Information transmission method, terminal, first entity and second entity

Abstract

The invention relates to an information transmission method, a terminal, a first entity and a second entity. The method comprises: a terminal first sends a first request to a first entity, the first request comprising an artificial intelligence (AI) parameter, and then receives a first response sent by the first entity; therefore, the AI model delivery problem in the UE AI capability negotiation process between the UE and the network is solved, and the AI model delivery problem in the UE AI capability negotiation process between the UE and the network is solved.

Description

Information transmission method, terminal, first entity and second entity Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to an information transmission method, a terminal, a first entity, and a second entity. Background Art

[0002] With the development of computer technology and communication technology, artificial intelligence and machine learning AI / ML (AI / ML) have been introduced into communication systems to improve communication performance.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide an information transmission method, a terminal, a first entity, and a second entity, which to a certain extent solve the AI ​​model delivery problem during the UE AI capability negotiation process between the user equipment (UE) and the network.

[0005] According to a first aspect of an embodiment of the present disclosure, a method for transmitting information is provided. The method is executed by a terminal and includes:

[0006] Sending a first request to a first entity, wherein the first request includes artificial intelligence (AI) parameters;

[0007] Receive a first response sent by the first entity, wherein the first response includes AI model information.

[0008] According to a second aspect of an embodiment of the present disclosure, a method for transmitting information is provided. The method is performed by a first entity and includes:

[0009] Receiving a first request sent by a terminal, wherein the first request includes artificial intelligence (AI) parameters of the terminal;

[0010] Sending a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal;

[0011] receiving a second response sent by the second entity, wherein the second response includes AI model information;

[0012] Send a first response to the terminal, wherein the first response includes the AI ​​model information.

[0013] According to a third aspect of an embodiment of the present disclosure, a method for transmitting information is provided. The method is performed by a second entity and includes:

[0014] receiving a second request sent by the first entity, wherein the second request includes artificial intelligence (AI) parameters of the terminal;

[0015] Send a second response to the first entity, wherein the second response includes AI model information.

[0016] According to a fourth aspect of an embodiment of the present disclosure, a method for transmitting information is provided. The method is used for a core network device, including:

[0017] The first entity receives a first request sent by the terminal, wherein the first request includes artificial intelligence (AI) parameters of the terminal;

[0018] The first entity sends a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal;

[0019] The second entity sends a second response to the first entity, wherein the second response includes AI model information;

[0020] The first entity sends a first response to the terminal, wherein the first response includes the AI ​​model information.

[0021] According to a fifth aspect of an embodiment of the present disclosure, a method for transmitting information is provided. The method is used in a communication system, the communication system including a terminal, a first entity, and a second entity. The method includes at least one of the following:

[0022] The terminal sends a first request to the first entity, wherein the first request includes artificial intelligence (AI) parameters;

[0023] The first entity sends a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal;

[0024] The second entity sends a second response to the first entity, wherein the second response includes AI model information;

[0025] The first entity sends a first response to the terminal, wherein the first response includes the AI ​​model information.

[0026] According to a sixth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0027] A transceiver module, configured to send a first request to a first entity, wherein the first request includes artificial intelligence (AI) parameters;

[0028] The transceiver module is used to receive a first response sent by the first entity, wherein the first response includes AI model information.

[0029] According to a seventh aspect of an embodiment of the present disclosure, a first entity is provided, including:

[0030] a transceiver module, configured to receive a first request sent by a terminal, wherein the first request includes artificial intelligence (AI) parameters of the terminal;

[0031] The transceiver module is configured to send a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal;

[0032] The transceiver module is configured to receive a second response sent by the second entity, wherein the second response includes AI model information;

[0033] The transceiver module is used to send a first response to the terminal, wherein the first response includes the AI ​​model information.

[0034] According to an eighth aspect of an embodiment of the present disclosure, a second entity is provided, including:

[0035] a transceiver module, configured to receive a second request sent by the first entity, wherein the second request includes artificial intelligence (AI) parameters of the terminal;

[0036] The transceiver module is used to send a second response to the first entity, wherein the second response includes AI model information.

[0037] According to a ninth aspect of an embodiment of the present disclosure, a communication device is provided, including:

[0038] one or more processors;

[0039] The processor is used to call instructions to enable the communication device to execute the processing method described in any one of the first aspect, the second aspect, and the third aspect.

[0040] According to the tenth aspect of an embodiment of the present disclosure, a communication system is proposed, characterized in that it includes a terminal, a first entity, and a second entity, wherein the terminal is configured to implement the processing method described in the first aspect, the first entity is configured to implement the processing method described in the second aspect, and the second entity is configured to implement the method described in the third aspect.

[0041] According to the eleventh aspect of the embodiment of the present disclosure, a storage medium is proposed, which stores instructions, and is characterized in that when the instructions are executed on a communication device, the communication device executes the processing method described in any one of the first aspect, the second aspect, and the third aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] 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.

[0043] FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure;

[0044] FIG2 is an interactive schematic diagram of a method for transmitting information according to an embodiment of the present disclosure;

[0045] 3A-3B are flowcharts of a method for transmitting information according to an embodiment of the present disclosure;

[0046] 4A-4B are flowcharts of a method for transmitting information according to an embodiment of the present disclosure;

[0047] FIG5 is a flow chart of a method for transmitting information according to an embodiment of the present disclosure;

[0048] 6A-6C are interactive schematic diagrams illustrating a method for transmitting information according to an embodiment of the present disclosure;

[0049] FIG7A is a schematic structural diagram of a terminal proposed in an embodiment of the present disclosure;

[0050] FIG7B is a schematic structural diagram of a first node proposed in an embodiment of the present disclosure;

[0051] FIG7C is a schematic structural diagram of a second node proposed in an embodiment of the present disclosure;

[0052] FIG8A is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure;

[0053] FIG8B is a schematic diagram of the structure of the chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0054] The embodiments of the present disclosure provide an information transmission method, a terminal, a first entity, and a second entity.

[0055] In a first aspect, an embodiment of the present disclosure provides a method for transmitting information, the method being executed by a terminal, the method comprising:

[0056] Sending a first request to a first entity, wherein the first request includes artificial intelligence (AI) parameters;

[0057] Receive a first response sent by the first entity, wherein the first response includes AI model information.

[0058] In the above embodiment, the terminal sends a first request to the first entity and receives a first response returned by the first entity, so that the terminal can quickly and accurately obtain the AI ​​model, thereby realizing the AI ​​model delivery problem of AI capability negotiation between the terminal and the network device.

[0059] In combination with some embodiments of the first aspect, in some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0060] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​model information includes at least one of the following:

[0061] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0062] In the above embodiment, based on the AI ​​model information, the terminal can accurately obtain the information of the required AI model.

[0063] In combination with some embodiments of the first aspect, in some embodiments, an AI model is acquired based on the AI ​​model information.

[0064] In the above embodiment, based on the AI ​​model information, the terminal can quickly obtain the AI ​​model, thereby solving the problem of delivering AI negotiation capabilities between the terminal and the network.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, obtaining the AI ​​model based on the AI ​​model information includes:

[0066] Based on the AI ​​model information, the AI ​​model is obtained from a database.

[0067] In the above embodiment, based on the AI ​​model information, the terminal may obtain the AI ​​model from a local database specifically used to store AI models, or the terminal may also obtain the AI ​​model from a local database used to store all data.

[0068] In conjunction with some embodiments of the first aspect, in some embodiments, obtaining the AI ​​model based on the AI ​​model information includes:

[0069] Based on the AI ​​model storage address in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane process or a control plane process.

[0070] In the above embodiment, if the local database does not contain the AI ​​model required by the terminal, the terminal can obtain the AI ​​model from the network based on the AI ​​model storage address in the AI ​​model information.

[0071] In combination with some embodiments of the first aspect, in some embodiments, the second entity is a terminal radio capability management function UCMF entity.

[0072] In conjunction with some embodiments of the first aspect, in some embodiments, after obtaining the AI ​​model, the method further includes:

[0073] The AI ​​parameters, the AI ​​model information, and the AI ​​model are associated and stored.

[0074] In combination with some embodiments of the first aspect, in some embodiments, the AI ​​model is run.

[0075] In combination with some embodiments of the first aspect, in some embodiments, the first request is an access request, and the AI ​​parameter is included in the access network parameter.

[0076] In a second aspect, an embodiment of the present disclosure provides a method for transmitting information, the method being performed by a first entity and comprising:

[0077] Receiving a first request sent by a terminal, wherein the first request includes artificial intelligence (AI) parameters of the terminal;

[0078] Sending a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal;

[0079] receiving a second response sent by the second entity, wherein the second response includes AI model information;

[0080] Send a first response to the terminal, wherein the first response includes the AI ​​model information.

[0081] In combination with some embodiments of the second aspect, in some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0082] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​model information includes at least one of the following:

[0083] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0084] In conjunction with some embodiments of the second aspect, in some embodiments, sending the second request to the second entity includes:

[0085] Determine that the AI ​​capability or AI function indicated by the AI ​​parameter is supported, and send a second request to the second entity.

[0086] In combination with some embodiments of the second aspect, in some embodiments, based on the associated AI information, the public land mobile network PLMN policy and at least one of the AI ​​parameters, it is determined whether the AI ​​capability or AI function indicated by the AI ​​parameter is supported.

[0087] In combination with some embodiments of the second aspect, in some embodiments, an AI model is acquired based on the AI ​​model information.

[0088] In conjunction with some embodiments of the second aspect, in some embodiments, obtaining the AI ​​model based on the AI ​​model information includes:

[0089] Based on the AI ​​model information, the AI ​​model is obtained from a database.

[0090] In conjunction with some embodiments of the second aspect, in some embodiments, obtaining the AI ​​model based on the AI ​​model information includes:

[0091] Based on the storage address of the AI ​​model in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane process or a control plane process.

[0092] In combination with some embodiments of the second aspect, in some embodiments, the second entity is a terminal radio capability management function UCMF entity.

[0093] In conjunction with some embodiments of the second aspect, in some embodiments, after obtaining the model based on the AI ​​model information, the method further includes:

[0094] The AI ​​parameters, the AI ​​model information, and the AI ​​model are associated and stored.

[0095] In combination with some embodiments of the second aspect, in some embodiments, the AI ​​model is run.

[0096] In conjunction with some embodiments of the second aspect, in some embodiments, after receiving the first request sent by the terminal, the method further includes:

[0097] The terminal identifier is associated with the AI ​​parameter and stored.

[0098] In combination with some embodiments of the second aspect, in some embodiments, the first request is an access request, and the AI ​​parameter is included in the access network parameter.

[0099] In a third aspect, an embodiment of the present disclosure provides a method for transmitting information, the method being performed by a second entity, and the method including:

[0100] receiving a second request sent by the first entity, wherein the second request includes artificial intelligence (AI) parameters of the terminal;

[0101] Send a second response to the first entity, wherein the second response includes AI model information.

[0102] In combination with some embodiments of the third aspect, in some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0103] In conjunction with some embodiments of the third aspect, in some embodiments, the AI ​​model information includes at least one of the following:

[0104] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0105] In a fourth aspect, an embodiment of the present disclosure provides a method for transmitting information, the method being used for a core network device, the method including at least one of the following:

[0106] The first entity receives a first request sent by the terminal, wherein the first request includes artificial intelligence (AI) parameters of the terminal;

[0107] The first entity sends a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal;

[0108] The second entity sends a second response to the first entity, wherein the second response includes AI model information;

[0109] The first entity sends a first response to the terminal, wherein the first response includes the AI ​​model information.

[0110] In a fifth aspect, an embodiment of the present disclosure provides a method for transmitting information, the method being used in a communication system including a terminal, a first entity, and a second entity, the method including at least one of the following:

[0111] The terminal sends a first request to the first entity, wherein the first request includes artificial intelligence (AI) parameters;

[0112] The first entity sends a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal;

[0113] The second entity sends a second response to the first entity, wherein the second response includes AI model information;

[0114] The first entity sends a first response to the terminal, wherein the first response includes the AI ​​model information.

[0115] In a sixth aspect, an embodiment of the present disclosure provides a terminal, wherein the terminal includes:

[0116] A transceiver module, configured to send a first request to a first entity, wherein the first request includes artificial intelligence (AI) parameters;

[0117] The transceiver module is used to receive a first response sent by the first entity, wherein the first response includes AI model information.

[0118] In combination with some embodiments of the sixth aspect, in some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0119] In conjunction with some embodiments of the sixth aspect, in some embodiments, the AI ​​model information includes at least one of the following:

[0120] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0121] In conjunction with some embodiments of the sixth aspect, in some embodiments, the method further includes:

[0122] The processing module is used to obtain an AI model based on the AI ​​model information.

[0123] In conjunction with some embodiments of the sixth aspect, in some embodiments, the processing module is further configured to:

[0124] Based on the AI ​​model information, the AI ​​model is obtained from a database.

[0125] In conjunction with some embodiments of the sixth aspect, in some embodiments, the processing module is further configured to:

[0126] Based on the AI ​​model storage address in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane process or a control plane process.

[0127] In combination with some embodiments of the sixth aspect, in some embodiments, the second entity is a terminal radio capability management function UCMF entity.

[0128] In conjunction with some embodiments of the sixth aspect, in some embodiments, after obtaining the AI ​​model, the method further includes:

[0129] The processing module is used to associate and store the AI ​​parameters, the AI ​​model information, and the AI ​​model.

[0130] In conjunction with some embodiments of the sixth aspect, in some embodiments, the method further includes:

[0131] Run the AI ​​model.

[0132] In combination with some embodiments of the sixth aspect, in some embodiments, the first request is an access request, and the AI ​​parameter is included in the access network parameter.

[0133] In a seventh aspect, an embodiment of the present disclosure provides a first entity, where the first entity includes:

[0134] a transceiver module, configured to receive a first request sent by a terminal, wherein the first request includes artificial intelligence (AI) parameters of the terminal;

[0135] The transceiver module is configured to send a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal;

[0136] The transceiver module is configured to receive a second response sent by the second entity, wherein the second response includes AI model information;

[0137] The transceiver module is used to send a first response to the terminal, wherein the first response includes the AI ​​model information.

[0138] In combination with some embodiments of the seventh aspect, in some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0139] In conjunction with some embodiments of the seventh aspect, in some embodiments, the AI ​​model information includes at least one of the following:

[0140] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0141] In conjunction with some embodiments of the seventh aspect, in some embodiments, the method further includes:

[0142] The processing module is configured to determine whether the AI ​​capability or AI function indicated by the AI ​​parameter is supported based on the associated AI information, a public land mobile network (PLMN) policy, and at least one of the AI ​​parameters.

[0143] In conjunction with some embodiments of the seventh aspect, in some embodiments, the method further includes:

[0144] The processing module is used to obtain an AI model based on the AI ​​model information.

[0145] In conjunction with some embodiments of the seventh aspect, in some embodiments, the combing module is further used to:

[0146] Based on the AI ​​model information, the AI ​​model is obtained from a database.

[0147] In conjunction with some embodiments of the seventh aspect, in some embodiments, the processing module is further configured to:

[0148] Based on the storage address of the AI ​​model in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane process or a control plane process.

[0149] In combination with some embodiments of the seventh aspect, in some embodiments, the second entity is a terminal radio capability management function UCMF entity.

[0150] In conjunction with some embodiments of the seventh aspect, in some embodiments, after acquiring the model based on the AI ​​model information, the method further includes:

[0151] The processing module is used to associate and store the AI ​​parameters, the AI ​​model information, and the AI ​​model.

[0152] In conjunction with some embodiments of the seventh aspect, in some embodiments, the method further includes:

[0153] The processing module is used to run the AI ​​model.

[0154] In conjunction with some embodiments of the seventh aspect, in some embodiments, after receiving the first request sent by the terminal, the method further includes:

[0155] The processing module is configured to associate and store the terminal identifier with the AI ​​parameter.

[0156] In combination with some embodiments of the seventh aspect, in some embodiments, the first request is an access request, and the AI ​​parameter is included in the access network parameter.

[0157] In an eighth aspect, an embodiment of the present disclosure provides a second entity, where the second entity includes:

[0158] a transceiver module, configured to receive a second request sent by the first entity, wherein the second request includes artificial intelligence (AI) parameters of the terminal;

[0159] The transceiver module is used to send a second response to the first entity, wherein the second response includes AI model information.

[0160] In combination with some embodiments of the eighth aspect, in some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0161] In conjunction with some embodiments of the eighth aspect, in some embodiments, the AI ​​model information includes at least one of the following:

[0162] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0163] In a ninth aspect, an embodiment of the present disclosure proposes a terminal, which includes: one or more processors; wherein the processors are used to execute the optional implementation method of the first aspect.

[0164] In a tenth aspect, an embodiment of the present disclosure proposes a first entity, which includes: one or more processors; wherein the processors are used to execute the optional implementation method of the second aspect.

[0165] In the eleventh aspect, an embodiment of the present disclosure proposes a second entity, and the second entity includes: one or more processors; wherein the processors are used to execute the optional implementation method of the third aspect.

[0166] In the twelfth aspect, an embodiment of the present disclosure proposes a communication system, which includes: a terminal, a first entity, and a second entity; wherein the terminal is configured to execute the method described in the optional implementation manner of the first aspect, the first entity is configured to execute the method described in the optional implementation manner of the second aspect, and the second entity is configured to execute the method described in the optional implementation manner of the third aspect.

[0167] In the thirteenth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the optional implementation of the first aspect, the second aspect, and the third aspect.

[0168] In the fourteenth 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, and the third aspect.

[0169] In the fifteenth 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, second, and third aspects.

[0170] In a sixteenth 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, second, and third aspects above.

[0171] It is understandable that the above-mentioned terminal, first entity, second entity, communication system, 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 of the corresponding method and will not be repeated here.

[0172] The present disclosure provides an information transmission method. In some embodiments, the terms "information transmission method," "measurement report configuration method," "configuration method," and "communication method" are interchangeable; the terms "information processing device," "information configuration device," and "communication device" are interchangeable; and the terms "information transmission system," "information configuration system," and "communication system" are interchangeable.

[0173] 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.

[0174] 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.

[0175] 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.

[0176] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0177] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0178] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0179] 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.

[0180] 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.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] 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.

[0185] 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.

[0186] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0187] 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", "macrocell", "smallcell", "femtocell", "picocell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.

[0188] 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 (subscriber station), mobile unit (mobile unit), subscriber unit (subscribe runit), wireless unit (wireless unit), remote unit (remote unit), mobile device (mobile device), wireless device (wireless device), wireless communication device (wireless communication device), remote device (remoted device), mobile subscriber station (mobile subscriber station), access terminal (access terminal), mobile terminal (mobile terminal), wireless terminal (wireless terminal), remote terminal (remote terminal), handset (handset), user agent (user agent), mobile client (mobile client), client (client), etc.

[0189] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0190] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0191] 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.

[0192] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0193] As shown in FIG1 , a communication system 100 includes a terminal 101 , an access network device 102 , and a core network device 103 .

[0194] In some embodiments, the terminal 101 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.

[0195] In some embodiments, the access network device 102 is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0196] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0197] In some embodiments, the core network device 103 may be a single device including a first entity 1031, a second entity 1032, etc., or may be a plurality of devices or a device group, each including all or part of the first entity 1031, the second entity 1032, etc. The core network includes, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0198] In some embodiments, the first entity 1031 is, for example, an Access and Mobility Management Function (AMF) entity.

[0199] In some embodiments, the second entity 1032 is, for example, a User Equipment Radio Capability Management Function (UCMF) entity.

[0200] 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.

[0201] 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.

[0202] The embodiments of the present disclosure may be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER3G, 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), IEEE802.11 (Wi-Fi (registered trademark)), IEEE802.16 (WiMAX (registered trademark)), IEEE802.20, Ultra-WideBand (Ultra-WideBand) The following are examples of technologies that may be used in the future: Ultrawide Band (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, a combination of multiple systems (e.g., a combination of LTE or LTE-A with 5G) may also be used.

[0203] Introducing AI / ML models into communication systems can have the following benefits:

[0204] Improved network performance. AI / ML models can analyze large amounts of data from the network to identify patterns and trends, enabling better resource allocation, load balancing, location tracking, and interference management. This can improve network performance, including higher data rates, lower latency, and better coverage.

[0205] Network automation: AI / ML enables smarter and more automated network management, reducing the need for manual intervention and enabling operators to focus on more strategic tasks.

[0206] Improve energy efficiency. AI / ML can optimize the use of network resources, thereby reducing energy consumption and operating costs for network operators

[0207] By using AI models in UE or NG-RAN, communication system performance can be improved in the following scenarios: AI / ML-based channel state information (CSI), AI / ML-based beam management, AI / ML-based positioning, AI / ML-based network energy saving; AI / ML-based load balancing; AI / ML-based mobility optimization, etc.

[0208] By introducing a new "UE AI Capability ID" indication provided by the UE to the UCMF (UE Capability Management Function), the UCMF provides the AI ​​model ID and optional AI model address to the UE during the registration process so that the UE can obtain the AI ​​model.

[0209] FIG2 is an interactive diagram of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG2 , an embodiment of the present disclosure relates to a method for transmitting information, and the method includes:

[0210] Step S2101 : The terminal 101 sends a first request to the first entity 1031 .

[0211] In some embodiments, the first entity 1031 may be an AMF entity.

[0212] In some embodiments, the terms "AMF", "Access and Mobility Management Function (AMF)" and the like may be used interchangeably.

[0213] In some embodiments, the terminal 101 sends a first request to the first entity 1031 (e.g., AMF) through an access network device, such as a RAN base station.

[0214] In some embodiments, the terms "RAN", "Radio Access Network (RAN)", etc. can be used interchangeably.

[0215] In some embodiments, the first request includes artificial intelligence (AI) parameters.

[0216] In some embodiments, the AI ​​parameter may include at least one of the following: an AI capability identification ID (Artificial Intelligence Capability Identification, AI Capability ID), or an AI functionality identification ID (Artificial Intelligence Functionality Identification, AI Functionality ID).

[0217] In some embodiments, the first request may be a registration request.

[0218] In some embodiments, the AI ​​parameters may be included in the Access Network (AN) parameters.

[0219] In some embodiments, the first entity 1031 receives a first request sent by the terminal 101 .

[0220] In some embodiments, the AI ​​parameters are used to indicate the AI ​​capabilities of the terminal, such as AI-based CSI, AI-based beam management, AI-based positioning, etc.

[0221] In some embodiments, terms such as "CSI" and "Channel State Information (CSI)" may be used interchangeably.

[0222] In some embodiments, the number of AI parameters included in the first request may be one or more, which is not limited in this disclosure.

[0223] In some embodiments, after receiving the first request, the first entity 1031 associates the terminal identifier with the AI ​​parameter and stores it.

[0224] In step S2102 , the first entity 1031 determines whether the AI ​​capability or AI function indicated by the AI ​​parameter is supported.

[0225] In some embodiments, the first entity 1031 may determine whether the AI ​​capability or AI function indicated by the AI ​​parameter is supported based on at least one of the associated AI information, a Public Land Mobile Network (PLMN) policy, and the AI ​​parameter.

[0226] In some embodiments, the associated AI information is AI capability information and / or AI function information of the first entity 1031. The associated AI information may be pre-set in the first entity 1031 or agreed upon in a protocol, which is not limited in this disclosure.

[0227] In some embodiments, the AI ​​information may be an AI parameter, or may be other information associated with the AI ​​parameter, which is not limited in this disclosure.

[0228] In some embodiments, if the first request received by the first entity 1031 includes AI parameter #1, and the associated AI information of the first entity 1031 includes AI parameter #1, the first entity 1031 may determine that it supports the AI ​​capability indicated by AI parameter #1. Alternatively, if the associated AI information of the first entity 1031 does not include AI parameter #1, the first entity 1031 may determine that it does not support the AI ​​capability indicated by AI parameter #1.

[0229] In some embodiments, if the first request received by the first entity 1031 includes AI parameter #1, and the AI ​​information associated with the first entity 1031 includes AI parameter #1, but the PLMN policy indicates that the AI ​​capability indicated by AI parameter #1 is not provided to roaming UEs, the first entity 1031 determines that the terminal sending the first request is a roaming UE, and thus can determine that the terminal does not currently support the AI ​​capability indicated by AI parameter #1.

[0230] Step S2103 : The first entity 1031 sends a second request to the second entity 1032 .

[0231] In some embodiments, the second entity may be a terminal radio capability management function UCMF entity.

[0232] In some embodiments, the terms such as the second entity, “UCMF”, and “terminal wireless capability management function” may be used interchangeably.

[0233] In some embodiments, the name of the second request is not limited, and may be, for example, "Nucmf_UE Capability Management_Resolve request" or the like.

[0234] In some embodiments, the second request includes AI parameters and an identifier of the terminal.

[0235] In some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID. For specific implementation, refer to step S2101 and will not be repeated here.

[0236] In some embodiments, after determining that the AI ​​capability or AI function indicated by the AI ​​parameter is supported, the first entity 1031 sends a second request to the second entity 1032 .

[0237] In some embodiments, the second entity 1032 receives the second request sent by the first entity 1031 .

[0238] In some embodiments, the first entity 1031 does not support the AI ​​capability or AI function indicated by the AI ​​parameter and ignores the first request.

[0239] In some embodiments, the first entity 1031 does not support the AI ​​capability or AI function indicated by the AI ​​parameter, and sends indication information to the terminal to indicate that it does not support the AI ​​capability or AI function indicated by the AI ​​parameter.

[0240] Step S2104 : The second entity 1032 sends a second response to the first entity 1031 .

[0241] In some embodiments, the name of the second response is not limited, and may be, for example, "Nucmf_UE Capability Management_Resolve response" or the like.

[0242] In some embodiments, the second response includes AI model information.

[0243] In some embodiments, the AI ​​model information includes at least one of the following: one or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0244] In some embodiments, the AI ​​model address may be the IP address where the AI ​​model is stored.

[0245] In some embodiments, the first entity 1031 receives a second response sent by the second entity 1032 .

[0246] In step S2105 , the first entity 1031 obtains the AI ​​model based on the AI ​​model information.

[0247] In some embodiments, the first entity 1031 may obtain the AI ​​model from a database based on the AI ​​model information.

[0248] In some embodiments, the first entity 1031 may obtain the AI ​​model from a local database specifically used to store AI models, or the first entity may also obtain the AI ​​model from a local database used to store all data.

[0249] In some embodiments, the first entity 1031 may also obtain the AI ​​model from the second entity 1032 through a user plane process or a control plane process based on the storage address of the AI ​​model in the AI ​​model information.

[0250] In some embodiments, if the first entity 1031 fails to obtain the required AI model in the local database, it may request it from the network through a user plane process or a control plane process based on the storage address of the AI ​​model.

[0251] In some embodiments, the second entity 1032 may be a terminal radio capability management function UCMF entity.

[0252] In some embodiments, after obtaining the AI ​​model, the first entity 1031 associates and stores the AI ​​parameters, AI model information, and AI model.

[0253] Step S2106 : The first entity 1031 sends a first response to the terminal 101 .

[0254] In some embodiments, the name of the first response is not limited, and may be, for example, "registration accept message", "registration accept message", etc.

[0255] In some embodiments, the first response includes AI model information.

[0256] In some embodiments, the terminal 101 receives a first response sent by the first entity 1031 .

[0257] In some embodiments, the AI ​​model information includes at least one of the following: one or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers. The specific implementation form refers to step S2103 and will not be repeated here.

[0258] In some embodiments, after receiving the first response, the terminal 101 can obtain the AI ​​model based on the AI ​​model information in the first response.

[0259] In some embodiments, the terminal 101 may obtain the AI ​​model from the database based on the AI ​​model information.

[0260] In some embodiments, the terminal 101 may obtain the AI ​​model from a local database based on the AI ​​model ID and / or the AI ​​model version number.

[0261] In some embodiments, the terminal 101 may also obtain the AI ​​model from the second entity through a user plane process or a control plane process based on the AI ​​model storage address in the AI ​​model information.

[0262] In some embodiments, if the terminal 101 does not obtain the required AI model in the local database, it can request it from the network through a user plane process or a control plane process based on the storage address of the AI ​​model.

[0263] In some embodiments, the second entity 1032 may be a terminal radio capability management function UCMF entity.

[0264] In some embodiments, after obtaining the AI ​​model, the terminal 101 associates and stores the AI ​​parameters, AI model information, and AI model.

[0265] In some embodiments, the order of the above-mentioned step S2105 and step S2106 can be interchanged, for example, step S2106 is executed first, and then step S2105 is executed.

[0266] In some embodiments, the above-mentioned step S2105 and step S2106 may also be executed in parallel, which is not limited in the present disclosure.

[0267] In step S2107, the terminal 101 obtains the AI ​​model based on the AI ​​model information.

[0268] In some embodiments, the terminal 101 stores an AI model associated with the AI ​​model information. After receiving the first response, the terminal 101 can obtain the AI ​​model based on the AI ​​model information in the first response.

[0269] In some embodiments, the terminal 101 can obtain the AI ​​model from the database based on the AI ​​model information. The specific implementation form refers to step S2106 and will not be repeated here.

[0270] In some embodiments, the terminal 101 can obtain the AI ​​model from the second entity through a user plane process or a control plane process based on the AI ​​model storage address in the AI ​​model information. The specific implementation form refers to step S2106 and will not be repeated here.

[0271] In some embodiments, the first response includes multiple AI model information, and the terminal can obtain multiple AI models.

[0272] Step S2108: Terminal 101 runs the AI ​​model.

[0273] In some embodiments, if terminal 101 obtains multiple AI models that can be run, it can select one AI model to run. For example, it can run the first AI model; or the last AI model; or the AI ​​model that occupies the least amount of resources, etc. This disclosure is not limited to this.

[0274] In some embodiments, the AI ​​parameters may correspond to one or more AI model information.

[0275] In step S2109 , the first entity 1031 runs the AI ​​model.

[0276] In some embodiments, if the first entity 1031 obtains multiple executable AI models, it may select one AI model to run, for example, the first AI model to run, the last AI model to run, or the AI ​​model that occupies the least resources, etc., although this disclosure does not limit this.

[0277] In some embodiments, the order of the above-mentioned step S2108 and step S2109 can be interchanged, for example, step S2108 is executed first, and then step S2109 is executed.

[0278] In some embodiments, the above-mentioned step S2108 and step S2109 may also be executed in parallel, which is not limited in this disclosure.

[0279] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2109. For example, step S2101 may be implemented as an independent embodiment, step S2102 may be implemented as an independent embodiment, and steps S2101+S2103 may be implemented as independent embodiments, but are not limited thereto.

[0280] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0281] FIG3A is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to a method for transmitting information, which is used in a terminal 101 and includes:

[0282] Step S3101: Send a first request to the first entity 1031.

[0283] In some embodiments, the terminal 101 sends a first request to the first entity 1031 .

[0284] In some embodiments, the first request includes AI parameters.

[0285] Step S3102 : Receive a first response sent by the first entity 1031 .

[0286] In some embodiments, the terminal 101 receives a first response sent by the first entity 1031 .

[0287] In some embodiments, the first response includes AI model information.

[0288] In some embodiments, after receiving the first response, the terminal 101 can obtain the AI ​​model based on the AI ​​model information in the first response.

[0289] Step S3103: Obtain the AI ​​model based on the AI ​​model information.

[0290] In some embodiments, the terminal 101 stores an AI model associated with the AI ​​model information. After receiving the first response, the terminal 101 can obtain the AI ​​model based on the AI ​​model information in the first response.

[0291] Step S3104, run the AI ​​model.

[0292] For a detailed description of steps S3101-S3104, please refer to the detailed description in the embodiment shown in FIG2, which will not be repeated here.

[0293] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3104. For example, steps S3101+S3102 may be implemented as independent embodiments, and step S3103 may be implemented as an independent embodiment, etc., but the present invention is not limited thereto.

[0294] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0295] FIG3B is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to a method for transmitting information, which is used in terminal 101 and includes:

[0296] Step S3201: Send a first request to the first entity 1031.

[0297] In some embodiments, the terminal 101 sends a first request to the first entity 1031 .

[0298] In some embodiments, the first request includes AI parameters.

[0299] Step S3202: Receive a first response sent by the first entity 1031.

[0300] In some embodiments, the terminal 101 receives a first response sent by the first entity 1031 .

[0301] In some embodiments, the first response includes AI model information.

[0302] In some embodiments, after receiving the first response, the terminal 101 can obtain the AI ​​model based on the AI ​​model information in the first response.

[0303] In some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0304] In some embodiments, the AI ​​model information includes at least one of the following:

[0305] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0306] In some embodiments, obtaining the AI ​​model based on the AI ​​model information includes:

[0307] Based on the AI ​​model information, the AI ​​model is obtained from a database.

[0308] In some embodiments, the second entity is a terminal radio capability management function UCMF entity.

[0309] In some embodiments, after obtaining the AI ​​model, the method further includes:

[0310] The AI ​​parameters, the AI ​​model information, and the AI ​​model are associated and stored.

[0311] In some embodiments, the AI ​​model is run.

[0312] In some embodiments, the first request is an access request, and the AI ​​parameter is included in an access network parameter.

[0313] For a detailed description of steps S3201 - S3202 , please refer to the above embodiment description.

[0314] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S3201 and S3202. For example, step S3201 may be implemented as an independent embodiment, step S3202 may be implemented as an independent embodiment, and steps S3201+S3202 may be implemented as independent embodiments, but are not limited thereto.

[0315] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0316] FIG4A is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG4A , the embodiment of the present disclosure relates to a method for transmitting information, which is used by a first entity 1031 and includes:

[0317] Step S4101: Receive the first request sent by terminal 101.

[0318] In some embodiments, the first entity 1031 receives a first request sent by the terminal 101 .

[0319] In some embodiments, the first request includes artificial intelligence (AI) parameters.

[0320] Step S4102: Send a second request to the second entity 1032.

[0321] In some embodiments, the first entity 1031 sends a second request to the second entity 1032 .

[0322] In some embodiments, the second request includes AI parameters and an identifier of the terminal.

[0323] In some embodiments, after determining that the AI ​​capability or AI function indicated by the AI ​​parameter is supported, the first entity 1031 sends a second request to the second entity 1032 .

[0324] Step S4103: Receive a second response sent by the second entity 1032.

[0325] In some embodiments, the first entity 1031 receives a second response sent by the second entity 1032 .

[0326] In some embodiments, the second response includes AI model information.

[0327] Step S4104: Obtain the AI ​​model based on the AI ​​model information.

[0328] In some embodiments, the first entity 1031 obtains the AI ​​model from the AI ​​model information.

[0329] Step S4105: Send a first response to terminal 101.

[0330] In some embodiments, the first entity 1031 sends a first response to the terminal 101 .

[0331] In some embodiments, the first response includes AI model information.

[0332] Step S4106, run the AI ​​model.

[0333] For a detailed description of steps S4101-S4106, please refer to the detailed description of the above embodiments, which will not be repeated here.

[0334] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S4101 to S4106. For example, step S4101 may be implemented as an independent embodiment, step S4102 may be implemented as an independent embodiment, and steps S4101+S4102 may be implemented as independent embodiments, but are not limited thereto.

[0335] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0336] FIG4B is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG4B , the embodiment of the present disclosure relates to a method for transmitting information, which is used by a first entity 1031 and includes:

[0337] Step S4201: Receive the first request sent by terminal 101.

[0338] In some embodiments, the first entity 1031 receives a first request sent by the terminal 101 .

[0339] In some embodiments, the first request includes artificial intelligence (AI) parameters.

[0340] Step S4202: Send a second request to the second entity 1032.

[0341] In some embodiments, the first entity 1031 sends a second request to the second entity 1032 .

[0342] In some embodiments, the second request includes AI parameters and an identifier of the terminal.

[0343] In some embodiments, after determining that the AI ​​capability or AI function indicated by the AI ​​parameter is supported, the first entity 1031 sends a second request to the second entity 1032 .

[0344] Step S4203: Receive a second response sent by the second entity 1032.

[0345] In some embodiments, the first entity 1031 receives a second response sent by the second entity 1032 .

[0346] In some embodiments, the second response includes AI model information.

[0347] Step S4204: Send a first response to terminal 101.

[0348] In some embodiments, the first entity 1031 sends a first response to the terminal 101 .

[0349] In some embodiments, the first response includes AI model information.

[0350] In some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0351] In some embodiments, the AI ​​model information includes at least one of the following:

[0352] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0353] In some embodiments, sending the second request to the second entity includes:

[0354] Determine whether the AI ​​capability or AI function indicated by the AI ​​parameter is supported, and send a second request to the second entity.

[0355] In some embodiments, it further includes:

[0356] Based on at least one of the associated AI information, a public land mobile network (PLMN) policy, and an AI parameter, it is determined whether the AI ​​capability or AI function indicated by the AI ​​parameter is supported.

[0357] In some embodiments, it further includes:

[0358] Obtain the AI ​​model based on the AI ​​model information.

[0359] In some embodiments, obtaining an AI model based on the AI ​​model information includes:

[0360] Based on the AI ​​model information, obtain the AI ​​model from the database.

[0361] In some embodiments, obtaining an AI model based on the AI ​​model information includes:

[0362] Based on the storage address of the AI ​​model in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane process or a control plane process.

[0363] In some embodiments, the second entity is a terminal radio capability management function UCMF entity.

[0364] In some embodiments, after obtaining the model based on the AI ​​model information, the method further includes:

[0365] AI parameters, AI model information, and AI models are stored in an associated manner.

[0366] In some embodiments, it further includes:

[0367] Run the AI ​​model.

[0368] In some embodiments, after receiving the first request sent by the terminal, the method further includes:

[0369] The terminal identifier is associated with the AI ​​parameters and stored.

[0370] In some embodiments, the first request is an access request, and the AI ​​parameter is included in the access network parameters.

[0371] For a detailed description of steps S4201-S4204, please refer to the above embodiment description.

[0372] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S4201 to S4204. For example, step S4201 may be implemented as an independent embodiment, step S4202 may be implemented as an independent embodiment, and steps S4201+S4202 may be implemented as independent embodiments, but are not limited thereto.

[0373] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0374] FIG5 is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG5 , the embodiment of the present disclosure relates to a method for transmitting information, which is used by the second entity 1032 and includes:

[0375] Step S5101: Receive a second request sent by the first entity 1031.

[0376] In some embodiments, the second entity 1032 receives the second request sent by the first entity 1031 .

[0377] In some embodiments, the second request includes AI parameters and an identifier of the terminal.

[0378] Step S5102: Send a second response to the first entity 1031.

[0379] In some embodiments, the second entity 1032 sends a second response to the first entity 1031 .

[0380] In some embodiments, the second response includes AI model information.

[0381] In some embodiments, the AI ​​parameter includes at least one of the following: an AI capability identification ID, an AI function ID.

[0382] In some embodiments, the AI ​​model information includes at least one of the following:

[0383] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0384] For a detailed description of steps S5101 - S5102 , please refer to the above embodiment description.

[0385] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S5101 and S5102. For example, step S5101 may be implemented as an independent embodiment, step S5102 may be implemented as an independent embodiment, and steps S5101+S5102 may be implemented as independent embodiments, but are not limited thereto.

[0386] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0387] FIG6A is an interactive diagram of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG6A , the present disclosure embodiment relates to a method for transmitting information, which is used by first entities 1031 and 1032 and includes:

[0388] Step S6101: The first entity receives a first request sent by a terminal.

[0389] In some embodiments, the first request includes artificial intelligence (AI) parameters of the terminal;

[0390] Step S6102: The first entity sends a second request to the second entity.

[0391] In some embodiments, the second request includes the AI ​​parameters and the terminal identifier.

[0392] Step S6103: The second entity sends a second response to the first entity.

[0393] In some embodiments, the second response includes AI model information.

[0394] Step S6104: The first entity sends a first response to the terminal.

[0395] In some embodiments, the first response includes AI model information.

[0396] For a detailed description of steps S6101 - S6104 , please refer to the above embodiment description.

[0397] FIG6B is an interactive diagram of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG6B , an embodiment of the present disclosure relates to a method for transmitting information, which is used in a communication system. The method includes:

[0398] Step S6201: The terminal sends a first request to the first entity.

[0399] In some embodiments, the first request includes artificial intelligence (AI) parameters of the terminal;

[0400] Step S6202: The first entity sends a second request to the second entity.

[0401] In some embodiments, the second request includes the AI ​​parameters and the terminal identifier.

[0402] Step S6203: The second entity sends a second response to the first entity.

[0403] In some embodiments, the second response includes AI model information.

[0404] Step S6204: The first entity sends a first response to the terminal.

[0405] In some embodiments, the first response includes AI model information.

[0406] For a detailed description of steps S6201-S6204, please refer to the above embodiment description.

[0407] The following is an exemplary introduction to the above method.

[0408] This disclosure provides an AI model delivery method for resolving the UE AI capability negotiation issue between the UE and the network. Optional implementation solutions are as follows:

[0409] As shown in Figure 6C, Figure 6C is an interactive schematic diagram of the information transmission method according to an embodiment of the present disclosure. The embodiment of the present disclosure involves an information transmission method taking a communication system including a terminal, a RAN, an AMF entity, and a UCMF entity as an example. The method includes:

[0410] 0. UCMF stores all AI models with relevant information (e.g., AI model ID, UE AI capability ID (UE AI function ID), address of AI model ID, etc.).

[0411] It assumes that the UE is not equipped with an AI model and needs to dynamically obtain the AI ​​model during the UE AI capability negotiation process.

[0412] 1. The UE initiates a registration request, including the [UE AI capability ID], and sends it to the AMF via the Radio Access Network (RAN). The AMF determines whether the network can support the AI ​​operation corresponding to the UE AI capability ID.

[0413] If not, the AMF ignores the UE AI capability ID.

[0414] 2.AMF uses Nucmf_UECapabilityManagement_Resolve to request UCMF, including [UE AI capability ID].

[0415] 3. UCMF returns the AI ​​model ID based on the UE AI capability ID received from AMF.

[0416] Optionally, the method includes obtaining a related AI model address (eg, IP address) of the AI ​​model, so that the UE can obtain the AI ​​model.

[0417] 4. Authenticate (authorize) the UE.

[0418] Optionally, the process of authenticating (authorizing) the UE may be performed with reference to the following process:

[0419] The RAN first selects a (new) AMF for the UE. The RAN then sends a Registration Request to the selected new AMF. The new AMF then exchanges UE context information with the old AMF to obtain the UE context information. For example, the new AMF requests the UE context information from the old AMF via the Namf_communication_UE Context Transfer message. The old AMF then returns the UE context information to the new AMF via the Namf_communication_UE Context Transfer Response message.

[0420] Afterwards, the new AMF sends an Identity Request to the UE to initiate UE identity verification. After the UE sends an Identity Response message to the new AMF, the new AMF selects an Authentication Server Function (AUSF) network element for the UE. The AUSF then performs authentication and / or security verification on the UE.

[0421] Optionally, the new AMF then sends Namf communication registration status update information to the old AMF to update the UE context information to the old AMF. After that, the new AMF makes identity requests and responses with the UE again, and based on the information returned by the UE, the new AMF requests the UE's identity from the Equipment Identity Register (EIR), and then selects the Unified Data Management (UDM) network element based on the requested identity. The new AMF then completes the registration with the UDM. For example, the new AMF can interact with the UDM for registration requests, obtain and subscribe to the Service Delivery Management (SDM) network element, deregister Nudm_UECM, and cancel SDM subscriptions, etc.

[0422] Optionally, the new AMF can also select a PCF for the UE and establish / modify AM rule associations.

[0423] Optionally, the new AMF can also complete the UD session update and session release by interacting with the Protocol Data Unit (PDU).

[0424] Optionally, the new AMF can also complete the context modification of the UE by interacting with network elements such as the Trusted Non-3GPP Gateway Function (TNGF).

[0425] 5.AMF sends a registration accept message to the UE, which includes the AI ​​model ID and optional AI model address.

[0426] 6. If the required AI model is not available, the UE triggers the acquisition of the AI ​​model based on the AI ​​model address. Both the use plane and the control plane are acceptable.

[0427] 7. The UE and / or RAN performs AI operations based on the negotiated AI model, such as AI-based beam management.

[0428] 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., a RAN) in any of the above methods.

[0429] 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.

[0430] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by 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.

[0431] FIG7A is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure. As shown in FIG7A , the terminal 7100 may include at least one of a transceiver module 7101 and a processing module 7102. The terminal 7100 includes:

[0432] The transceiver module 7101 is configured to send a first request to the first entity, wherein the first request includes artificial intelligence (AI) parameters;

[0433] The transceiver module 7101 is used to receive a first response sent by a first entity, wherein the first response includes AI model information.

[0434] Optionally, the AI ​​parameter includes at least one of the following: an AI capability identifier ID, and an AI function ID.

[0435] Optionally, in some embodiments, the AI ​​model information includes at least one of the following:

[0436] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0437] Optionally, it also includes:

[0438] The processing module 7102 is used to obtain the AI ​​model based on the AI ​​model information.

[0439] Optionally, the processing module 7102 is further configured to:

[0440] Based on the AI ​​model information, obtain the AI ​​model from the database.

[0441] Optionally, the processing module 7102 is further configured to:

[0442] Based on the AI ​​model storage address in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane process or a control plane process.

[0443] Optionally, the second entity is a terminal radio capability management function UCMF entity.

[0444] Optionally, after obtaining the AI ​​model, the following steps are also included:

[0445] The processing module 7102 is used to associate and store AI parameters, AI model information, and AI models.

[0446] Optionally, it also includes:

[0447] Run the AI ​​model.

[0448] Optionally, the first request is an access request, and the AI ​​parameter is included in the access network parameter.

[0449] FIG7B is a schematic diagram of the structure of the first entity proposed in an embodiment of the present disclosure. As shown in FIG7B , the first entity 7200 may include: at least one of a transceiver module 7201 and a processing module 7202. The first entity 7200 includes:

[0450] The transceiver module 7201 is configured to receive a first request sent by a terminal, wherein the first request includes artificial intelligence (AI) parameters of the terminal;

[0451] The transceiver module 7201 is configured to send a second request to the second entity, where the second request includes an AI parameter and a terminal identifier;

[0452] The transceiver module 7201 is configured to receive a second response sent by the second entity, wherein the second response includes AI model information;

[0453] The transceiver module 7201 is used to send a first response to the terminal, where the first response includes AI model information.

[0454] Optionally, the AI ​​parameter includes at least one of the following: an AI capability identifier ID, and an AI function ID.

[0455] Optionally, the AI ​​model information includes at least one of the following:

[0456] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0457] Optionally, it also includes:

[0458] The processing module 7202 is configured to determine whether the AI ​​capability or AI function indicated by the AI ​​parameter is supported based on at least one of the associated AI information, the public land mobile network PLMN policy, and the AI ​​parameter.

[0459] Optionally, it also includes:

[0460] The processing module 7202 is used to obtain the AI ​​model based on the AI ​​model information.

[0461] Optionally, the combing module 7202 is further configured to:

[0462] Based on the AI ​​model information, an AI model is obtained from a database.

[0463] Optionally, the processing module 7202 is further configured to:

[0464] Based on the storage address of the AI ​​model in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane procedure or a control plane procedure.

[0465] Optionally, the second entity is a terminal radio capability management function UCMF entity.

[0466] Optionally, after obtaining the model based on the AI ​​model information, the method further includes:

[0467] The processing module 7202 is used to associate and store AI parameters, AI model information, and AI models.

[0468] Optionally, it also includes:

[0469] The processing module 7202 is used to run the AI ​​model.

[0470] Optionally, after receiving the first request sent by the terminal, the method further includes:

[0471] The processing module 7202 is configured to associate the terminal identifier with the AI ​​parameter and store the associated terminal identifier.

[0472] Optionally, the first request is an access request, and the AI ​​parameter is included in the access network parameter.

[0473] FIG7C is a schematic diagram of the structure of the second entity proposed in an embodiment of the present disclosure. As shown in FIG7C , the second entity 7300 may include at least one of a transceiver module 7301 and a processing module 7302. The second entity 7300 includes:

[0474] The transceiver module 7301 is configured to receive a second request sent by the first entity, wherein the second request includes artificial intelligence (AI) parameters of the terminal;

[0475] The transceiver module 7302 is used to send a second response to the first entity, wherein the second response includes AI model information.

[0476] Optionally, the AI ​​parameter includes at least one of the following: an AI capability identifier ID, and an AI function ID.

[0477] Optionally, the AI ​​model information includes at least one of the following:

[0478] One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

[0479] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0480] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0481] Figure 8A is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure. Communication device 8100 can be a terminal, a first entity, or a second entity. It can also be a chip, chip system, or processor that supports the terminal to implement any of the above methods. It can also be a chip, chip system, or processor that supports the first entity to implement any of the above methods. It can also be a chip, chip system, or processor that supports the second entity to implement any of the above methods. Communication device 8100 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.

[0482] As shown in Figure 8A, the communication device 8100 includes one or more processors 8101. The processor 8101 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 the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The communication device 8100 is used to perform any of the above methods.

[0483] In some embodiments, the communication device 8100 further includes one or more memories 8102 for storing instructions. Optionally, all or part of the memories 8102 may be located outside the communication device 8100.

[0484] In some embodiments, the communication device 8100 further includes one or more transceivers 8103. When the communication device 8100 includes one or more transceivers 8103, the transceiver 8103 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101, step S2103, step S2104, step S2106, but not limited thereto), and the processor 8101 performs the other steps (for example, step S2102, step S2105, step S2107, step S2108).

[0485] 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.

[0486] In some embodiments, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected to the memory 8102. The interface circuit 8104 may be configured to receive signals from the memory 8102 or other devices, and may be configured to send signals to the memory 8102 or other devices. For example, the interface circuit 8104 may read instructions stored in the memory 8102 and send the instructions to the processor 8101.

[0487] The communication device 8100 described in the above embodiments may be a terminal, a first entity, or a second entity, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 8A. 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 or 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.

[0488] FIG8B is a schematic diagram of the structure of a chip 8200 according to an embodiment of the present disclosure. If the communication device 8100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 8200 shown in FIG8B , but the present disclosure is not limited thereto.

[0489] The chip 8200 includes one or more processors 8201 , and the chip 8200 is configured to execute any of the above methods.

[0490] In some embodiments, the chip 8200 further includes one or more interface circuits 8202. Optionally, the interface circuit 8202 is connected to the memory 8203. The interface circuit 8202 can be used to receive signals from the memory 8203 or other devices, and can be used to send signals to the memory 8203 or other devices. For example, the interface circuit 8202 can read instructions stored in the memory 8203 and send the instructions to the processor 8201.

[0491] In some embodiments, the interface circuit 8202 executes at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101, step S2103, step S2104, step S2106, but not limited to this), and the processor 8201 executes other steps (for example, step S2102, step S2105, step S2107, step S2108).

[0492] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0493] In some embodiments, the chip 8200 further includes one or more memories 8203 for storing instructions. Alternatively, all or part of the memories 8203 may be outside the chip 8200.

[0494] The present disclosure also proposes a storage medium having instructions stored thereon, which, when executed on the communication device 8100, causes the communication device 8100 to execute 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 temporary storage medium.

[0495] The present disclosure also provides a program product, which, when executed by the communication device 8100, enables the communication device 8100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0496] 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 method for transmitting information, characterized in that: The method is executed by a terminal, and includes: Sending a first request to a first entity, wherein the first request includes an artificial intelligence AI parameter; Receive a first response sent by the first entity, wherein the first response includes AI model information.

2. The method according to claim 1, characterized in that The AI ​​parameter includes at least one of the following: an AI capability identification ID and an AI function ID.

3. The method according to claim 1 or 2, characterized in that The AI ​​model information includes at least one of the following: One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

4. The method according to any one of claims 1 to 3, characterized in that: Also includes: Based on the AI ​​model information, an AI model is obtained.

5. The method according to claim 4, characterized in that The obtaining of the AI ​​model based on the AI ​​model information includes: Based on the AI ​​model information, the AI ​​model is obtained from a database.

6. The method according to claim 4 or 5, characterized in that The obtaining of the AI ​​model based on the AI ​​model information includes: Based on the AI ​​model storage address in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane process or a control plane process.

7. The method according to claim 6, characterized in that The second entity is a terminal radio capability management function UCMF entity.

8. The method according to any one of claims 4 to 7, characterized in that: After obtaining the AI ​​model, the method further includes: The AI ​​parameters, the AI ​​model information and the AI ​​model are stored in association with each other.

9. The method according to any one of claims 4 to 7, characterized in that: Also includes: Run the AI ​​model.

10. The method according to any one of claims 1 to 9, characterized in that: The first request is an access request, and the AI ​​parameter is included in an access network parameter.

11. A method for transmitting information, characterized in that: The method is performed by a first entity, and comprises: Receiving a first request sent by a terminal, wherein the first request includes artificial intelligence (AI) parameters of the terminal; Sending a second request to a second entity, wherein the second request includes the AI ​​parameter and an identifier of the terminal; receiving a second response sent by the second entity, wherein the second response includes AI model information; Send a first response to the terminal, wherein the first response includes the AI ​​model information.

12. The method according to claim 11, characterized in that The AI ​​parameter includes at least one of the following: an AI capability identification ID and an AI function ID.

13. The method according to claim 11 or 12, characterized in that The AI ​​model information includes at least one of the following: One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

14. The method according to any one of claims 11 to 13, characterized in that: The sending the second request to the second entity includes: Determine that the AI ​​capability or AI function indicated by the AI ​​parameter is supported, and send a second request to the second entity.

15. The method according to claim 14, characterized in that Also includes: Based on the associated AI information, the public land mobile network PLMN policy and at least one of the AI ​​parameters, it is determined whether the AI ​​capability or AI function indicated by the AI ​​parameter is supported.

16. The method according to any one of claims 11 to 15, characterized in that: Also includes: Based on the AI ​​model information, an AI model is obtained.

17. The method according to claim 16, characterized in that The obtaining of the AI ​​model based on the AI ​​model information includes: Based on the AI ​​model information, the AI ​​model is obtained from a database.

18. The method according to claim 16 or 17, characterized in that The obtaining of the AI ​​model based on the AI ​​model information includes: Based on the storage address of the AI ​​model in the AI ​​model information, the AI ​​model is obtained from the second entity through a user plane process or a control plane process.

19. The method according to claim 18, characterized in that The second entity is a terminal radio capability management function UCMF entity.

20. The method according to any one of claims 16 to 19, characterized in that: After obtaining the model based on the AI ​​model information, the method further includes: The AI ​​parameters, the AI ​​model information and the AI ​​model are stored in association with each other.

21. The method according to any one of claims 16 to 20, characterized in that: Also includes: Run the AI ​​model.

22. The method according to any one of claims 11 to 21, characterized in that: After the first request sent by the receiving terminal, the method further includes: The identifier of the terminal is associated with the AI ​​parameter and stored.

23. The method according to any one of claims 11 to 22, characterized in that: The first request is an access request, and the AI ​​parameter is included in an access network parameter.

24. A method for transmitting information, characterized in that: The method is performed by a second entity, and the method includes: receiving a second request sent by the first entity, wherein the second request includes artificial intelligence (AI) parameters of the terminal; Send a second response to the first entity, wherein the second response includes AI model information.

25. The method of claim 24, wherein: The AI ​​parameter includes at least one of the following: an AI capability identification ID and an AI function ID.

26. The method according to claim 24 or 25, characterized in that The AI ​​model information includes at least one of the following: One or more AI model IDs, one or more AI capability IDs, one or more AI function IDs, one or more AI model storage addresses, and one or more AI model version numbers.

27. A method for transmitting information, characterized in that: The method is used for a core network device, and the method includes at least one of the following: The first entity receives a first request sent by a terminal, wherein the first request includes an artificial intelligence AI parameter of the terminal; The first entity sends a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal; The second entity sends a second response to the first entity, wherein the second response includes AI model information; The first entity sends a first response to the terminal, wherein the first response includes the AI ​​model information.

28. A method for transmitting information, characterized in that: The method is used in a communication system, the communication system includes a terminal, a first entity and a second entity, and the method includes at least one of the following: The terminal sends a first request to the first entity, wherein the first request includes an artificial intelligence AI parameter; The first entity sends a second request to the second entity, wherein the second request includes the AI ​​parameter and the identifier of the terminal; The second entity sends a second response to the first entity, wherein the second response includes AI model information; The first entity sends a first response to the terminal, wherein the first response includes the AI ​​model information.

29. A terminal, characterized in that: The terminal comprises: A transceiver module, configured to send a first request to a first entity, wherein the first request includes an artificial intelligence AI parameter; The transceiver module is used to receive a first response sent by the first entity, wherein the first response includes AI model information.

30. A first entity, characterized in that: The first entity comprises: A transceiver module, configured to receive a first request sent by a terminal, wherein the first request includes an artificial intelligence AI parameter of the terminal; The transceiver module is configured to send a second request to a second entity, wherein the second request includes the AI ​​parameter and an identifier of the terminal; The transceiver module is configured to receive a second response sent by the second entity, wherein the second response includes AI model information; The transceiver module is used to send a first response to the terminal, wherein the first response includes the AI ​​model information.

31. A second entity, characterized in that: The second entity comprises: A transceiver module, configured to receive a second request sent by the first entity, wherein the second request includes an artificial intelligence AI parameter of the terminal; The transceiver module is used to send a second response to the first entity, wherein the second response includes AI model information.

32. A communication device, characterized in that: include: one or more processors; The processor is used to execute the information transmission method described in any one of claims 1-10, or to execute the information transmission method described in any one of claims 11-23, or to execute the information transmission method described in any one of claims 24-26.

33. A communication system, characterized in that: It includes a terminal, a first entity, and a second entity, wherein the terminal is configured to implement the information transmission method described in any one of claims 1-10, the first entity is configured to implement the information transmission method described in any one of claims 11-23, and the second entity is configured to implement the information transmission method described in any one of claims 24-26.

34. A storage medium storing instructions, characterized in that: When the instruction is executed on the communication device, the communication device executes the information transmission method according to any one of claims 1-10, 11-23 or 24-26.

Images