Communication method, user equipment, communication equipment, OTT server and communication system

Abstract

The embodiment of the invention relates to a communication method, user equipment, communication equipment, an OTT server and a communication system. The communication method comprises the following steps that: user equipment (UE) transmits artificial intelligence (AI) data and / or an AI model through non-access stratum (NAS) signaling and a mobility management function (AMF); wherein the AMF transmits the AI data and / or the AI model with at least one of a top-crossing OTT server, a core network element and a core network function, the AI data and / or the AI model are / is transmitted through a control plane, and the mobile communication network can effectively control communication between the UE and the OTT server. Under the condition that the communication between the user equipment and the OTT server is not transparent to the mobile communication network (such as 3GPP), the mobile communication network has a certain control degree on the communication between the user equipment and the OTT server.

Description

Communication method, user equipment, communication equipment, OTT server and communication system Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to a communication method, user equipment, communication equipment, an OTT server, and a communication system. Background Art

[0002] With the development of mobile communication systems, artificial intelligence (AI) will be widely used in communication systems. For example, in areas such as image processing and speech recognition, an increasing number of applications based on artificial intelligence models (also known as AI models) will be deployed on terminal devices. In the fifth-generation mobile communication technology (5G) system, AI can be used for prediction and reasoning, improving system performance. Therefore, it is necessary to further improve the application mechanism of AI models in 5G systems.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide a communication method, user equipment, communication equipment, OTT server, and communication system to further improve the application mechanism of AI models in 5G systems.

[0005] In one aspect, an embodiment of the present disclosure provides a communication method, the method comprising:

[0006] The user equipment UE transmits artificial intelligence AI data and / or AI model with the mobility management function entity AMF through non-access layer NAS signaling; wherein, the AMF transmits the AI ​​data and / or AI model with at least one of: an over-the-top OTT server, a core network element, and a core network function.

[0007] On the other hand, an embodiment of the present disclosure further provides a communication method, the method comprising:

[0008] The mobility management function entity AMF transmits artificial intelligence AI data and / or AI models to the user equipment UE through NAS signaling;

[0009] and / or

[0010] The mobile management function entity AMF transmits AI data and / or AI model with at least one of the over-the-top OTT server, core network network element, and core network function.

[0011] On the other hand, an embodiment of the present disclosure further provides a communication method, the method comprising:

[0012] The over-the-top OTT server transmits artificial intelligence AI data and / or AI model to the mobile management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model to the user equipment UE through NAS signaling.

[0013] On the other hand, an embodiment of the present disclosure further provides a communication method, the method comprising:

[0014] The core network elements and / or core network functions transmit artificial intelligence AI data and / or AI models to the mobility management function entity AMF; wherein the AMF transmits the AI ​​data and / or AI model to the user equipment UE through NAS signaling.

[0015] On the other hand, an embodiment of the present disclosure further provides a user equipment UE, the UE including:

[0016] The first transmission module is used to transmit artificial intelligence AI data and / or AI model through NAS signaling and the mobile management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model with at least one of: an over-the-top OTT server, a core network network element, and a core network function.

[0017] On the other hand, an embodiment of the present disclosure further provides a communication device, wherein the communication device is a mobility management function entity AMF, and the AMF includes:

[0018] A second transmission module is configured to transmit artificial intelligence (AI) data and / or AI models to a user equipment (UE) via NAS signaling;

[0019] and / or

[0020] Transmit AI data and / or AI models with at least one of an over-the-top OTT server, a core network element, or a core network function

[0021] On the other hand, an embodiment of the present disclosure further provides an OTT server, comprising:

[0022] The third transmission module is used to transmit artificial intelligence AI data and / or AI model with the mobility management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model with the user equipment UE through NAS signaling.

[0023] On the other hand, an embodiment of the present disclosure further provides a communication device, wherein the communication device is a core network element and / or a core network function, and the communication device includes:

[0024] The fourth transmission module is used to transmit artificial intelligence AI data and / or AI model with the mobility management function entity AMF; wherein the AMF transmits the AI ​​data and / or AI model with the user equipment UE through NAS signaling.

[0025] On the other hand, an embodiment of the present disclosure further provides a user equipment UE, including:

[0026] one or more processors;

[0027] The UE is used to execute the communication method described in the embodiment of the present disclosure.

[0028] On the other hand, an embodiment of the present disclosure further provides a communication device, wherein the communication device is a mobility management function entity AMF, including:

[0029] one or more processors;

[0030] Among them, the AMF is used to execute the communication method described in the embodiment of the present disclosure.

[0031] On the other hand, an embodiment of the present disclosure further provides an OTT server, including:

[0032] one or more processors;

[0033] Among them, the OTT server is used to execute the communication method described in the embodiment of the present disclosure.

[0034] On the other hand, an embodiment of the present disclosure further provides a communication device, wherein the communication device is a core network element and / or a core network function, including:

[0035] one or more processors;

[0036] The core network elements and / or core network functions are used to implement the communication method described in the embodiments of the present disclosure.

[0037] The embodiments of the present disclosure also provide a communication system, including UE, AMF, OTT server, core network network element and / or core network function; wherein, the UE is configured to implement the communication method described in the embodiments of the present disclosure, the AMF is configured to implement the communication method described in the embodiments of the present disclosure, the core network network element and / or core network function is configured to implement the communication method described in the embodiments of the present disclosure, and the OTT server is configured to implement the communication method described in the embodiments of the present disclosure.

[0038] The embodiment of the present disclosure further provides a storage medium storing instructions. When the instructions are executed on a communication device, the communication device executes the communication method as described in the embodiment of the present disclosure.

[0039] In the embodiment of the present disclosure, the UE can transmit AI data to the OTT server, and can also receive a trained AI model from the OTT server. By transmitting AI data and / or AI models through the control plane, the mobile communication network can effectively control the communication between the UE and the OTT server. In the case where the communication between the user equipment and the OTT server is not transparent to the mobile communication network (such as 3GPP), the mobile communication network has a certain degree of control over the communication between the user equipment and the OTT server.

[0040] Additional aspects and advantages of the embodiments of the present disclosure will be given in part in the following description, which will become apparent from the following description or be learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0042] FIG1 is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure;

[0043] FIG2 is one of exemplary interaction diagrams of a method provided according to an embodiment of the present disclosure;

[0044] FIG3 is a second exemplary interaction diagram of a method provided according to an embodiment of the present disclosure;

[0045] FIG4 is a flow chart of a communication method according to an embodiment of the present disclosure;

[0046] FIG5 is a second flow chart of the communication method provided in an embodiment of the present disclosure;

[0047] FIG6 is a third flow chart of the communication method provided in an embodiment of the present disclosure;

[0048] FIG7 is a fourth flow chart of the communication method provided in an embodiment of the present disclosure;

[0049] FIG8 is a schematic structural diagram of a UE proposed in an embodiment of the present disclosure;

[0050] FIG9 is a schematic diagram of the structure of the AMF proposed in an embodiment of the present disclosure;

[0051] FIG10 is a schematic diagram of the structure of the OTT server proposed in an embodiment of the present disclosure;

[0052] FIG11 is a schematic diagram of the structure of a core network element and / or core network function proposed in an embodiment of the present disclosure;

[0053] FIG12 is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure;

[0054] FIG13 is a schematic diagram of the structure of a chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0055] The embodiments of the present disclosure provide a communication method, a user device, a communication device, an OTT server, and a communication system.

[0056] In a first aspect, an embodiment of the present disclosure provides a communication method, the method comprising:

[0057] The user equipment UE transmits artificial intelligence AI data and / or AI model with the mobility management function entity AMF through non-access layer NAS signaling; wherein, the AMF transmits the AI ​​data and / or AI model with at least one of: an over-the-top OTT server, a core network element, and a core network function.

[0058] In the above embodiment, the UE can transmit AI data to the OTT server, and can also receive a trained AI model from the OTT server. By transmitting AI data and / or AI models through the control plane, the mobile communication network can effectively control the communication between the UE and the OTT server. In the case where the communication between the user equipment and the OTT server is not transparent to the mobile communication network (such as 3GPP), the mobile communication network has a certain degree of control over the communication between the user equipment and the OTT server.

[0059] In combination with some embodiments of the first aspect, in some embodiments, the user equipment UE transmits artificial intelligence AI data and / or AI model to the mobility management function entity AMF through non-access layer NAS signaling, including:

[0060] The UE sends the AI ​​data to the AMF through first NAS signaling; wherein the AMF sends the AI ​​data to at least one of the OTT server, the core network element, and the core network function;

[0061] and / or

[0062] The UE receives the AI ​​model sent by the AMF to the UE through the second NAS signaling; wherein, the AI ​​model is obtained by the AMF from at least one of the OTT server, the core network element, and the core network function.

[0063] In the above embodiment, the AI ​​data is sent through the first NAS signaling, and the AI ​​model is received through the second NAS signaling, thereby realizing transmission of the AI ​​data and / or AI model through the control plane.

[0064] In combination with some embodiments of the first aspect, in some embodiments, the first NAS signaling includes: a UL NAS TRANSPORT message; wherein the Payload container type parameter of the UL NAS TRANSPORT message identifies that the AI ​​data is transmitted in the corresponding Payload container.

[0065] In the above embodiment, a specific implementation form of the first NAS signaling is provided.

[0066] In combination with some embodiments of the first aspect, in some embodiments, the second NAS signaling includes: a DL NAS TRANSPORT message; wherein the Payload container type parameter of the DL NAS TRANSPORT message identifies that the AI ​​model is transmitted in the corresponding Payload container.

[0067] In the above embodiment, a specific implementation form of the second NAS signaling is provided.

[0068] In a second aspect, an embodiment of the present disclosure provides a communication method, the method comprising:

[0069] The mobility management function entity AMF transmits artificial intelligence AI data and / or AI models to the user equipment UE through NAS signaling;

[0070] and / or

[0071] The mobile management function entity AMF transmits AI data and / or AI model with at least one of the over-the-top OTT server, core network network element, and core network function.

[0072] In combination with some embodiments of the second aspect, in some embodiments, the mobility management function entity AMF transmits artificial intelligence AI data and / or AI model to the user equipment UE through NAS signaling, including:

[0073] receiving the AI ​​data sent by the UE to the AMF through first NAS signaling;

[0074] and / or

[0075] The AI ​​model is sent to the UE through second NAS signaling.

[0076] In conjunction with some embodiments of the second aspect, in some embodiments, the first NAS signaling includes: a UL NAS TRANSPORT message; wherein a Payload container type parameter of the UL NAS TRANSPORT message identifies that the AI ​​data is transmitted in the corresponding Payload container;

[0077] and / or

[0078] The second NAS signaling includes: a DL NAS TRANSPORT message; wherein, a Payload container type parameter of the DL NAS TRANSPORT message identifies that the AI ​​model is transmitted in the corresponding Payload container.

[0079] In combination with some embodiments of the second aspect, in some embodiments, the mobility management function entity AMF transmits AI data and / or AI model with at least one of: an over-the-top OTT server, a core network element, and a core network function, including:

[0080] The AMF receives the AI ​​model sent by at least one of the OTT server, the core network element, and the core network function.

[0081] In conjunction with some embodiments of the second aspect, in some embodiments, the mobility management function entity AMF transmits AI data and / or AI model with at least one of: an over-the-top OTT server, a core network element, and a core network function, including at least one of the following:

[0082] The AMF transmits AI data and / or AI model with the OTT server through the service-based interface SBI, SCTP / IP protocol stack or GTP-U / UDP / IP protocol stack;

[0083] The AMF transmits AI data and / or AI model with the core network element and / or core network function through the service-based interface SBI; wherein, the core network element and / or core network function transmits AI data and / or AI model with the OTT server.

[0084] In conjunction with some embodiments of the second aspect, in some embodiments, the AMF transmits AI data and / or AI model with the OTT server through a service-based interface SBI, an SCTP / IP protocol stack, or a GTP-U / UDP / IP protocol stack, including at least one of the following:

[0085] The AMF receives the AI ​​model transmitted by the OTT server to the AMF by calling the Namf_Communication_N1N2MessageTransfer service operation;

[0086] The AMF receives the AI ​​model transmitted by the OTT server to the AMF by calling the newly defined AMF service;

[0087] The AMF transmits the AI ​​data to the OTT server through the SBI;

[0088] The AMF transmits AI data and / or AI model with the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0089] In combination with some embodiments of the second aspect, in some embodiments, the AMF transmits AI data and / or AI model with the core network element and / or core network function through the service-based interface SBI, including at least one of the following:

[0090] The AMF receives the AI ​​model transmitted to the AMF by the core network element and / or core network function by calling the Namf_Communication_N1N2MessageTransfer service operation;

[0091] The AMF receives the AI ​​model transmitted to the AMF by the core network element and / or core network function by calling the newly defined AMF service;

[0092] The AMF calls the newly defined data collection and coordination function DCCF service, the newly defined network data analysis function NWDAF service, the newly defined network element, and the newly defined functional entity to transmit the AI ​​data to the core network network element and / or core network function.

[0093] In a third aspect, an embodiment of the present disclosure provides a communication method, the method comprising:

[0094] The over-the-top OTT server transmits artificial intelligence AI data and / or AI model to the mobile management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model to the user equipment UE through NAS signaling.

[0095] In conjunction with some embodiments of the third aspect, in some embodiments, the over-the-top OTT server and the mobile management function entity AMF transmit artificial intelligence AI data and / or AI model, including:

[0096] receiving the AI ​​data sent by the AMF;

[0097] and / or

[0098] Send the AI ​​model to the AMF.

[0099] In conjunction with some embodiments of the third aspect, in some embodiments, the receiving the AI ​​data sent by the AMF includes:

[0100] The OTT server transmits AI data and / or AI model with the AMF via the service-based interface SBI, SCTP / IP protocol stack or GTP-U / UDP / IP protocol stack;

[0101] The AI ​​data and / or AI model transmitted between the OTT server and the core network elements and / or core network functions.

[0102] In combination with some embodiments of the third aspect, in some embodiments, the AI ​​data and / or AI model transmitted by the OTT server to the AMF through the service-based interface SBI, SCTP / IP protocol stack, or GTP-U / UDP / IP protocol stack includes at least one of the following:

[0103] The OTT server transmits the AI ​​model to the AMF by calling the Namf_Communication_N1N2MessageTransfer service operation;

[0104] The OTT server transmits the AI ​​model to the AMF by calling the newly defined AMF service;

[0105] Receiving the AI ​​data transmitted by the AMF to the OTT server through the SBI;

[0106] Receive the AI ​​data and / or AI model transmitted by the AMF to the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0107] In conjunction with some embodiments of the third aspect, in some embodiments, the AI ​​data and / or AI model transmitted between the OTT server and the core network element and / or core network function includes at least one of the following:

[0108] The OTT server transmits AI data and / or AI models to the core network element and / or core network function through the SBI; the SBI includes: Ndccf_DataManagement_Fetch service operation, Nnwdaf_DataManagement_Fetch service operation, newly defined DCCF service or newly defined NWDAF service;

[0109] The OTT server transmits the AI ​​model to the core network element and / or core network function through the newly defined network element and the newly defined functional entity;

[0110] The OTT server transmits AI data and / or AI model with the core network element and / or core network function through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0111] In a fourth aspect, an embodiment of the present disclosure provides a communication method, the method comprising:

[0112] The core network elements and / or core network functions transmit artificial intelligence AI data and / or AI models to the mobility management function entity AMF; wherein the AMF transmits the AI ​​data and / or AI model to the user equipment UE through NAS signaling.

[0113] In conjunction with some embodiments of the fourth aspect, in some embodiments, the core network element and / or core network function transmits artificial intelligence AI data and / or AI model to the mobility management function entity AMF, including:

[0114] receiving the AI ​​data sent by the AMF;

[0115] and / or

[0116] Send the AI ​​model to the AMF.

[0117] In conjunction with some embodiments of the fourth aspect, in some embodiments, receiving the AI ​​data sent by the AMF includes at least one of the following:

[0118] The core network element and / or core network function transmits AI data and / or AI model with the AMF through a service-based interface SBI or a newly defined AMF service; the SBI includes: Namf_Communication_N1N2MessageTransfer service operation, a newly defined DCCF service or a newly defined NWDAF service;

[0119] The core network element and / or core network function transmits AI data and / or AI model with the OTT server through the SBI and the newly defined AMF service;

[0120] The core network element and / or core network function transmits AI data and / or AI model with the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0121] In combination with some embodiments of the fourth aspect, in some embodiments, the core network element and / or core network function includes a DCCF or an NWDAF.

[0122] In a fifth aspect, an embodiment of the present disclosure further provides a user equipment UE, the UE including a first transmission module; wherein the UE is used to execute an optional implementation method of the first aspect.

[0123] In the sixth aspect, an embodiment of the present disclosure further provides a communication device, which is a mobility management function entity AMF, and the above-mentioned AMF includes a second transmission module; wherein the above-mentioned AMF is used to execute the optional implementation method of the second aspect.

[0124] In the seventh aspect, an embodiment of the present disclosure further provides an OTT server, which includes a third transmission module; wherein the OTT server is used to execute the optional implementation method of the third aspect.

[0125] In the eighth aspect, an embodiment of the present disclosure also provides a communication device, which is a core network network element and / or core network function, and the above-mentioned core network network element and / or core network function includes a fourth transmission module; wherein the above-mentioned core network network element and / or core network function is used to execute the optional implementation method of the fourth aspect.

[0126] In a ninth aspect, an embodiment of the present disclosure further provides a user equipment UE, including:

[0127] one or more processors;

[0128] The UE is used to execute the optional implementation of the first aspect.

[0129] In a tenth aspect, an embodiment of the present disclosure further provides a communication device, wherein the communication device is a mobility management function entity AMF, including:

[0130] one or more processors;

[0131] The AMF is used to execute an optional implementation of the second aspect.

[0132] In an eleventh aspect, an embodiment of the present disclosure further provides an OTT server, including:

[0133] one or more processors;

[0134] Among them, the OTT server is used to execute the optional implementation method of the third aspect.

[0135] In a twelfth aspect, an embodiment of the present disclosure further provides a communication device, wherein the communication device is a core network element and / or a core network function, and the core network element and / or the core network function includes:

[0136] one or more processors;

[0137] Among them, the OTT server is used to execute the optional implementation method of the fourth aspect.

[0138] In the thirteenth aspect, an embodiment of the present disclosure further provides a communication system, including a UE, an AMF, an OTT server, a core network element and / or a core network function; wherein, the UE is configured to execute the optional implementation method as described in the first aspect, the AMF is configured to execute the optional implementation method as described in the second aspect, the OTT server is configured to execute the optional implementation method as described in the third aspect, and the core network element and / or core network function is configured to execute the optional implementation method as described in the fourth aspect.

[0139] In the fourteenth aspect, an embodiment of the present disclosure further provides a storage medium storing instructions, which, when executed on a communication device, enables the communication device to execute the optional implementation methods described in the first, second, third, and fourth aspects.

[0140] In the fifteenth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the optional implementation of the first aspect, the second aspect, the third aspect, and the fourth aspect.

[0141] On the sixteenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first aspect, the second aspect, the third aspect, and the fourth aspect.

[0142] In a seventeenth aspect, an embodiment of the present disclosure provides a chip or a chip system, which includes a processing circuit configured to execute the method described in the optional implementation of the first and second aspects above.

[0143] It can be understood that the above-mentioned UE, AMF, OTT server, core network element and / or core network function, storage medium, program product, computer program, chip or chip system are all used to perform the method proposed in the embodiment of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method and will not be repeated here.

[0144] The embodiments of the present disclosure provide a communication method, a user device, a communication device, an OTT server, and a communication system. In some embodiments, the terms "communication method" and "signal transmission method" and "wireless frame transmission method" are interchangeable, and the terms "information processing system" and "communication system" are interchangeable.

[0145] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain 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 certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0146] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0147] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0148] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0149] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0150] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0151] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0152] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0153] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0154] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0155] In some embodiments, terms such as "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 less than", and "above" can be replaced with each other, and terms such as "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" can be replaced with each other.

[0156] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0157] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0158] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or 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", "bandwidth part (BWP)", etc.

[0159] In some embodiments, "terminal" or "terminal device" may be referred to as "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, client, etc.

[0160] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0161] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0162] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0163] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0164] As shown in Figure 1, the communication system 100 includes a user equipment (UE) 101, an access and mobility management function (AMF) 102, a core network element and / or a core network function 103, and an over-the-top (OTT) server 104.

[0165] In some embodiments, UE101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0166] In some embodiments, the communication system 100 may further include a network device, for example, at least one of an access network device and a core network device.

[0167] In some embodiments, the core network device can be a device including one or more network elements (or functions), core network network elements and / or core network functions 103, or multiple devices or device groups, each including all or part of the one or more network elements. The network element can be virtual or physical. The core network includes, for example, at least one of the Evolved Packet Core (EPC), the 5G Core Network (5GCN), and the Next Generation Core (NGC).

[0168] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0169] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0170] The embodiments of the present disclosure 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 (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (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 resource determination methods, and next-generation systems based on and extending these systems. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0171] FIG2 is one of the interactive schematic diagrams of the communication method according to an embodiment of the present disclosure. As shown in FIG2 , the method includes:

[0172] In step 201, UE 101 transmits artificial intelligence (AI) data and / or AI models to the mobility management function (AMF) 102 via NAS signaling.

[0173] In step 202 , the AMF 102 transmits the AI ​​data and / or the AI ​​model to the over-the-top OTT server 104 .

[0174] Machine learning algorithms are one of the most important approaches to implementing artificial intelligence technology. Machine learning uses large amounts of training data to generate models that can then be used to predict events. In many fields, models trained using machine learning can produce highly accurate predictions.

[0175] In 5G systems, AI can be used for prediction and reasoning to improve system performance. In the disclosed embodiment, UE 101 communicates with the OTT server via the control plane. For example, in scenario 1, when transmitting AI data, UE 101 transmits the AI ​​data to AMF 102 via NAS signaling, and AMF 102 transmits the AI ​​data to OTT server 104. In scenario 2, when the AI ​​model is trained on OTT server 104, OTT server 104 transmits the AI ​​model to AMF 102, and AMF 102 transmits the AI ​​model to UE 101 via NAS signaling.

[0176] In the disclosed embodiments, UE 101 may transmit AI data to the OTT server 104, or may receive a trained AI model from the OTT server 104. By transmitting AI data and / or AI models via the control plane, the mobile communication network may effectively control the communication between UE 101 and the OTT server 104.

[0177] In the embodiment of the present disclosure, the OTT server 104 is, for example, a network server that communicates with the UE 101. The server may belong to the mobile communication network or a third-party server that has signed a service level agreement (SLA) with the mobile communication network.

[0178] In the embodiments of the present disclosure, "AI data and AI models" are data transmitted between UE 101, AMF 102, and OTT server 104. The embodiments of the present disclosure do not limit whether a specific layer is used to transmit AI data and models. For example, the Packet Data Convergence Protocol (PDCP) layer, the Stream Control Transmission Protocol (SCTP) layer, the Radio Link Control layer (Radio Link Control) layer, the IP layer, the Data Link Layer layer, the Media Access Control (MAC) layer, the Physical Layer (PHY), etc. in Figure 2.

[0179] In some embodiments, situation one includes:

[0180] Step 203: The UE sends the AI ​​data to the AMF through a first non-access stratum (NAS) signaling;

[0181] In step 204, the AMF sends the AI ​​data to the OTT server.

[0182] In case 1, UE 101 sends the AI ​​data to AMF 102 through the first NAS signaling. AMF 102 receives the AI ​​data sent by UE 101 to AMF 102 through the first NAS signaling, and AMF 102 transmits the AI ​​data to the OTT server through SBI, SCTP / IP protocol stack, or GTP-U / UDP / IP protocol stack.

[0183] Among them, UE101 and gNB105 can exchange control plane signaling through Radio Resource Control (RRC) signaling, and the first NAS signaling for interaction between UE and AMF can be carried in the RRC signaling.

[0184] AMF102 transmits AI data to the OTT server 104 through at least one of the service-based interface (SBI), SCTP / IP protocol stack, and GTP-U / UDP / IP protocol stack, where SCTP is the Stream Control Transmission Protocol (SCTP), IP is the Internet Protocol (Internet Protocol), GTP-U is the GPRS Tunneling Protocol-User Plane (GTP-U), and UDP is the User Datagram Protocol (UDP).

[0185] In some embodiments, the first NAS signaling includes: an uplink NAS transport (Up Link NAS TRANSPORT, UL NAS TRANSPORT) message; wherein a payload container type (Payload container type) parameter of the UL NAS TRANSPORT message identifies that the AI ​​data is transmitted in the corresponding (payload container).

[0186] Specifically, UE 101 and gNB 105 can exchange control plane signaling via Radio Resource Control (RRC) signaling. The RRC signaling can carry the first NAS signaling between the UE and the AMF, for example, via the RRC message UL Information Transfer. The first NAS signaling can include a UL NAS TRANSPORT message. Accordingly, as shown in Figure 2, the UPLINK NAS TRANSPORT message is also used in the Next Generation Access Protocol (NGAP) signaling between gNB 105 and AMF 102 to transparently transmit NAS signaling.

[0187] As a first example, when UE 101 uses UL NAS TRANSPORT to transmit AI data, the format of the NAS message is shown in Table 1 below:

[0188] As shown in Table 1, the Payload container type can be used to indicate that AI data is transmitted in the Payload container. In this way, the AMF 102 can transmit the AI ​​data in the Payload container to the OTT server.

[0189] It is understandable that the NAS message also includes other information elements, such as an extended protocol discriminator, a security header type, an uplink NAS transport message identity, a payload container type, etc., which is not limited in the embodiments of the present disclosure.

[0190] In some embodiments, situation two includes:

[0191] In step 205, AMF 102 sends an AI model to UE 101 through a second NAS signaling; wherein the AI ​​model is obtained by the AMF from the OTT server.

[0192] In step 206, UE 101 receives the AI ​​model sent by the AMF 102 to the UE through the second NAS signaling.

[0193] Among them, in case 2, the AMF receives the AI ​​model transmitted by the OTT server 104 through the service interface SBI, SCTP / IP protocol stack or GTP-U / UDP / IP protocol stack; and then sends the AI ​​model to UE101 through the second NAS signaling. Specifically, UE101 and gNB105 can exchange control plane signaling through RRC signaling, and the RRC signaling can carry the second NAS signaling for interaction between AMF102 and UE101.

[0194] In some embodiments, the second NAS signaling includes: a downlink NAS transport (DL NAS TRANSPORT) message; wherein the Payload container type parameter of the DL NAS TRANSPORT message indicates that the AI ​​model is transmitted in the corresponding Payload container.

[0195] Specifically, gNB 105 and UE 101 can exchange control plane signaling via RRC signaling. This RRC signaling can carry the second NAS signaling exchanged between AMF 102 and UE 101. For example, the second NAS signaling can be transmitted via the RRC message DL NAS TRANSPORT. The second NAS signaling can include a DL NAS TRANSPORT message. Accordingly, as shown in Figure 2 , the DL NAS TRANSPORT message is also used in the NGAP signaling between gNB 105 and AMF 102 to transparently transmit NAS signaling.

[0196] As a second example, when the AMF 102 uses UL NAS TRANSPORT to transmit the model, the format of the NAS message is as follows

[0197] As shown in Table 2:

[0198] As shown in Table 2, the Payload container type may be used to indicate that the AI ​​model is transmitted in the Payload container. In this way, after receiving the DL NAS TRANSPORT message, the UE 101E may process the AI ​​model in the Payload container.

[0199] It is understandable that the NAS message also includes other information elements, such as an extended protocol discriminator, a security header type, a downlink NAS transport message identity, a payload container type, etc., which is not limited in the embodiments of the present disclosure.

[0200] In some embodiments, the AMF 102 transmits AI data and / or AI models with the OTT server via a service-based interface SBI, an SCTP / IP protocol stack, or a GTP-U / UDP / IP protocol stack, including at least one of the following:

[0201] The AMF 102 receives the AI ​​model transmitted by the OTT server 104 to the AMF 102 by calling the Namf_Communication_N1N2 message transmission Namf_Communication_N1N2MessageTransfer service operation; wherein the OTT server 104 can call the existing Namf_Communication_N1N2MessageTransfer service operation to transmit the AI ​​model to the AMF 102;

[0202] The AMF 102 receives the AI ​​model transmitted to the AMF 102 by the OTT server 104 by calling the newly defined AMF service; the newly defined AMF service, for example, Namf_AI, so that the OTT server 104 can call Namf_AI to transmit the AI ​​model to the AMF;

[0203] The AMF 102 transmits the AI ​​data to the OTT server 104 through the SBI; for example, Nott_AI may be defined so that the AMF 102 can call Nott_AI to transmit the AI ​​data to the OTT server 104;

[0204] The AMF 102 transmits AI data and / or AI model to the OTT server 104 through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack. The transmission process carries the identification information of the UE, so that the AMF 102 and the OTT server 104 can perform UE-related processing, for example, AMF 102 transmits the AI ​​model to a specific UE.

[0205] FIG3 is a second interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3 , the method includes:

[0206] In step 301, UE 101 transmits artificial intelligence (AI) data and / or AI model to the mobility management function (AMF) 102 via NAS signaling.

[0207] In step 302, AMF 102 transmits the AI ​​data and / or the AI ​​model to at least one of a core network element and a core network function. The at least one of a core network element and a core network function is referred to as a core network element and / or a core network function below.

[0208] In step 303 , the core network element and / or the core network function 103 transmits the AI ​​data and / or the AI ​​model to the OTT server 104 .

[0209] In the disclosed embodiment, UE 101 communicates with the OTT server via the control plane. For example, in case three, when transmitting AI data, UE 101 transmits the AI ​​data to AMF 102 via NAS signaling. AMF 102 transmits the AI ​​data to at least one of the core network elements and core network functions 103. The core network elements and core network functions 103 then transmit the AI ​​data to the OTT server 104. In case four, when the AI ​​model is being trained, OTT server 104 transmits the AI ​​model to at least one of the core network elements and core network functions 103. The core network elements and core network functions 103 then transmit the AI ​​model to AMF 102. AMF 102 then transmits the AI ​​model to UE 101 via NAS signaling.

[0210] In the disclosed embodiment, UE 101 may transmit AI data to OTT server 104, or may receive a trained AI model from OTT server 104. By transmitting AI data and / or AI models via the control plane, the mobile communication network may effectively control the communication between UE 101 and OTT server 104.

[0211] In the embodiment of the present disclosure, the OTT server 104 is, for example, a network server that communicates with the UE 101. The server may belong to the mobile communication network or a third-party server that has signed a service level agreement (SLA) with the mobile communication network.

[0212] In the embodiments of the present disclosure, "AI data and AI models" are data transmitted between UE 101, AMF 102, and OTT server 104. The embodiments of the present disclosure do not limit whether a specific layer is used to transmit AI data and models. For example, the Packet Data Convergence Protocol (PDCP) layer, the Stream Control Transmission Protocol (SCTP) layer, the Radio Link Control layer (Radio Link Control) layer, the IP layer, the Data Link Layer layer, the Media Access Control (MAC) layer, the Physical Layer (PHY), etc. in Figure 3.

[0213] In some embodiments, the core network elements and / or core network functions include a data collection and coordination function (DCCF) or a network data analysis function (NWDAF).

[0214] In some embodiments, situation three includes:

[0215] Step 304: The UE sends the AI ​​data to the AMF through first NAS signaling;

[0216] Step 305: The AMF transmits AI data and / or AI model to the core network element and / or core network function 103 via SBI; wherein, the core network element and / or core network function transmits AI data and / or AI model to the OTT server.

[0217] In step 306, the AMF sends the AI ​​data to the OTT server.

[0218] In case three, UE 101 sends the AI ​​data to AMF 102 through the first NAS signaling. AMF 102 receives the AI ​​data sent by UE 101 to AMF 102 through the first NAS signaling, and AMF 102 transmits the AI ​​data with the core network element and / or core network function 103 through SBI, and then AMF sends the AI ​​data to the OTT server.

[0219] Among them, UE101 and gNB105 can exchange control plane signaling through Radio Resource Control (RRC) signaling, and the first NAS signaling for interaction between UE and AMF can be carried in the RRC signaling.

[0220] In some embodiments, the first NAS signaling includes: a UL NAS TRANSPORT message; wherein a Payload container type parameter of the UL NAS TRANSPORT message identifies that the AI ​​data is transmitted in the corresponding Payload container.

[0221] Specifically, UE 101 and gNB 105 can exchange control plane signaling via Radio Resource Control (RRC) signaling. The RRC signaling can carry the first NAS signaling between the UE and the AMF, for example, via the RRC message UL Information Transfer. The first NAS signaling can include a UL NAS TRANSPORT message. Accordingly, as shown in Figure 3, the UPLINK NAS TRANSPORT message is also used in the Next Generation Access Protocol (NGAP) signaling between gNB 105 and AMF 102 to transparently transmit NAS signaling.

[0222] As a third example, when UE 101 uses UL NAS TRANSPORT to transmit AI data, the format of the NAS message is shown in Table 1. The Payload container type value can be used to indicate that the payload container is transmitting AI data. In this way, AMF 102 can transmit the AI ​​data in the payload container to the OTT server.

[0223] It is understandable that the NAS message also includes other information elements, such as Extended protocol discriminator, Security header type, UL NAS TRANSPORT message identity, Payload container type, etc., which is not limited in the embodiments of the present disclosure.

[0224] In some embodiments, situation four includes:

[0225] Step 307: The OTT server 104 sends the AI ​​model to the core network element and / or core network function 103.

[0226] Step 308: The core network element and / or core network function 103 sends the AI ​​model to the AMF 102 via SBI.

[0227] In step 309, AMF 102 sends the AI ​​model to UE 101 via the second NAS signaling.

[0228] In scenario 4, the OTT server 104 sends the AI ​​model to the core network element and / or core network function 103, which then sends it to the AMF 102. The AMF 102 then sends the AI ​​model to the UE 101 via the second NAS signaling. Specifically, the UE 101 and the gNB 105 can exchange control plane signaling via RRC signaling, and the RRC signaling can carry the second NAS signaling exchanged between the AMF 102 and the UE 101.

[0229] In some embodiments, the second NAS signaling includes: a DL NAS TRANSPORT message; wherein a Payload container type parameter of the DL NAS TRANSPORT message identifies that the AI ​​model is transmitted in the corresponding Payload container.

[0230] Specifically, gNB 105 and UE 101 can exchange control plane signaling via RRC signaling. This RRC signaling can carry the second NAS signaling exchanged between AMF 102 and UE 101. For example, the second NAS signaling can be transmitted via the RRC message DL NAS TRANSPORT. The second NAS signaling can include a DL NAS TRANSPORT message. Accordingly, as shown in Figure 3, the DL NAS TRANSPORT message is also used in the NGAP signaling between gNB 105 and AMF 102 to transparently transmit NAS signaling.

[0231] As a fourth example, when AMF 102 uses UL NAS TRANSPORT to transmit the model, the format of the NAS message is shown in Table 2 above. The Payload Container Type can be used to indicate that the Payload Container transmits the AI ​​model. In this way, after receiving the DL NAS TRANSPORT message, UE 101E can process the AI ​​model in the Payload Container.

[0232] It is understandable that the NAS message also includes other information elements, such as Extended protocol discriminator, Security header type, DL NAS TRANSPORT message identity, Payload container type, etc., which are not limited in the embodiments of the present disclosure.

[0233] In some embodiments, the AMF transmits AI data and / or AI model with the core network element and / or core network function through a service-based interface SBI, including at least one of the following:

[0234] The AMF receives the AI ​​model transmitted to the AMF102 by the core network element and / or core network function 103 by calling the Namf_Communication_N1N2MessageTransfer service operation; the core network element and / or core network function 103 may call the existing Namf_Communication_N1N2MessageTransfer service operation to transmit the AI ​​model to the AMF102;

[0235] The AMF receives the AI ​​model transmitted to the AMF by the core network element and / or core network function 103 by calling the newly defined AMF service; for example, Namf_AI, so that the core network element and / or core network function 103 can call Namf_AI to transmit the AI ​​model to AMF102;

[0236] The AMF calls the newly defined data collection and coordination function DCCF service (e.g., Ndccf_AI), the newly defined network data analysis function NWDAF service (e.g., Nnwdaf_AI), the newly defined network element, and the newly defined functional entity to transmit the AI ​​data to the core network network element and / or core network function.

[0237] In some embodiments, the AI ​​data and / or AI model transmitted between the OTT server and the core network element and / or core network function includes at least one of the following:

[0238] The OTT server transmits AI data and / or AI models to the core network element and / or core network function through the SBI; the SBI includes: Ndccf_DataManagement_Fetch service operation, Nnwdaf_DataManagement_Fetch service operation, newly defined DCCF service or newly defined NWDAF service;

[0239] The OTT server transmits the AI ​​model to the core network element and / or core network function through the newly defined network element and the newly defined functional entity;

[0240] The OTT server transmits AI data and / or AI model with the core network element and / or core network function through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0241] Specifically, taking the example of SBI including DCCF, the OTT server 104 can call the existing Ndccf_DataManagement_Fetch to obtain AI data from the DCCF. A new DCCF service (e.g., Ndccf_AI) can be defined so that the OTT server 104 can call Ndccf_AI to transmit the AI ​​model to the DCCF, and the AMF 102 can call Ndccf_AI to transmit the AI ​​data to the DCCF.

[0242] Accordingly, taking the example of SBI including NWDAF, the OTT server can call the existing Nnwdaf_DataManagement_Fetch to obtain AI data from NWDAF. A new NWDAF service (e.g., Nnwdaf_AI) can be defined so that the OTT server 104 can call Nnwdaf_AI to transmit the AI ​​model to NWDAF, and the AM 102F can call Nnwdaf_AI to transmit the AI ​​data to NWDAF.

[0243] For other core network elements and / or core network functions 103 (including newly introduced core network elements and / or core network functions 103), the service of the network element function (for example, Nnf_AI) can be defined, so that the OTT server 104 can call Nnf_AI to transmit the AI ​​model to the core network element and / or core network function 103, and the AMF 102 can call Nnf_AI to transmit AI data to the core network element and / or core network function 103.

[0244] The OTT server 104 can also provide services to the core network elements and / or core network functions 103 through a service-oriented interface. For example, Nott_AI can be defined so that the core network elements and / or core network functions 103 can call Nott_AI to transmit AI data to the OTT server.

[0245] In addition, the core network element and / or core network function 103 and the OTT server 104 may also communicate through other means, such as through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack. The signaling exchanged between the core network element and / or core network function 103 and the OTT server needs to include relevant UE identification information, so that the core network element and / or core network function 103 and the OTT server can perform UE-related processing.

[0246] In the disclosed embodiments, UE 101 may transmit AI data to the OTT server 104, or may receive a trained AI model from the OTT server 104. By transmitting AI data and / or AI models via the control plane, the mobile communication network may effectively control the communication between UE 101 and the OTT server 104. In the case where the communication between the user device and the OTT server is not transparent to the mobile communication network (e.g., 3GPP), the mobile communication network may have a certain degree of control over the communication between the user device and the OTT server.

[0247] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0248] In some embodiments, terms such as "moment", "time point", "time", and "time position" can be replaced with each other, and terms such as "duration", "period", "time window", "window", and "time" can be replaced with each other.

[0249] In some embodiments, terms such as wireless access scheme and waveform may be used interchangeably.

[0250] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

[0251] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0252] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data after receiving it; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the recipient to respond to the content sent.

[0253] The communication method involved in the embodiment of the present disclosure may include at least one of the aforementioned steps and embodiments. For example, step 201 can be implemented as an independent embodiment, step 202 can be implemented as an independent embodiment, step 203 can be implemented as an independent embodiment, step 204 can be implemented as an independent embodiment, step 205 can be implemented as an independent embodiment, step 206 can be implemented as an independent embodiment, step 301 can be implemented as an independent embodiment, step 303 can be implemented as an independent embodiment, step 303 can be implemented as an independent embodiment, step 304 can be implemented as an independent embodiment, step 305 can be implemented as an independent embodiment, step 306 can be implemented as an independent embodiment, and step 307 can be implemented as an independent embodiment. The present invention can be implemented as an independent embodiment, step 308 can be implemented as an independent embodiment, and step 309 can be implemented as an independent embodiment; the combination of step 201 and step 202 can be implemented as an independent embodiment, the combination of step 203 and step 204 can be implemented as an independent embodiment, the combination of step 205 and step 206 can be implemented as an independent embodiment, the combination of step 301, step 302 and step 303 can be implemented as an independent embodiment, the combination of step 304, step 305 and step 306 can be implemented as an independent embodiment, and the combination of step 307, step 308 and step 309 can be implemented as an independent embodiment, but is not limited thereto.

[0254] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 .

[0255] FIG4 is a flowchart of a communication method according to an embodiment of the present disclosure.

[0256] As shown in FIG4 , the above method may be applied to UE 101, and the above method includes:

[0257] In step 401, the user equipment UE transmits artificial intelligence AI data and / or AI model to the mobility management function entity AMF through non-access layer NAS signaling; wherein, the AMF transmits the AI ​​data and / or AI model to at least one of: an over-the-top OTT server, a core network element, and a core network function.

[0258] Optionally, in an embodiment of the present disclosure, the user equipment UE transmits artificial intelligence AI data and / or AI model to the mobility management function entity AMF through non-access stratum NAS signaling, including:

[0259] The UE sends the AI ​​data to the AMF through first NAS signaling; wherein the AMF sends the AI ​​data to at least one of the OTT server, the core network element, and the core network function;

[0260] and / or

[0261] The UE receives the AI ​​model sent by the AMF to the UE through the second NAS signaling; wherein, the AI ​​model is obtained by the AMF from at least one of the OTT server, the core network element, and the core network function.

[0262] Optionally, in an embodiment of the present disclosure, the first NAS signaling includes: a UL NAS TRANSPORT message; wherein, a Payload container type parameter of the UL NAS TRANSPORT message indicates that the AI ​​data is transmitted in the corresponding Payload container.

[0263] Optionally, in an embodiment of the present disclosure, the second NAS signaling includes: a DL NAS TRANSPORT message; wherein, the Payload container type parameter of the DL NAS TRANSPORT message identifies that the AI ​​model is transmitted in the corresponding Payload container.

[0264] FIG5 is a second flowchart of a communication method according to an embodiment of the present disclosure.

[0265] As shown in FIG5 , the above method can be applied to AMF 102 , and the above method includes:

[0266] Step 501: The AMF transmits artificial intelligence (AI) data and / or AI model to the user equipment (UE) via NAS signaling.

[0267] and / or

[0268] The mobile management function entity AMF transmits AI data and / or AI model with at least one of the over-the-top OTT server, core network network element, and core network function.

[0269] Optionally, in an embodiment of the present disclosure, the mobility management function entity AMF transmits artificial intelligence AI data and / or AI model to the user equipment UE through NAS signaling, including:

[0270] receiving the AI ​​data sent by the UE to the AMF through first NAS signaling;

[0271] and / or

[0272] The AI ​​model is sent to the UE through second NAS signaling.

[0273] Optionally, in the embodiment of the present disclosure, the first NAS signaling includes: a UL NAS TRANSPORT message; wherein a Payload container type parameter of the UL NAS TRANSPORT message indicates that the AI ​​data is transmitted in the corresponding Payload container;

[0274] and / or

[0275] The second NAS signaling includes: a DL NAS TRANSPORT message; wherein, a Payload container type parameter of the DL NAS TRANSPORT message identifies that the AI ​​model is transmitted in the corresponding Payload container.

[0276] Optionally, in an embodiment of the present disclosure, the mobility management function entity AMF transmits AI data and / or AI model with at least one of an over-the-top OTT server, a core network element, and a core network function, including:

[0277] The AMF receives the AI ​​model sent by at least one of the OTT server, the core network element, and the core network function.

[0278] Optionally, in an embodiment of the present disclosure, the mobility management function entity AMF transmits AI data and / or AI models with at least one of an over-the-top OTT server, a core network element, and a core network function, including at least one of the following:

[0279] The AMF transmits AI data and / or AI model with the OTT server through the service-based interface SBI, SCTP / IP protocol stack or GTP-U / UDP / IP protocol stack;

[0280] The AMF transmits AI data and / or AI model with the core network element and / or core network function through the service-based interface SBI; wherein, the core network element and / or core network function transmits AI data and / or AI model with the OTT server.

[0281] Optionally, in an embodiment of the present disclosure, the AMF transmits AI data and / or AI model with the OTT server through a service-based interface SBI, an SCTP / IP protocol stack, or a GTP-U / UDP / IP protocol stack, including at least one of the following:

[0282] The AMF receives the AI ​​model transmitted by the OTT server to the AMF by calling the Namf_Communication_N1N2MessageTransfer service operation;

[0283] The AMF receives the AI ​​model transmitted by the OTT server to the AMF by calling the newly defined AMF service;

[0284] The AMF transmits the AI ​​data to the OTT server through the SBI;

[0285] The AMF transmits AI data and / or AI model with the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0286] Optionally, in an embodiment of the present disclosure, the AMF transmits AI data and / or AI model with the core network element and / or core network function through a service-based interface SBI, including at least one of the following:

[0287] The AMF receives the AI ​​model transmitted to the AMF by the core network element and / or core network function by calling the Namf_Communication_N1N2MessageTransfer service operation;

[0288] The AMF receives the AI ​​model transmitted to the AMF by the core network element and / or core network function by calling the newly defined AMF service;

[0289] The AMF calls the newly defined data collection and coordination function DCCF service, the newly defined network data analysis function NWDAF service, the newly defined network element, and the newly defined functional entity to transmit the AI ​​data to the core network network element and / or core network function.

[0290] FIG6 is a third flowchart of a communication method according to an embodiment of the present disclosure.

[0291] As shown in FIG6 , the above method may be applied to the OTT server 104, and the above method includes:

[0292] In step 601, the over-the-top OTT server transmits artificial intelligence (AI) data and / or AI model to the mobility management function (AMF); wherein the AMF transmits the AI ​​data and / or AI model to the user equipment (UE) via NAS signaling.

[0293] Optionally, in the embodiment of the present disclosure, the over-the-top OTT server and the mobile management function entity AMF transmit artificial intelligence AI data and / or AI model, including:

[0294] receiving the AI ​​data sent by the AMF;

[0295] and / or

[0296] Send the AI ​​model to the AMF.

[0297] Optionally, in the embodiment of the present disclosure, the receiving the AI ​​data sent by the AMF includes:

[0298] The OTT server transmits AI data and / or AI model with the AMF via the service-based interface SBI, SCTP / IP protocol stack or GTP-U / UDP / IP protocol stack;

[0299] The AI ​​data and / or AI model transmitted between the OTT server and the core network elements and / or core network functions.

[0300] Optionally, in an embodiment of the present disclosure, the AI ​​data and / or AI model transmitted between the OTT server and the AMF through the service-based interface SBI, SCTP / IP protocol stack, or GTP-U / UDP / IP protocol stack includes at least one of the following:

[0301] The OTT server transmits the AI ​​model to the AMF by calling the Namf_Communication_N1N2MessageTransfer service operation;

[0302] The OTT server transmits the AI ​​model to the AMF by calling the newly defined AMF service;

[0303] Receiving the AI ​​data transmitted by the AMF to the OTT server through the SBI;

[0304] Receive the AI ​​data and / or AI model transmitted by the AMF to the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0305] Optionally, in the embodiment of the present disclosure, the AI ​​data and / or AI model transmitted between the OTT server and the core network element and / or core network function includes at least one of the following:

[0306] The OTT server transmits AI data and / or AI models to the core network element and / or core network function through the SBI; the SBI includes: Ndccf_DataManagement_Fetch service operation, Nnwdaf_DataManagement_Fetch service operation, newly defined DCCF service or newly defined NWDAF service;

[0307] The OTT server transmits the AI ​​model to the core network element and / or core network function through the newly defined network element and the newly defined functional entity;

[0308] The OTT server transmits AI data and / or AI model with the core network element and / or core network function through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0309] FIG7 is a fourth flowchart of a communication method according to an embodiment of the present disclosure.

[0310] As shown in Figure 7, the above method can be applied to the core network network element and / or core network function and mobility management function entity AMF102. The above method includes:

[0311] Step 701: The core network element and / or core network function transmits artificial intelligence AI data and / or AI model to the mobility management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model to the user equipment UE through NAS signaling.

[0312] Optionally, in an embodiment of the present disclosure, the core network element and / or core network function transmits artificial intelligence AI data and / or AI model to the mobility management function entity AMF, including:

[0313] receiving the AI ​​data sent by the AMF;

[0314] and / or

[0315] Send the AI ​​model to the AMF.

[0316] Optionally, in the embodiment of the present disclosure, the receiving the AI ​​data sent by the AMF includes at least one of the following:

[0317] The core network element and / or core network function transmits AI data and / or AI model with the AMF through a service-based interface SBI or a newly defined AMF service; the SBI includes: Namf_Communication_N1N2MessageTransfer service operation, a newly defined DCCF service or a newly defined NWDAF service;

[0318] The core network element and / or core network function transmits AI data and / or AI model with the OTT server through the SBI and the newly defined AMF service;

[0319] The core network element and / or core network function transmits AI data and / or AI model with the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

[0320] Optionally, in an embodiment of the present disclosure, the core network element and / or core network function includes a DCCF or an NWDAF.

[0321] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0322] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0323] In the embodiment of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and execution capability, 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 relationship of the hardware circuit, and the logical relationship of the above hardware circuit is fixed or reconfigurable, such as a hardware circuit implemented by a processor as 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 implementing the hardware circuit configuration 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. In addition, 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), a deep learning processing unit (DPU), etc.

[0324] FIG8 is a schematic diagram of the structure of a UE proposed in an embodiment of the present disclosure. As shown in FIG8 , the UE 800 may include: a first transmission module 801 .

[0325] In some embodiments, the above-mentioned first transmission module 801 is used to transmit artificial intelligence AI data and / or AI model through NAS signaling and the mobile management function entity AMF; wherein, the AMF transmits the AI ​​data and / or the AI ​​model with at least one of: an over-the-top OTT server, a core network network element, and a core network function.

[0326] Optionally, the first transmission module 801 is used to execute at least one of the communication steps (such as step 201, step 203, step 301, step 304, step 401, but not limited thereto) performed by UE101 in any of the above methods, which will not be repeated here.

[0327] FIG9 is a schematic diagram of the structure of the AMF proposed in an embodiment of the present disclosure. As shown in FIG9 , the AMF 900 may include: a second transmission module 901.

[0328] In some embodiments, the second transmission module 901 is configured to transmit artificial intelligence (AI) data and / or AI model to a user equipment (UE) via NAS signaling;

[0329] and / or

[0330] Transmit AI data and / or AI models with at least one of an over-the-top OTT server, a core network element, and a core network function.

[0331] Optionally, the above-mentioned second transmission module 901 is used to execute at least one of the communication steps performed by AMF102 in any of the above methods (for example, step 202, step 204, step 205, step 302, step 305, step 309, step 501, but not limited to this), which will not be repeated here.

[0332] FIG10 is a schematic diagram of the structure of an OTT server proposed in an embodiment of the present disclosure. As shown in FIG10 , the OTT server 1000 may include: a third transmission module 1001 .

[0333] In some embodiments, the third transmission module 1001 is used to transmit artificial intelligence AI data and / or AI model with the mobility management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model with the user equipment UE through NAS signaling.

[0334] Optionally, the second transmission module 901 is used to execute the communication steps performed by the AMF 102 in any of the above methods, such as step 601, which will not be repeated here.

[0335] FIG11 is a schematic diagram of the structure of a core network element and / or core network function proposed in an embodiment of the present disclosure. As shown in FIG11 , the core network element and / or core network function 1100 may include: a fourth transmission module 1101 .

[0336] In some embodiments, the fourth transmission module 1101 is used to transmit artificial intelligence AI data and / or AI model with the mobility management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model with the user equipment UE through NAS signaling.

[0337] Optionally, the fourth transmission module 1101 is used to execute the communication steps performed by the AMF 102 in any of the above methods, such as at least one of (step 308, step 701, but not limited thereto), which will not be repeated here.

[0338] Figure 12 is a schematic diagram of the structure of a terminal 1200 (e.g., user equipment) proposed in an embodiment of the present disclosure. Terminal 1200 can be a chip, chip system, or processor that supports a network device implementing any of the above methods, or a chip, chip system, or processor that supports a terminal implementing any of the above methods. Terminal 1200 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0339] As shown in Figure 12, terminal 1200 includes one or more processors 1201. Processor 1201 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control communication devices (such as base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Terminal 1200 is used to perform any of the above methods.

[0340] In some embodiments, the terminal 1200 further includes one or more memories 1202 for storing instructions. Optionally, all or part of the memories 1202 may be located outside the terminal 1200.

[0341] In some embodiments, the terminal 1200 further includes one or more transceivers 1204. When the terminal 1200 includes one or more transceivers 1204, the transceiver 1204 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step 203, step 204, step 205, step 206, step 304, step 306, step 307, step 308, and step 309, but not limited thereto), and the processor 1201 performs at least one of the other steps (for example, step 201, step 202, step 301, step 302, step 303, step 305, step 401, step 501, step 601, and step 701, but not limited thereto).

[0342] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0343] In some embodiments, terminal 1200 may include one or more interface circuits 1203. Optionally, interface circuit 1203 is connected to memory 1202. Interface circuit 1203 may be configured to receive signals from memory 1202 or other devices, and may be configured to send signals to memory 1202 or other devices. For example, interface circuit 1203 may read instructions stored in memory 1202 and send the instructions to processor 1201.

[0344] The terminal 1200 described in the above embodiment may be a communication device such as a user device, but the scope of the terminal 1200 described in the present disclosure is not limited thereto, and the structure of the terminal 1200 may not be limited by FIG. 12 . The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: (1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0345] FIG13 is a schematic diagram of the structure of a chip 1300 according to an embodiment of the present disclosure. In the case where the terminal 1200 may be a chip or a chip system, reference may be made to the schematic diagram of the structure of the chip 1300 shown in FIG13 , but the present disclosure is not limited thereto.

[0346] The chip 1300 includes one or more processors 1301 , and the chip 1300 is configured to execute any of the above methods.

[0347] In some embodiments, chip 1300 further includes one or more 1303. Optionally, interface circuit 1303 is connected to memory 1302. Interface circuit 1303 can be used to receive signals from memory 1302 or other devices, and interface circuit 1303 can be used to send signals to memory 1302 or other devices. For example, interface circuit 1303 can read instructions stored in memory 1302 and send the instructions to processor 1301.

[0348] In some embodiments, the interface circuit 1303 executes at least one of the communication steps such as sending and / or receiving in the above method (for example, step 203, step 204, step 205, step 206, step 304, step 306, step 307, step 308, step 309, but not limited to these), and the processor 1301 executes at least one of the other steps (for example, step 201, step 202, step 301, step 302, step 303, step 305, step 401, step 501, step 601, step 701, but not limited to these).

[0349] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0350] In some embodiments, chip 1300 also includes one or more memories 1302 for storing instructions. Alternatively, all or part of memory 1302 may be external to chip 1300.

[0351] The present disclosure also provides a storage medium having instructions stored thereon. When the instructions are executed on the terminal 1200, the terminal 1200 executes 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 is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.

[0352] The present disclosure also provides a program product, which, when executed by the terminal 1200, enables the terminal 1200 to perform any of the above methods. Optionally, the program product is a computer program product.

[0353] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

Claims

1. A communication method, characterized in that: The method comprises: The user equipment UE transmits artificial intelligence AI data and / or AI model with the mobility management function entity AMF through non-access layer NAS signaling; wherein, the AMF transmits the AI ​​data and / or AI model with at least one of: an over-the-top OTT server, a core network element, and a core network function.

2. The communication method according to claim 1, wherein: The user equipment UE transmits artificial intelligence AI data and / or AI model to the mobility management function entity AMF through non-access layer NAS signaling, including: The UE sends the AI ​​data to the AMF through first non-access layer NAS signaling; wherein the AMF sends the AI ​​data to at least one of the OTT server, the core network element, and the core network function; and / or The UE receives the AI ​​model sent by the AMF to the UE through the second NAS signaling; wherein, the AI ​​model is obtained by the AMF from at least one of the OTT server, the core network element, and the core network function.

3. The communication method according to claim 2, wherein: The first NAS signaling includes: an uplink NAS transmission UL NAS TRANSPORT message; wherein a payload container type parameter of the UL NAS TRANSPORT message identifies that the AI ​​data is transmitted in the corresponding payload container.

4. The communication method according to claim 2, wherein: The second NAS signaling includes: a downlink NAS transmission DL NAS TRANSPORT message; wherein a Payload container type parameter of the DL NAS TRANSPORT message identifies that the AI ​​model is transmitted in the corresponding Payload container.

5. A communication method, characterized in that: The method comprises: The mobility management function entity AMF transmits artificial intelligence AI data and / or AI models to the user equipment UE through NAS signaling; and / or The mobile management function entity AMF transmits AI data and / or AI model with at least one of the over-the-top OTT server, core network network element, and core network function. The communication method according to claim 5 , wherein: The mobility management function entity AMF transmits artificial intelligence AI data and / or AI model to the user equipment UE through NAS signaling, including: receiving the AI ​​data sent by the UE to the AMF through first NAS signaling; and / or The AI ​​model is sent to the UE through second NAS signaling.

7. The communication method according to claim 6, wherein: The first NAS signaling includes: a UL NAS TRANSPORT message; wherein a Payload container type parameter of the UL NAS TRANSPORT message indicates that the AI ​​data is transmitted in a corresponding Payload container; and / or The second NAS signaling includes: a DL NAS TRANSPORT message; wherein, a Payload container type parameter of the DL NAS TRANSPORT message identifies that the AI ​​model is transmitted in the corresponding Payload container.

8. The communication method according to claim 6, wherein: The mobile management function entity AMF transmits AI data and / or AI model with at least one of an over-the-top OTT server, a core network element, and a core network function, including: The AMF receives the AI ​​model sent by at least one of the OTT server, the core network element, and the core network function.

9. The communication method according to any one of claims 5 to 8, characterized in that: The AMF transmits AI data and / or AI models with at least one of an over-the-top OTT server, a core network element, and a core network function, including at least one of the following: The AMF transmits AI data and / or AI model with the OTT server through the service-based interface SBI, the streaming control transmission protocol SCTP / Internet protocol IP protocol stack or the GPRS tunneling protocol-user plane protocol GTP-U / user datagram protocol UDP / Internet protocol IP protocol stack; The AMF transmits AI data and / or AI model with the core network element and / or core network function through the service-based interface SBI; In which, the core network network element and / or core network function transmits AI data and / or AI model with the OTT server.

10. The communication method according to claim 9, wherein: The AMF transmits AI data and / or AI models with the OTT server via a service-based interface (SBI), an SCTP / IP protocol stack, or a GTP-U / UDP / IP protocol stack, including at least one of the following: The AMF receives the AI ​​model transmitted by the OTT server to the AMF by calling the Namf_Communication_N1N2 message transmission Namf_Communication_N1N2MessageTransfer service operation; The AMF receives the AI ​​model transmitted by the OTT server to the AMF by calling the newly defined AMF service; The AMF transmits the AI ​​data to the OTT server through the SBI; The AMF transmits AI data and / or AI model with the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

11. The communication method according to claim 9, wherein: The AMF transmits AI data and / or AI model with the core network element and / or core network function through the service-based interface SBI, including at least one of the following: The AMF receives the AI ​​model transmitted to the AMF by the core network element and / or core network function by calling the Namf_Communication_N1N2MessageTransfer service operation; The AMF receives the AI ​​model transmitted to the AMF by the core network element and / or core network function by calling the newly defined AMF service; The AMF calls the newly defined data collection and coordination function DCCF service, the newly defined network data analysis function NWDAF service, the newly defined network element, and the newly defined functional entity to transmit the AI ​​data to the core network network element and / or core network function.

12. A communication method, characterized in that: The method comprises: The over-the-top OTT server transmits artificial intelligence AI data and / or AI model to the mobile management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model to the user equipment UE through NAS signaling.

13. The communication method according to claim 12, wherein: The over-the-top OTT server transmits artificial intelligence (AI) data and / or AI models to the mobile management function entity AMF, including: receiving the AI ​​data sent by the AMF; and / or Send the AI ​​model to the AMF.

14. The communication method according to claim 13, wherein: The receiving the AI ​​data sent by the AMF includes: The OTT server transmits AI data and / or AI model with the AMF via the service-based interface SBI, SCTP / IP protocol stack or GTP-U / UDP / IP protocol stack; The AI ​​data and / or AI model transmitted between the OTT server and the core network elements and / or core network functions.

15. The communication method according to claim 14, wherein: The AI ​​data and / or AI model transmitted by the OTT server to the AMF via the service-based interface SBI, SCTP / IP protocol stack, or GTP-U / UDP / IP protocol stack includes at least one of the following: The OTT server transmits the AI ​​model to the AMF by calling the Namf_Communication_N1N2MessageTransfer service operation; The OTT server transmits the AI ​​model to the AMF by calling the newly defined AMF service; Receiving the AI ​​data transmitted by the AMF to the OTT server through the SBI; Receive the AI ​​data and / or AI model transmitted by the AMF to the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

16. The communication method according to claim 14, wherein: The AI ​​data and / or AI model transmitted between the OTT server and the core network element and / or core network function includes at least one of the following: The OTT server transmits AI data and / or AI models to the core network elements and / or core network functions through the SBI; the SBI includes: Ndccf data management acquisition Ndccf_DataManagement_Fetch service operation, Nnwda data management acquisition Nnwdaf_DataManagement_Fetch service operation, newly defined DCCF service or newly defined NWDAF service; The OTT server transmits the AI ​​model to the core network element and / or core network function through the newly defined network element and the newly defined functional entity; The OTT server transmits AI data and / or AI model with the core network element and / or core network function through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

17. A communication method, characterized in that: The method comprises: The core network elements and / or core network functions transmit artificial intelligence AI data and / or AI models to the mobility management function entity AMF; wherein the AMF transmits the AI ​​data and / or AI model to the user equipment UE through NAS signaling.

18. The communication method according to claim 17, wherein: The core network element and / or core network function transmits artificial intelligence AI data and / or AI model to the mobility management function entity AMF, including: receiving the AI ​​data sent by the AMF; and / or Send the AI ​​model to the AMF.

19. The communication method according to claim 18, wherein: The receiving the AI ​​data sent by the AMF includes at least one of the following: The core network element and / or core network function transmits AI data and / or AI model with the AMF through a service-based interface SBI or a newly defined AMF service; the SBI includes: Namf_Communication_N1N2MessageTransfer service operation, a newly defined DCCF service or a newly defined NWDAF service; The core network element and / or core network function transmits AI data and / or AI model with the OTT server through the SBI and the newly defined AMF service; The core network element and / or core network function transmits AI data and / or AI model with the OTT server through the SCTP / IP protocol stack or the GTP-U / UDP / IP protocol stack, and the transmission process carries the identification information of the UE.

20. The communication method according to any one of claims 17 to 19, characterized in that: The core network elements and / or core network functions include DCCF or NWDAF.

21. A user equipment UE, characterized in that The UE includes: The first transmission module is used to transmit artificial intelligence AI data and / or AI model through NAS signaling and the mobile management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model with at least one of: an over-the-top OTT server, a core network network element, and a core network function.

22. A communication device, wherein the communication device is a mobility management function entity AMF, characterized in that: The AMF includes: A second transmission module is configured to transmit artificial intelligence (AI) data and / or AI models to a user equipment (UE) via NAS signaling; and / or Transmit AI data and / or AI models with at least one of an over-the-top OTT server, a core network element, and a core network function.

23. An OTT server, characterized in that The OTT server includes: The third transmission module is used to transmit artificial intelligence AI data and / or AI model with the mobility management function entity AMF; wherein, the AMF transmits the AI ​​data and / or AI model with the user equipment UE through NAS signaling.

24. A communication device, the communication device being a core network element and / or a core network function, characterized in that: The communication device comprises: The fourth transmission module is used to transmit artificial intelligence AI data and / or AI model with the mobility management function entity AMF; wherein the AMF transmits the AI ​​data and / or AI model with the user equipment UE through NAS signaling.

25. A user equipment UE, characterized in that: include: one or more processors; The UE is used to execute the communication method according to any one of claims 1 to 4.

26. A communication device, wherein the communication device is a mobility management function entity AMF, characterized in that: include: one or more processors; The AMF is used to execute the communication method described in any one of claims 5 to 11.

27. An OTT server, characterized in that: include: one or more processors; Wherein, the OTT server is used to execute the communication method according to any one of claims 12 to 16.

28. A communication device, wherein the communication device is a core network element and / or a core network function, characterized in that: include: one or more processors; The core network element and / or core network function is used to execute the communication method according to any one of claims 17 to 20.

29. A communication system, characterized in that: It includes UE, AMF, OTT server, core network element and / or core network function; wherein, the UE is configured to implement the communication method described in any one of claims 1 to 4, the AMF is configured to implement the communication method described in any one of claims 5 to 11, the OTT server is used to execute the communication method described in any one of claims 12 to 16, and the core network element and / or core network function is used to execute the communication method described in any one of claims 17 to 20.

30. A storage medium storing instructions, characterized in that: When the instruction is executed on the communication device, the communication device executes the communication method according to any one of claims 1 to 4, or executes the communication method according to any one of claims 5 to 11, or executes the communication method according to any one of claims 12 to 16, or executes the communication method according to any one of claims 17 to 20.

31. A computer program product, characterized in that The computer program product includes a computer program, which, when executed by a processor, implements the communication method according to any one of claims 1 to 4, or implements the communication method according to any one of claims 5 to 11, or implements the communication method according to any one of claims 12 to 16, or implements the communication method according to any one of claims 17 to 20.

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