least one of other steps (e.g., steps S3102 and S3103, but not limited thereto).

[0477] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0478] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 6100, cause the communication device to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0479] This disclosure also proposes a program product, including a program and / or instructions, which, when executed by the communication device 6100, cause the communication device to perform any of the above methods. Optionally, the program product is a computer program product. Optionally, the program product is stored on the storage medium.

[0480] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0481] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the embodiments disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0482] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A communication method, executed by a first node, the method comprising: Receive first information from the second node, the first information being used to request the first node to provide a first policy associated with the terminal, the first policy being used to implement policy control of the terminal; Based on the first information, determine or generate a first artificial intelligence (AI) strategy model associated with the terminal; The first strategy is generated based on the first AI strategy model; Send the first strategy to the second node.

2. The method of claim 1, wherein, The method further includes at least one of the following: Send the first AI strategy model to the second node or the terminal; Send the identification information of the first AI strategy model to the second node or the terminal.

3. The method of claim 1 or 2, wherein, The step of generating a first AI strategy model associated with the terminal based on the first information includes: Based on the first information, the first AI strategy model is generated according to the first data associated with the terminal.

4. The method of claim 3, wherein, The first data includes at least one of the following: The terminal's historical data; The terminal's contract data; The application data associated with the terminal; The terminal is associated with big data analytics data.

5. The method according to any one of claims 1 to 4, wherein, The first AI strategy model is at least one of at least one second AI strategy model, which is stored locally on the first node and / or on a third node, where the third node is the storage node for the AI ​​strategy model; wherein, different second AI strategy models are associated with different terminals.

6. The method according to any one of claims 1 to 5, wherein, The method further includes: Based on the first information, a second information is sent to the third node, the second information being used to request the third node to provide the first AI strategy model; Receive the first AI strategy model sent by the third node based on the second information.

7. The method of claim 5 or 6, wherein, The second AI strategy model is generated by the first node and / or the fourth node, where the fourth node is the training node for the AI ​​strategy model.

8. The method according to any one of claims 1 to 7, wherein, The first information is used to indicate at least one of the following: A permanent identifier is used to identify the terminal; The identification information of the first AI strategy model.

9. The method according to any one of claims 1 to 8, wherein, The first strategy includes at least one of the following: Protocol Data Unit Session Policy; User routing selection strategy; Policy control and billing rules; Access and mobility management policies; Session management strategy.

10. A communication method, executed by a second node, the method comprising: Send first information to the first node. The first information is used to request the first node to provide a first policy associated with the terminal. The first policy is used to implement policy control. The first policy is generated by the first node based on the first artificial intelligence (AI) policy model associated with the terminal. The first AI policy model is determined or generated by the first node based on the first information. Receive the first strategy sent by the first node.

11. The method of claim 10, wherein, The method further includes at least one of the following: Receive the first AI strategy model sent by the first node; Receive the identification information of the first AI strategy model sent by the first node.

12. The method of claim 10 or 11, wherein, The first AI strategy model is generated by the first node based on the first information and according to the first data associated with the terminal.

13. The method of claim 12, wherein, The first data includes at least one of the following: The terminal's historical data; The terminal's contract data; The application data associated with the terminal; The terminal is associated with big data analytics data.

14. The method according to any one of claims 10 to 13, wherein, The first AI strategy model is at least one of at least one second AI strategy model, which is stored locally on the first node and / or on a third node, where the third node is the storage node for the AI ​​strategy model; wherein, different second AI strategy models are associated with different terminals.

15. The method of claim 14, wherein, The second AI strategy model is generated by the first node and / or the fourth node, where the fourth node is the training node for the AI ​​strategy model.

16. The method according to any one of claims 10 to 15, wherein, The first information is used to indicate at least one of the following: A permanent identifier is used to identify the terminal; The identification information of the first AI strategy model.

17. The method according to any one of claims 10 to 16, wherein, The first strategy includes at least one of the following: Protocol Data Unit Session Policy; User routing selection strategy; Policy control and billing rules; Access and mobility management policies; Session management strategy.

18. The method of any one of claims 10 to 17, wherein, The method further includes: Receive third information from the terminal; The third piece of information is used to request one of the following: Establish a protocol data unit session; Modify protocol data unit session; register.

19. The method of claim 18, wherein, The method further includes: A response message is sent to the terminal containing the third information.

20. A communication method performed by a third node, the method comprising: The system receives second information sent by the first node based on first information. The second information is used to request the third node to provide a first artificial intelligence (AI) strategy model. The first information is used to request the first node to provide a first strategy associated with the terminal. The first strategy is used to implement strategy control. Based on the second information, the first AI strategy model is sent to the first node.

21. The method of claim 20, wherein, The first information is used to indicate at least one of the following: A permanent identifier is used to identify the terminal; The identification information of the first AI strategy model.

22. The method of claim 20 or 21, wherein, The first strategy includes at least one of the following: Protocol Data Unit Session Policy; User routing selection strategy; Policy control and billing rules; Access and mobility management policies; Session management strategy.

23. A communication device for performing the communication method according to any one of claims 1 to 9, 10 to 19, and 20 to 22.

24. A communication system comprising a first node, a second node, and a third node; The first node is configured to implement the communication method as described in any one of claims 1 to 9; the second node is configured to implement the communication method as described in any one of claims 10 to 19; and the third node is configured to implement the communication method as described in any one of claims 20 to 22.

25. A storage medium storing instructions, wherein, When the instructions are executed on the communication device, the communication device performs the communication method as described in any one of claims 1 to 9, 10 to 19, and 20 to 22.

26. A program product comprising at least one of a program and instructions, wherein the program and instructions, when executed by a communication device, implement the communication method according to any one of claims 1 to 9, 10 to 19, and 20 to 22.

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