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 a first artificial intelligence AI parameter, and then receives a first response returned by the first entity, the first response being used for indicating whether the first entity supports an AI capability or an AI function indicated by the first AI parameter. In this way, the problem of UE AI capability negotiation between a user equipment (UE) and a 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 technology, 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]

[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 UE AI capability negotiation problem between a user equipment (UE) and a network.

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

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

[0007] A first response sent by a first entity is received, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

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

[0009] Receiving a first request sent by a terminal, wherein the first request includes a first artificial intelligence AI parameter;

[0010] Sending a first response to the terminal, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0011] According to a third aspect of an embodiment of the present disclosure, a method for transmitting information is provided, which is performed by a second entity. The method includes:

[0012] receiving first information sent by a first entity, wherein the first information includes an identifier of a first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal;

[0013] The identifier of the first terminal and the first AI parameter are associated and stored.

[0014] According to a second aspect of an embodiment of the present disclosure, a method for transmitting information is provided, which is used in a communication system, wherein the communication system includes a terminal, a first entity, and a second entity, and the method includes at least one of the following:

[0015] The terminal sends a first request to the first entity, wherein the first request includes a first artificial intelligence AI parameter;

[0016] The first entity sends a first response to the first terminal, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter;

[0017] The first entity sends first information to the second entity, wherein the first information includes an identifier of the first terminal and the first AI parameter;

[0018] The second entity stores the identifier of the first terminal and the first AI parameter in association with each other.

[0019] According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0020] A transceiver module, configured to send a first request to a first entity, wherein the first request includes a first artificial intelligence AI parameter;

[0021] The transceiver module is used to receive a first response sent by a first entity, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0022] According to a sixth aspect of an embodiment of the present disclosure, a first entity is provided, including:

[0023] A transceiver module, configured to receive a first request sent by a terminal, wherein the first request includes a first artificial intelligence AI parameter;

[0024] The transceiver module is used to send a first response to the terminal, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0025] According to a seventh aspect of an embodiment of the present disclosure, a second entity is provided, including:

[0026] a transceiver module, configured to receive first information sent by a first entity, wherein the first information includes an identifier of a first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal;

[0027] The processing module is used to associate and store the identifier of the first terminal and the first AI parameter.

[0028] According to an eighth aspect of an embodiment of the present disclosure, a communication device is provided, including:

[0029] One or more processors;

[0030] The processor is used to call instructions so that the communication device executes the processing method described in any one of the first aspect, the second aspect, and the third aspect.

[0031] According to the ninth 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 third entity is configured to implement the processing method described in the third aspect.

[0032] According to the tenth aspect of an embodiment of the present disclosure, a storage medium is proposed, wherein the storage medium 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 and the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for describing the embodiments are introduced below. The following drawings are only some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0034] FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure;

[0035] FIG2 is an interactive schematic diagram of a method for transmitting information according to an embodiment of the present disclosure;

[0036] 3A-3B are schematic flow diagrams of a method for transmitting information according to an embodiment of the present disclosure;

[0037] 4A-4C are flowchart diagrams of a method for transmitting information according to an embodiment of the present disclosure;

[0038] 5A-5B are schematic flow diagrams of a method for transmitting information according to an embodiment of the present disclosure;

[0039] FIG6 is an interactive schematic diagram of a method for transmitting information according to an embodiment of the present disclosure;

[0040] FIG7 is an interactive schematic diagram of a method for transmitting information according to an embodiment of the present disclosure;

[0041] FIG8A is a schematic diagram of the structure of a terminal provided in an embodiment of the present disclosure;

[0042] FIG8B is a schematic diagram of the structure of the first entity proposed in an embodiment of the present disclosure;

[0043] FIG8C is a schematic diagram of the structure of a second entity proposed in an embodiment of the present disclosure;

[0044] FIG9A is a schematic diagram of the structure of a communication device provided in an embodiment of the present disclosure;

[0045] FIG. 9B is a schematic diagram of the structure of a chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0046] The embodiments of the present disclosure provide an information transmission method, a terminal, a first entity, and a second entity.

[0047] In a first aspect, an embodiment of the present disclosure provides a method for transmitting information, the method comprising:

[0048] Sending a first request to a first entity, wherein the first request includes a first artificial intelligence AI parameter;

[0049] A first response sent by a first entity is received, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0050] In the above embodiment, the terminal sends a first request to the first entity and then receives a first response returned by the first entity, thereby implementing AI capability negotiation between the terminal and the first entity.

[0051] In combination with some embodiments of the first aspect, in some embodiments, the first response includes first AI information, determining that the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0052] In conjunction with some embodiments of the first aspect, in some embodiments, the first AI information includes any of the following:

[0053] One or more AI model identification IDs;

[0054] One or more AI capability IDs;

[0055] One or more AI function IDs.

[0056] In combination with some embodiments of the first aspect, in some embodiments, a first AI model associated with the first AI information is run.

[0057] In combination with some embodiments of the first aspect, in some embodiments, the first response indicates that the first entity supports the AI ​​capability or AI function indicated by the AI ​​parameter, and acquires a second AI model ID associated with the first AI parameter;

[0058] Run the second AI model associated with the second AI model ID.

[0059] In the above embodiment, the terminal can accurately obtain the AI ​​capability or AI function supported by the first entity, and the AI ​​model ID based on the first response.

[0060] In combination with some embodiments of the first aspect, in some embodiments, the first request is an access request, and the first AI parameter is included in an access network parameter.

[0061] In a second aspect, an embodiment of the present disclosure provides a method for transmitting information, the method comprising:

[0062] Receiving a first request sent by a terminal, wherein the first request includes a first artificial intelligence AI parameter;

[0063] Sending a first response to the terminal, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0064] In combination with some embodiments of the second aspect, in some embodiments, based on the associated AI information, the public land mobile network PLMN strategy and at least one of the first AI parameters, it is determined whether the AI ​​capability or AI function indicated by the first AI parameter is supported.

[0065] In conjunction with some embodiments of the second aspect, in some embodiments, the present invention further includes:

[0066] and supporting the AI ​​capability or AI function indicated by the first AI parameter, and determining first AI information included in the first response.

[0067] In conjunction with some embodiments of the second aspect, in some embodiments, the first AI information includes any of the following:

[0068] One or more AI model identification IDs;

[0069] One or more AI capability IDs;

[0070] One or more AI function IDs.

[0071] In conjunction with some embodiments of the second aspect, in some embodiments, the present invention further includes:

[0072] The AI ​​model associated with the first AI parameter is run.

[0073] In combination with some embodiments of the second aspect, in some embodiments, it also includes: sending first information to the second entity, wherein the first information includes an identifier of the first terminal and the first AI parameter.

[0074] In the above embodiment, the first entity can store the first information on the second entity side by sending the first information to the second entity, so that other entities can request the first AI parameter of the first terminal from the second entity, which provides conditions for reducing signaling consumption during terminal switching.

[0075] In conjunction with some embodiments of the second aspect, in some embodiments, the present invention further includes:

[0076] receiving a second request sent by a second terminal;

[0077] Neither the second request nor the first entity includes the second AI parameter of the second terminal, sending a third request to the second entity, wherein the third request includes an identifier of the second terminal;

[0078] receiving the second AI parameter sent by the second entity;

[0079] Sending a second response to the second terminal, wherein the second response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the second AI parameter.

[0080] In the above embodiment, when the first entity receives the access request from the second terminal, if there is no second AI parameter in the second request and the second AI parameter of the second terminal is not stored locally, then the second AI parameter can be requested from the second entity, and based on the requested AI parameter, the AI ​​capability negotiation is completed with the second terminal.

[0081] In a third aspect, an embodiment of the present disclosure provides a method for transmitting information, which is performed by a second entity. The method includes:

[0082] receiving first information sent by a first entity, wherein the first information includes an identifier of a first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal;

[0083] The identifier of the first terminal and the first AI parameter are associated and stored.

[0084] In conjunction with some embodiments of the second aspect, in some embodiments, the present invention further includes:

[0085] receiving a third request sent by the first entity, wherein the third request includes an identifier of the second terminal;

[0086] Query and obtain a second AI parameter based on the identifier of the second terminal;

[0087] Send the second AI parameter to the first entity.

[0088] In a fourth aspect, an embodiment of the present disclosure provides a method for transmitting information, which is used in a communication system, wherein the communication system includes a terminal, a first entity, and a second entity, and the method includes at least one of the following:

[0089] The terminal sends a first request to the first entity, wherein the first request includes a first artificial intelligence AI parameter;

[0090] The first entity sends a first response to the first terminal, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter;

[0091] The first entity sends first information to the second entity, wherein the first information includes an identifier of the first terminal and the first AI parameter;

[0092] The second entity associates and stores the identifier of the first terminal and the first AI parameter.

[0093] In a fifth aspect, an embodiment of the present disclosure provides a terminal, the terminal comprising:

[0094] A transceiver module, configured to send a first request to a first entity, wherein the first request includes a first artificial intelligence AI parameter;

[0095] The transceiver module is used to receive a first response sent by a first entity, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0096] In conjunction with some embodiments of the fifth aspect, in some embodiments, the present invention further includes:

[0097] A processing module is used to determine whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter, wherein the first response includes first AI information.

[0098] In conjunction with some embodiments of the third aspect, in some embodiments, the first AI information includes any one of the following:

[0099] One or more AI model identification IDs;

[0100] One or more AI capability IDs;

[0101] One or more AI function IDs.

[0102] In combination with some embodiments of the fifth aspect, in some embodiments, the processing module is further used to run the first AI model associated with the first AI information.

[0103] In conjunction with some embodiments of the fifth aspect, in some embodiments, the processing module is further used to:

[0104] Obtaining a second AI model ID associated with the first AI parameter, wherein the first response indicates that the first entity supports the AI ​​capability or AI function indicated by the AI ​​parameter;

[0105] Run the second AI model associated with the second AI model ID.

[0106] In combination with some embodiments of the fifth aspect, in some embodiments, the first request is an access request, and the first AI parameter is included in an access network parameter.

[0107] In a sixth aspect, an embodiment of the present disclosure provides a first entity, wherein the first entity includes:

[0108] A transceiver module, configured to receive a first request sent by a terminal, wherein the first request includes a first artificial intelligence AI parameter;

[0109] The transceiver module is used to send a first response to the terminal, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0110] In conjunction with some embodiments of the sixth aspect, in some embodiments, the method further includes:

[0111] The processing module is used to determine whether the AI ​​capability or AI function indicated by the first AI parameter is supported based on the associated AI information, the public land mobile network PLMN policy and at least one of the first AI parameters.

[0112] In conjunction with some embodiments of the sixth aspect, in some embodiments, the processing module is further used to:

[0113] and supporting the AI ​​capability or AI function indicated by the first AI parameter, and determining first AI information included in the first response.

[0114] In conjunction with some embodiments of the sixth aspect, in some embodiments, the first AI information includes any one of the following:

[0115] One or more AI model identification IDs;

[0116] One or more AI capability IDs;

[0117] One or more AI function IDs.

[0118] In conjunction with some embodiments of the sixth aspect, in some embodiments, the processing module is further used to:

[0119] The AI ​​model associated with the first AI parameter is run.

[0120] In combination with some embodiments of the sixth aspect, in some embodiments, the transceiver module is further used to send first information to the second entity, wherein the first information includes an identifier of the first terminal and the first AI parameter.

[0121] In conjunction with some embodiments of the sixth aspect, in some embodiments, the transceiver module is further used to:

[0122] receiving a second request sent by a second terminal;

[0123] Neither the second request nor the first entity includes the second AI parameter of the second terminal, sending a third request to the second entity, wherein the third request includes an identifier of the second terminal;

[0124] receiving the second AI parameter sent by the second entity;

[0125] Sending a second response to the second terminal, wherein the second response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the second AI parameter.

[0126] In a seventh aspect, the present disclosure provides a second entity, including:

[0127] a transceiver module, configured to receive first information sent by a first entity, wherein the first information includes an identifier of a first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal;

[0128] The processing module is used to associate and store the identifier of the first terminal and the first AI parameter.

[0129] In conjunction with some embodiments of the seventh aspect, in some embodiments,

[0130] The transceiver module is further configured to receive a third request sent by the first entity, wherein the third request includes an identifier of the second terminal;

[0131] The processing module is further used to query and obtain a second AI parameter based on the identifier of the second terminal;

[0132] The transceiver module is further used to send the second AI parameter to the first entity.

[0133] In an eighth aspect, an embodiment of the present disclosure proposes a terminal, which includes: one or more processors; wherein the processors are used to execute an optional implementation of the information transmission method proposed in the first aspect.

[0134] In a ninth aspect, an embodiment of the present disclosure proposes a first entity, and the first entity includes: one or more processors; wherein the processors are used to execute an optional implementation of the information transmission method proposed in the second aspect.

[0135] In a tenth 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 an optional implementation of the information transmission method proposed in the third aspect.

[0136] In the eleventh 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.

[0137] In the twelfth 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 or the third aspect.

[0138] In a thirteenth 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 manner of the first aspect, the second aspect or the third aspect.

[0139] In a fourteenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first aspect, the second aspect, or the third aspect.

[0140] In a fifteenth aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or the chip system includes a processing circuit configured to execute the method described in the optional implementation of the first aspect, the second aspect, or the third aspect.

[0141] It is understandable that the above-mentioned terminal, the first entity, the second entity, the communication system, the storage medium, the program product, the computer program, the chip or the chip system are all used to execute the method proposed in the embodiment of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0142] The embodiments of the present disclosure provide a method for transmitting information. In some embodiments, the terms such as information transmission method, measurement report reporting configuration method, configuration method and communication method can be replaced with each other, the terms such as information processing device and information configuration device, communication device can be replaced with each other, and the terms such as information transmission system, information configuration system, communication system can be replaced with each other.

[0143] The embodiments of the present disclosure are not exhaustive, but are only 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 of the steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0144] In each embodiment of the present disclosure, unless otherwise specified or there is a logical conflict, the terms and / or descriptions between the embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form a new embodiment based on their internal logical relationships.

[0145] 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.

[0146] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular form, such as "a", "an", "the", "above", "said", "aforementioned", "this", 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 after the article may be understood as a singular expression or a plural expression.

[0147] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0148] In some embodiments, the terms “at least one,” “one or more,” “a plurality of,” “multiple,” etc. may be used interchangeably.

[0149] In some embodiments, "at least one of A and B", "A and / or B", "A in one case, B in another case", "in response to one case A, in response to another case B", etc., may include the following technical solutions according to 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); in some embodiments, A and B (both A and B are executed). When there are more branches such as A, B, C, etc., the above is also similar.

[0150] In some embodiments, the recording method of "A or B" may include the following technical solutions according to 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). When there are more branches such as A, B, C, etc., the above is also similar.

[0151] 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 restrictions on the position, order, priority, quantity or content of the description objects. The statement of the description object refers to the description in the context of the claims or embodiments, and should not constitute unnecessary restrictions 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", and the "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 the "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes may be the same or different. For example, if the description object is "device", then the "first device" and the "second device" may be the same device or different devices, and their types may be the same or different. For another example, if the description object is "information", then the "first information" and the "second information" may be the same information or different information, and their contents may be the same or different.

[0152] 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.

[0153] 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.

[0154] 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 lower 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", "no more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0155] In some embodiments, devices and equipment may be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they may also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0156] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0157] In some embodiments, "access network device (ANdevice)" may also be referred to as "radio access network device (RANdevice)", "base station (BS)", "radio base station (radio base station)", "fixed station (fixed station)", and in some embodiments may also be understood as "node (node)", "access point (access point)", "transmission point (transmission point, TP)", "reception point (reception point, RP)", "transmission and / or reception point (transmission / reception point, TRP)" "panel (panel)", "antenna panel (antenna panel)", "antenna array (antenna array)" "cell (cell)", "macrocell (macrocell)", "small cell (smallcell)", "femtocell (femtocell)", "picocell (picocell)", "sector (sector)", "cell group (cell group)", "serving cell (service cell)", "carrier (carrier)", "component carrier (component carrier)", "bandwidth part (bandwidth part, BWP)" and the like.

[0158] In some embodiments, "terminal" or "terminal device" can 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 (subscriberunit), wireless unit (wireless unit), remote unit (remote unit), mobile device (mobile device), wireless device (wireless device), wireless communication device (wireless communication device), remote device (remote 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.

[0159] In some embodiments, acquisition of data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0160] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0161] In addition, each element, each row, or each column in the table of the embodiments of the present disclosure may be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns may also be implemented as an independent embodiment.

[0162] FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0163] As shown in FIG. 1 , a communication system 100 includes a terminal 101 , a first entity 102 , and a second entity 103 .

[0164] 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 (Pad), 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 to these.

[0165] In some embodiments, the first entity 102 may be an access network device. For example, it is a node or device that accesses a terminal to a wireless network. The access network device may include at least one of an evolved NodeB (eNB), a next generation eNB (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 an access node in a Wi-Fi system, but is not limited thereto.

[0166] In some embodiments, the access network device may be composed of a centralized unit (central unit, CU) and a distributed unit (distributed unit, DU), wherein the CU may also be referred to as a control unit (control unit). The CU-DU structure may be used to split the protocol layer of the access network device, with some functions of the protocol layer being centrally controlled by the CU, and the remaining part or all of the functions of the protocol layer being distributed in the DU, and the DU being centrally controlled by the CU, but not limited to this.

[0167] In some embodiments, the second entity 102 may be a core network device, and the core network device may be one device, or may be multiple devices or a group of devices. A network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC). In the disclosed embodiment, the second entity 102 may be, for example, an Access and Mobility Management Function (AMF) network element.

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

[0169] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or part of the subject, but are not limited thereto. The subjects shown in FIG1 are examples, and the communication system may include all or part of the subjects in FIG1 , or may include other subjects other than FIG1 , and the number and form of the subjects are arbitrary, and the subjects may be physical or virtual, and the connection relationship between the subjects is an example, and the subjects may be connected or disconnected, and the connection may be in any manner, and may be a direct connection or an indirect connection, and may be a wired connection or a wireless connection.

[0170] 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 (Ultra Mobile Broadband (UMB), IEEE802.11 (Wi-Fi (registered trademark)), IEEE802.16 (WiMAX (registered trademark)), IEEE802.20, Ultra-WideBand (UWB), Bluetooth (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine-to-Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), systems using other communication methods, next-generation systems based on them, etc. In addition, multiple systems can also be combined (for example, a combination of LTE or LTE-A with 5G, etc.) for application.

[0171] Introducing AI / ML models into communication systems can have the following benefits:

[0172] Improved network performance. AI / ML models can analyze large amounts of data from the network to identify patterns and trends, allowing for better resource allocation, load balancing, positioning, and interference management. This can improve network performance, including higher data rates, lower latency, and better coverage.

[0173] Network automation. Because AI / ML can enable smarter and automated network management, reducing the need for manual intervention and enabling operators to focus on more strategic tasks.

[0174] Improve energy efficiency. AI / ML can optimize the use of network resources, thereby reducing energy consumption and operating costs for network operators

[0175] By using AI models in UE and / 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.

[0176] When the AI ​​model is stored in the terminal 101, in order to ensure the reliable use of the AI ​​model, it is proposed that the UE can negotiate the AI ​​capability with the first entity, so as to ensure that the AI ​​model used by the UE is consistent with that used by the first entity, thereby providing conditions for improving system performance.

[0177] FIG2 is an interactive schematic 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:

[0178] Step S2101 : the terminal 101 sends a first request to the first entity 102 .

[0179] In some embodiments, the first request includes first artificial intelligence AI parameters.

[0180] In some embodiments, the first AI parameter may be an AI capability identifier (Artificial Intelligence Capability Identification, AI Capability ID), or may also be an AI functionality identifier (Artificial Intelligence Functionality Identification, AI Functionality ID).

[0181] In some embodiments, the first AI parameter may be included in an access network (AN) parameter.

[0182] In some embodiments, the first entity 102 receives a first request sent by the terminal 101 .

[0183] In some embodiments, the first request may be a registration request.

[0184] In some embodiments, the first AI parameter is used to indicate the AI ​​capabilities of the terminal, such as AI-based CSI, AI-based beam management, AI-based positioning, and the like.

[0185] In some embodiments, the terms "CSI", "Channel State Information (CSI)", etc. can be used interchangeably.

[0186] In some embodiments, the first AI parameter included in the first request may be one or more, which is not limited in the present disclosure.

[0187] Step S2102 , the first entity 102 determines whether the AI ​​capability or AI function indicated by the first AI parameter is supported.

[0188] In some embodiments, the first entity 102 may determine whether to support the AI ​​capability or AI function indicated by the first AI parameter based on at least one of the associated AI information, a Public Land Mobile Network (PLMN) policy, and the first AI parameter.

[0189] In some embodiments, the associated AI information is the AI ​​capability or AI function information possessed by the first entity 102. The associated AI information may be preset in the first entity 102 or may be agreed upon by a protocol, which is not limited in the present disclosure.

[0190] In some embodiments, the AI ​​information may be a first AI parameter, or may be other information associated with the first AI parameter, such as an AI model ID, etc., which is not limited in the present disclosure.

[0191] In some embodiments, if the first request received by the first entity 102 includes the first AI parameter #1, and the associated AI information of the first entity 102 includes the first AI parameter #1, or includes the AI ​​model ID associated with the first AI parameter #1, the first entity 102 may determine that it supports the AI ​​capability indicated by the first AI parameter #1. Alternatively, if the associated AI information of the first entity 102 does not include the first AI parameter #1, and does not include the AI ​​model ID associated with the first AI parameter #1, the first entity 102 may determine that it does not support the AI ​​capability indicated by the first AI parameter #1.

[0192] In some embodiments, if the first request received by the first entity 102 includes the first AI parameter #1, and the AI ​​information associated with the first entity 102 includes the first AI parameter #1, but the PLMN policy indicates that the AI ​​capability indicated by the first AI parameter #1 is not provided for the roaming UE. The first entity 102 determines that the terminal sending the first request is a roaming UE through judgment, and then it can be determined that it currently does not support the AI ​​capability indicated by the first AI parameter #1.

[0193] Step S2103 : the first entity 102 sends a first response to the terminal 101 .

[0194] In some embodiments, the terminal 101 receives a first response sent by the first entity 102 .

[0195] In some embodiments, the first response is used to indicate whether the first entity 102 supports the AI ​​capability or AI function indicated by the first AI parameter.

[0196] In some embodiments, the value of a certain indication field in the first response can be used to indicate whether the first entity 102 supports the AI ​​capability or AI function indicated by the first AI parameter. For example, the indication field value is 1, indicating that the first entity 102 supports the corresponding AI capability or AI function, otherwise it indicates that the first entity 102 does not support the corresponding AI capability or AI function. Alternatively, the indication field value is 0, indicating that the first entity 102 supports the corresponding AI capability or AI function, otherwise it indicates that the first entity 102 does not support the corresponding AI capability or AI function, etc., which is not limited in this disclosure.

[0197] In some embodiments, the first entity 102 supports the AI ​​capability or AI function indicated by the first AI parameter, and determines the first AI information included in the first response.

[0198] In some embodiments, the first AI information includes at least one of the following: one or more AI model identification IDs; one or more AI capability IDs; one or more AI function IDs.

[0199] In some embodiments, after receiving the first response, the terminal 101 may determine the AI ​​capability or AI function of the first AI parameter supported by the first entity based on the first AI information in the first response.

[0200] In some embodiments, the first response does not include information for indicating whether the first entity 102 supports the AI ​​capability or AI function indicated by the first AI parameter. In this case, if the first response includes the first AI information, the terminal 101 can determine that the first entity 102 supports the AI ​​capability or AI function indicated by the first AI parameter. Correspondingly, if the first response does not include the first AI information, the terminal 101 can determine that the first entity 102 does not support the AI ​​capability or AI function indicated by the first AI parameter.

[0201] Step S2104 : the first entity 102 sends first information to the second entity 103 .

[0202] In some embodiments, the first information includes an identifier of the first terminal and the first AI parameter.

[0203] In some embodiments, the second entity 103 may be an AMF network element.

[0204] In some embodiments, technical terms such as the second entity, AMF, access mobility management, Access and Mobility Management Function, etc. can be interchangeable in certain scenarios.

[0205] In one embodiment, the first entity may also receive a second request sent by the second terminal. At this time, if neither the second request nor the first entity includes the second AI parameter of the second terminal, the first entity may send a third request to the second entity, wherein the third request includes the identifier of the second terminal; thereafter, after receiving the second AI parameter sent by the second entity, the first entity may send a second response to the second terminal, wherein the second response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the second AI parameter.

[0206] Step S2105: the second entity 103 stores the first information.

[0207] In some embodiments, the second entity 103 may store the first AI parameter using the first terminal identifier as a key value.

[0208] In some embodiments, after receiving the third request sent by the first entity, the second entity may query and obtain the second AI parameter based on the identifier of the second terminal in the third request, and then return the second AI parameter to the first entity.

[0209] Step S2106: Terminal 101 runs the first AI model of the first AI information.

[0210] In some embodiments, the terminal 101 stores AI models associated with various AI information. When the first response includes the first AI information, the terminal 101 can run the first AI model associated with the first AI model identification ID based on the first AI model identification ID in the first AI information.

[0211] In some embodiments, the first AI information in the first response includes multiple first AI model identification IDs, and the terminal can run the first AI models associated with multiple first AI model identification IDs. For example, run the first AI model associated with the first first AI model identification ID; or run the first AI model associated with the last first AI model identification ID; or run the first AI model associated with the first AI model identification ID that occupies the least amount of resources, etc., and the present disclosure does not limit this.

[0212] In some embodiments, the first response only indicates that the first entity 102 supports the AI ​​capability or AI function indicated by the first AI parameter, and the AI ​​capability or AI function indicated by the first AI parameter is only associated with one AI model identification ID, for example, associated with the second AI model identification ID. Then the terminal 101 can run the second AI model associated with the second AI model identification ID based on the association relationship.

[0213] Step S2107: the first entity 102 runs the AI ​​model associated with the first AI parameter.

[0214] In some embodiments, the order of the above-mentioned step S2106 and step S2107 can be interchanged, for example, step S2107 is executed first, and then step S2106 is executed.

[0215] In some embodiments, the above step S2106 and step S2107 may also be executed in parallel, which is not limited in the present disclosure.

[0216] In some embodiments, the order of the above steps S2104 and 2105, and steps 2106 and S2107 can be interchanged, or performed simultaneously. For example, steps 2106 and S2107 can be performed first, and then steps S2104 and 2105, or steps S2104 and 2105 can be performed in parallel with steps 2106 and S2107, which is not limited in the present disclosure.

[0217] The information transmission method involved in the embodiment of the present disclosure may include at least one of steps S2101 to S2107. 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.

[0218] In this implementation mode 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 implementation modes or other examples.

[0219] FIG3A is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG3A , an embodiment of the present disclosure relates to a method for transmitting information, which is used in a terminal 101, and the method includes:

[0220] Step S3101: Send a first request to a first entity.

[0221] In some embodiments, the terminal 101 sends a first request to the first entity 102 .

[0222] In some embodiments, the first request includes a first AI parameter.

[0223] Step S3102: receiving a first response sent by the first entity.

[0224] In some embodiments, the terminal 101 receives a first response sent by the first entity 102 .

[0225] In some embodiments, the first response is used to indicate whether the first entity 102 supports the AI ​​capability or AI function associated with the first AI parameter.

[0226] Step S3103: run the first AI model associated with the first AI information.

[0227] For a detailed description of steps S3101 - S3103 , please refer to the detailed description in the embodiment shown in FIG. 2 , which will not be repeated here.

[0228] The information transmission method involved in the embodiment of the present disclosure may include at least one of steps S3101 to S3103. For example, steps S3101+S3102 may be implemented as an independent embodiment, and step S3103 may be implemented as an independent embodiment, etc., but is not limited thereto.

[0229] In the embodiments of the present disclosure, part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.

[0230] 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 a terminal 101 and includes:

[0231] Step S3201: Send a first request to a first entity.

[0232] In some embodiments, the terminal 101 sends a first request to the first entity 102 .

[0233] In some embodiments, the first request includes a first AI parameter.

[0234] Step S3202: receiving a first response sent by the first entity.

[0235] In some embodiments, the terminal 101 receives a first response sent by the first entity 102 .

[0236] In some embodiments, the first response is used to indicate whether the first entity 102 supports the AI ​​capability or AI function associated with the first AI parameter.

[0237] In some embodiments, the first response includes first AI information, and determines that the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0238] In some embodiments, the first AI information includes any of the following:

[0239] One or more AI model identification IDs;

[0240] One or more AI capability IDs;

[0241] One or more AI function IDs.

[0242] In some embodiments, a first AI model associated with the first AI information is run.

[0243] In some embodiments, the first response indicates that the first entity supports the AI ​​capability or AI function indicated by the AI ​​parameter, and obtains a second AI model ID associated with the first AI parameter;

[0244] Run the second AI model associated with the second AI model ID.

[0245] In some embodiments, the first request is an access request, and the first AI parameter is included in the access network parameters.

[0246] For a detailed description of steps S3201 - S3202 , please refer to the above embodiment description.

[0247] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S3201 to S3202. For example, step S3201 may be implemented as an independent embodiment, step S3202 may be implemented as an independent embodiment, and step S3201+S3202 may be implemented as an independent embodiment, but is not limited thereto.

[0248] In the embodiments of the present disclosure, part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.

[0249] FIG4A is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG4A , the present disclosure embodiment relates to a method for transmitting information, which is used by a first entity 102, and the method includes:

[0250] Step S4101: receiving a first request sent by a first terminal.

[0251] In some embodiments, the first entity 102 receives a first request sent by the terminal 101 .

[0252] In some embodiments, the first request includes first artificial intelligence AI parameters.

[0253] Step S4102: Send a first response to the first terminal.

[0254] In some embodiments, the first entity 102 sends a first response to the first terminal 101 .

[0255] In some embodiments, the first response is used to indicate whether the first entity 102 supports the AI ​​capability or AI function indicated by the first AI parameter.

[0256] Step S4103: Send first information to the second entity.

[0257] In some embodiments, the first information includes an identifier of the first terminal and a first AI parameter.

[0258] Step S4104: run the AI ​​model associated with the first AI parameter.

[0259] For a detailed description of steps S4101-S4104, please refer to the detailed description of the above embodiments, which will not be repeated here.

[0260] The information transmission method involved in the embodiment of the present disclosure may include at least one of steps S4101 to S4104. For example, step S4101 may be implemented as an independent embodiment, step S4102 may be implemented as an independent embodiment, and step S4101+S4102 may be implemented as an independent embodiment, but is not limited thereto.

[0261] In the embodiments of the present disclosure, part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.

[0262] FIG4B is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG4B , the present disclosure embodiment relates to a method for transmitting information, which is used by a first entity 102 and includes:

[0263] Step S4201: receiving a second request sent by a second terminal.

[0264] Step S4202: Neither the second request nor the first entity includes the second AI parameter of the second terminal, and a third request is sent to the second entity.

[0265] In some embodiments, the third request includes an identification of the second terminal.

[0266] Step S4203: Receive a second AI parameter sent by the second entity.

[0267] Step S4204: Send a second response to the second terminal.

[0268] In some embodiments, the second response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the second AI parameter.

[0269] Step S4205: run the AI ​​model associated with the second AI parameter.

[0270] For a detailed description of steps S4201-S4205, please refer to the detailed description of the above embodiments, which will not be repeated here.

[0271] The information transmission method involved in the embodiment of the present disclosure may include at least one of steps S4102 to S4105. For example, steps S4201+S4202 may be implemented as an independent embodiment, and steps S4201+S4202+S4203+S4204 may be implemented as an independent embodiment, but are not limited thereto.

[0272] In the embodiments of the present disclosure, part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.

[0273] FIG4C is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG4C , the present disclosure embodiment relates to a method for transmitting information, which is used by a first entity 102 and includes:

[0274] Step S4301: receiving a first request sent by a first terminal.

[0275] In some embodiments, the first entity 102 receives a first request sent by the terminal 101 .

[0276] In some embodiments, the first request includes first artificial intelligence AI parameters.

[0277] Step S4302: Send a first response to the first terminal.

[0278] In some embodiments, the first entity 102 sends a first response to the first terminal 101 .

[0279] In some embodiments, the first response is used to indicate whether the first entity 102 supports the AI ​​capability or AI function indicated by the first AI parameter.

[0280] In some embodiments, based on at least one of the associated AI capability information, the public land mobile network PLMN policy and the first AI parameter, it is determined whether the AI ​​capability or AI function indicated by the first AI parameter is supported.

[0281] In some embodiments, the AI ​​capability or AI function indicated by the first AI parameter is supported, and the first AI information included in the first response is determined.

[0282] In some embodiments, the first AI information includes any of the following:

[0283] One or more AI model identification IDs;

[0284] One or more AI capability IDs;

[0285] One or more AI function IDs.

[0286] In some embodiments, an AI model associated with the first AI parameter is run.

[0287] In some embodiments, it also includes:

[0288] Sending first information to the second entity, wherein the first information includes an identifier of the first terminal and a first AI parameter.

[0289] In some embodiments, it also includes:

[0290] receiving a second request sent by a second terminal;

[0291] Neither the second request nor the first entity includes the second AI parameter of the second terminal, sending a third request to the second entity, wherein the third request includes an identifier of the second terminal;

[0292] receiving a second AI parameter sent by the second entity;

[0293] A second response is sent to the second terminal, where the second response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the second AI parameter.

[0294] For a detailed description of steps S4301 - S4302 , please refer to the above embodiment description.

[0295] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S4301 to S4302. For example, step S4301 may be implemented as an independent embodiment, step S4302 may be implemented as an independent embodiment, and step S4301+S4302 may be implemented as an independent embodiment, but is not limited thereto.

[0296] In the embodiments of the present disclosure, part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.

[0297] FIG5A is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG5A , the present disclosure embodiment relates to a method for transmitting information, which is used by a second entity 103, and the method includes:

[0298] Step S5101: receiving first information sent by a first entity.

[0299] In some embodiments, the first information includes an identifier of the first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal.

[0300] Step S5102: Store the identifier of the first terminal and the first AI parameter in association with each other.

[0301] Step S5103: receive a third request sent by the first entity.

[0302] In some embodiments, the third request includes an identification of the second terminal.

[0303] Step S5104: query and obtain the second AI parameter based on the identifier of the second terminal.

[0304] Step S5105: Send the second AI parameter to the first entity.

[0305] For a detailed description of steps S5101 - S5105 , please refer to the above embodiment description.

[0306] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S5101 to S5105. For example, step S5101 may be implemented as an independent embodiment, step S5102 may be implemented as an independent embodiment, and steps S5101+S5105 may be implemented as independent embodiments, but are not limited thereto.

[0307] In the embodiments of the present disclosure, part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.

[0308] FIG5B is a flow chart of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG5B , the embodiment of the present disclosure relates to a method for transmitting information, which is used by a second entity 103 and includes:

[0309] Step S5201: receiving first information sent by a first entity.

[0310] In some embodiments, the first information includes an identifier of the first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal.

[0311] Step S5202: Store the identifier of the first terminal and the first AI parameter in association with each other.

[0312] In some embodiments, it also includes:

[0313] receiving a third request sent by the first entity, wherein the third request includes an identifier of the second terminal;

[0314] Query and obtain a second AI parameter based on the identifier of the second terminal;

[0315] Send the second AI parameter to the first entity.

[0316] For a detailed description of steps S5201 - S5202 , please refer to the above embodiment description.

[0317] The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S5201 to S5202. For example, step S5201 may be implemented as an independent embodiment, step S5202 may be implemented as an independent embodiment, and step S5201+S5202 may be implemented as an independent embodiment, but is not limited thereto.

[0318] In the embodiments of the present disclosure, part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.

[0319] FIG6 is an interactive schematic diagram of a method for transmitting information according to an embodiment of the present disclosure. As shown in FIG6 , an embodiment of the present disclosure relates to a method for transmitting information, which is used in a communication system, and the method includes:

[0320] Step S6101: The terminal sends a first request to the first entity.

[0321] In some embodiments, the first request includes a first artificial intelligence AI parameter

[0322] Step S6102: The first entity sends a first response to the first terminal.

[0323] In some embodiments, the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0324] Step S6103: The first entity sends first information to the second entity.

[0325] In some embodiments, the first information includes an identifier of the first terminal and a first AI parameter.

[0326] Step S6104: The second entity associates and stores the identifier of the first terminal and the first AI parameter.

[0327] For a detailed description of steps S6101 - S6102 , please refer to the above embodiment description.

[0328] The following is an exemplary introduction to the above method.

[0329] The present disclosure is a method for solving the UE AI capability negotiation problem between the UE and the network, and the optional implementation solutions are as follows:

[0330] As shown in FIG. 7 , FIG. 7 is an interactive schematic diagram of a method for transmitting information according to an embodiment of the present disclosure. The embodiment of the present disclosure relates to a method for transmitting information, taking a terminal, where the first entity is a radio access network (RAN) as an example, and the method includes:

[0331] 1. The UE initiates a registration request using the access network (AN) parameter [UE AI function ID] and sends it to the RAN

[0332] 2. RAN determines whether to perform AI operation and which AI model to use based on the Public Land Mobile Network (PLMN) policy and / or UE AI capability information.

[0333] If so, the RAN also determines the AI ​​model to be used.

[0334] If the UE does not provide UE AI capability information or the RAN does not support the AI ​​function, these parameters shall be ignored.

[0335] 3. Authenticate (authorize) the UE.

[0336] Optionally, the process of authenticating (authorizing) the UE may be performed by referring to the following process:

[0337] RAN first selects a (new) AMF for the UE, then RAN sends a registration request to the selected new AMF, and then the new AMF interacts with the old AMF to obtain the UE context information. For example, the new AMF requests the UE context information from the old AMF through the Namf_communication_UE Context Transfer message, and then the old AMF returns the UE context information to the new AMF through the Namf_communication_UE Context Transfer Response message.

[0338] After that, the new AMF sends an identity request to the UE to start the verification of the UE identity. 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, and then the AUSF performs authentication and / or security verification on the UE.

[0339] Optionally, the new AMF then sends Namf communication registration status update information to the old AMF to update the UE's 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.

[0340] Optionally, the new AMF can also select a PCF for the UE and establish / modify AM rule associations, etc.

[0341] Optionally, the new AMF can also complete the session update and session release of the UD through interaction with the Protocol Data Unit (PDU).

[0342] 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).

[0343] 4. When RAN receives the Registration Accept message from AMF, it sends a Registration Accept message to UE, including the AI ​​model ID as the AN parameter.

[0344] 5. The UE and / or RAN performs AI operations according to the negotiated AI model ID, such as AI-based beam management.

[0345] The embodiments of the present disclosure also propose a device for implementing any of the above methods, for example, a device is proposed, the above device includes a unit or module for implementing each step performed by the terminal in any of the above methods. For another example, another device is also proposed, including a unit or module for implementing each step performed by the first entity (such as RAN, etc.) in any of the above methods.

[0346] It should be understood that the division of the units or modules in the above device is only a division of logical functions, and in actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. In addition, the units or modules in the device can 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 instructions are stored in the memory. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the 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 inside 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 hardware circuits can be understood as one or more processors; for example, in one implementation, the above hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the above units or modules are realized by designing the logical relationship of the components in the circuit; for example, in another implementation, the above hardware circuit can be realized by a programmable logic device (PLD), taking a field programmable gate array (FPGA) as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize 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 a processor calling software, or in the form of a hardware circuit, or in part by a processor calling software, and the rest by a hardware circuit.

[0347] In the disclosed embodiment, the processor is a circuit with signal processing capability. In one implementation, the processor may be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which may be understood as a microprocessor), or a digital signal processor (DSP), etc.; in another implementation, the processor may realize certain functions through the logical relationship of the hardware circuit, and the logical relationship of the above hardware circuit is fixed or reconfigurable, such as a hardware circuit implemented by a processor as an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the processor loads a configuration document to implement the process of hardware circuit configuration, which may 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 may also be a hardware circuit designed for artificial intelligence, which may 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.

[0348] FIG8A is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure. As shown in FIG8A , the terminal 8100 may include: at least one of a transceiver module 101 and a processing module 8102. The terminal 8100 may include:

[0349] The transceiver module 8101 is used to send a first request, wherein the first request includes a first artificial intelligence AI parameter;

[0350] The transceiver module 8101 is used to receive a first response, where the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0351] Optionally, it also includes:

[0352] The processing module 8102 is configured to determine whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter, wherein the first response includes the first AI information.

[0353] Optionally, the first AI information includes any of the following:

[0354] One or more AI model identification IDs;

[0355] One or more AI capability IDs;

[0356] One or more AI function IDs.

[0357] Optionally, the processing module 8102 is further used to run a first AI model associated with the first AI information.

[0358] Optionally, the processing module 8102 is further configured to:

[0359] obtaining a second AI model ID associated with the first AI parameter, wherein the first response indicates that the first entity supports the AI ​​capability or AI function indicated by the AI ​​parameter;

[0360] Run the second AI model associated with the second AI model ID.

[0361] Optionally, the first request is an access request, and the first AI parameter is included in an access network parameter.

[0362] FIG8B is a schematic diagram of the structure of the first entity 102 proposed in the embodiment of the present disclosure. As shown in FIG8B , the first entity 8200 may include: at least one of a transceiver module 8201 and a processing module 8202. The first entity 8200 may include:

[0363] The transceiver module 8201 is used to receive a first request, wherein the first request includes a first artificial intelligence AI parameter;

[0364] The transceiver module 8201 is used to send a first response, where the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter.

[0365] Optionally, it also includes:

[0366] The processing module 8202 is used to determine whether the AI ​​capability or AI function indicated by the first AI parameter is supported based on at least one of the associated AI information, the public land mobile network PLMN policy and the first AI parameter.

[0367] Optionally, the processing module 8202 is further used to:

[0368] The AI ​​capability or AI function indicated by the first AI parameter is supported, and the first AI information included in the first response is determined.

[0369] Optionally, the first AI information includes any of the following:

[0370] One or more AI model identification IDs;

[0371] One or more AI capability IDs;

[0372] One or more AI function IDs.

[0373] Optionally, the processing module 8202 is further used to:

[0374] The AI ​​model associated with the first AI parameter is run.

[0375] FIG8C is a schematic diagram of the structure of the second entity 103 proposed in the embodiment of the present disclosure. As shown in FIG8B , the second entity 8300 may include: at least one of a transceiver module 8301 and a processing module 8302. The second entity 8300 may include:

[0376] The transceiver module 8301 is configured to receive first information sent by a first entity, wherein the first information includes an identifier of a first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal;

[0377] The processing module 8302 is used to store the identifier of the first terminal and the first AI parameter in association with each other.

[0378] Optionally, it also includes:

[0379] The transceiver module 8301 is further configured to receive a third request sent by the first entity, wherein the third request includes an identifier of the second terminal;

[0380] The processing module 8302 is further configured to query and obtain a second AI parameter based on an identifier of the second terminal;

[0381] The transceiver module 8301 is further configured to send a second AI parameter to the first entity.

[0382] In some embodiments, the transceiver module may include a sending module and / or a receiving module, and the sending module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0383] In some embodiments, the processing module can be a module or 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 replaced with the processor.

[0384] 9A is a schematic diagram of the structure of a communication device 9100 proposed in an embodiment of the present disclosure. The communication device 9100 may be a terminal, a first entity, a second entity, a chip, a chip system, or a processor that supports the terminal to implement any of the above methods, a chip, a chip system, or a processor that supports the first entity to implement any of the above methods, or a chip, a chip system, or a processor that supports the second entity to implement any of the above methods. The communication device 9100 may be used to implement the method described in the above method embodiment, and the details may refer to the description in the above method embodiment.

[0385] As shown in FIG9A , the communication device 9100 includes one or more processors 9101. The processor 9101 may be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor may be used to process the communication protocol and the communication data, and the central processing unit may 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 a program, and process the data of the program. The communication device 9100 is used to execute any of the above methods.

[0386] In some embodiments, the communication device 9100 further includes one or more memories 9102 for storing instructions. Optionally, all or part of the memory 9102 may also be outside the communication device 9100.

[0387] In some embodiments, the communication device 9100 further includes one or more transceivers 9103. When the communication device 9100 includes one or more transceivers 9103, the transceiver 9103 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, but not limited thereto), and the processor 9101 performs other steps (for example, step S2102, step S2105, step S2106, step S2107).

[0388] In some embodiments, the transceiver may include a receiver and / or a transmitter, and the receiver and the transmitter may be separate or integrated. Optionally, the terms such as transceiver, transceiver unit, transceiver, transceiver circuit, etc. may be replaced with each other, the terms such as transmitter, transmission unit, transmitter, transmission circuit, etc. may be replaced with each other, and the terms such as receiver, receiving unit, receiver, receiving circuit, etc. may be replaced with each other.

[0389] In some embodiments, the communication device 9100 may include one or more interface circuits 9104. Optionally, the interface circuit 9104 is connected to the memory 9102, and the interface circuit 9104 may be used to receive signals from the memory 9102 or other devices, and may be used to send signals to the memory 9102 or other devices. For example, the interface circuit 9104 may read instructions stored in the memory 9102 and send the instructions to the processor 9101.

[0390] [Corrected 04.08.2023 according to Rule 26] The communication device 9100 described in the above embodiments may be a terminal or a first entity or a second entity, but the scope of the communication device 9100 described in the present disclosure is not limited thereto, and the structure of the communication device 9100 may not be limited by FIG. 9A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0391] 9B is a schematic diagram of the structure of a chip 9200 provided in an embodiment of the present disclosure. In the case where the communication device 9100 may be a chip or a chip system, reference may be made to the schematic diagram of the structure of the chip 9200 shown in FIG. 9B , but the present disclosure is not limited thereto.

[0392] The chip 9200 includes one or more processors 9201, and the chip 9200 is used to execute any of the above methods.

[0393] In some embodiments, the chip 9200 further includes one or more interface circuits 9202. Optionally, the interface circuit 9202 is connected to the memory 9203. The interface circuit 9202 can be used to receive signals from the memory 9203 or other devices, and the interface circuit 9202 can be used to send signals to the memory 9203 or other devices. For example, the interface circuit 9202 can read instructions stored in the memory 9203 and send the instructions to the processor 9201.

[0394] In some embodiments, the interface circuit 9202 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, but not limited to this), and the processor 9201 executes other steps (for example, step S2102, step S2105, step S2106, step S2107).

[0395] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0396] In some embodiments, the chip 9200 further includes one or more memories 9203 for storing instructions. Optionally, all or part of the memory 9203 may be outside the chip 9200.

[0397] The present disclosure also proposes a storage medium, on which instructions are stored, and when the instructions are executed on the communication device 9100, the communication device 9100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited to this, and it can also be a storage medium readable by other devices. Optionally, the storage medium can be a non-transitory storage medium, but is not limited to this, and it can also be a temporary storage medium.

[0398] The present disclosure also proposes a program product, which, when executed by the communication device 9100, enables the communication device 9100 to execute any of the above methods. Optionally, the program product is a computer program product.

[0399] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to execute any one of the above methods.

Claims

A method for transmitting information, characterized in that: The method is performed by a first entity, and includes: receiving a first request sent by a first terminal, wherein the first request includes a first artificial intelligence (AI) parameter; and sending a first response to the first terminal, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter. The method according to claim 1, characterized in that Also includes: Based on the associated AI information, the public land mobile network PLMN policy and at least one of the first AI parameters, it is determined whether the AI ​​capability or AI function indicated by the first AI parameter is supported. The method according to claim 1 or 2, characterized in that Also includes: and supporting the AI ​​capability or AI function indicated by the first AI parameter, and determining first AI information included in the first response. The method according to claim 3, characterized in that The first AI information includes any one of the following: one or more AI model identification IDs; one or more AI capability IDs; one or more AI function IDs. The method according to any one of claims 1 to 4, characterized in that: Also includes: The AI ​​model associated with the first AI parameter is run. The method according to any one of claims 1 to 5, characterized in that: Also includes: Sending first information to the second entity, wherein the first information includes an identifier of the first terminal and the first AI parameter. The method according to claim 6, characterized in that Also includes: Receive a second request sent by a second terminal; neither the second request nor the first entity includes a second AI parameter of the second terminal, send a third request to the second entity, wherein the third request includes an identifier of the second terminal; receive the second AI parameter sent by the second entity; send a second response to the second terminal, wherein the second response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the second AI parameter. 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 a first artificial intelligence (AI) parameter; and receiving a first response sent by the first entity, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter. The method according to claim 8, characterized in that The first response includes first AI information, determining that the first entity supports the AI ​​capability or AI function indicated by the first AI parameter. The method according to claim 9, characterized in that The first AI information includes any one of the following: one or more AI model identification IDs; one or more AI capability IDs; one or more AI function IDs. The method according to claim 8 or 10, characterized in that Also includes: Running a first AI model associated with the first AI information. The method according to any one of claims 8 to 11, characterized in that: The first response indicates that the first entity supports the AI ​​capability or AI function indicated by the AI ​​parameter, obtains a second AI model ID associated with the first AI parameter; and runs a second AI model associated with the second AI model ID. The method according to any one of claims 8 to 12, characterized in that: The first request is an access request, and the first AI parameter is included in an access network parameter. A method for transmitting information, characterized in that: The method is performed by a second entity, and includes: receiving first information sent by a first entity, wherein the first information includes an identifier of a first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal; and associating and storing the identifier of the first terminal and the first AI parameter. The method according to claim 14, characterized in that Also includes: receiving a third request sent by the first entity, wherein the third request includes an identifier of the second terminal; Query and obtain a second AI parameter based on the identifier of the second terminal; and send the second AI parameter to the first entity. A method for transmitting information, characterized in that: 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 a first artificial intelligence AI parameter; the first entity sends a first response to the first terminal, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter; the first entity sends first information to the second entity, wherein the first information includes an identifier of the first terminal and the first AI parameter; the second entity associates and stores the identifier of the first terminal with the first AI parameter. A first entity, characterized in that The first entity includes: a transceiver module, used to receive a first request, wherein the first request includes a first artificial intelligence AI parameter; the transceiver module is used to send a first response, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter. The first entity according to claim 17, characterized in that Also includes: The processing module is used to determine whether the AI ​​capability or AI function indicated by the first AI parameter is supported based on the associated AI information, the public land mobile network PLMN policy and at least one of the first AI parameters. The first entity according to claim 17 or 18, characterized in that The processing module is further configured to: support the AI ​​capability or AI function indicated by the first AI parameter, and determine the first AI information included in the first response. The first entity according to claim 19, characterized in that The first AI information includes any one of the following: one or more AI model identification IDs; one or more AI capability IDs; one or more AI function IDs. The first entity according to any one of claims 17 to 20, characterized in that: The processing module is further used to: run the AI ​​model associated with the first AI parameter. The first entity according to any one of claims 17 to 21, characterized in that: The transceiver module is further used to send first information to the second entity, wherein the first information includes an identifier of the first terminal and the first AI parameter. The first entity according to claim 22, characterized in that The transceiver module is further used to: receive a second request sent by a second terminal; neither the second request nor the first entity includes a second AI parameter of the second terminal, and send a third request to the second entity, wherein the third request includes an identifier of the second terminal; receive the second AI parameter sent by the second entity; and send a second response to the second terminal, wherein the second response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the second AI parameter. A terminal, characterized in that: The terminal includes: a transceiver module, used to send a first request to a first entity, wherein the first request includes a first artificial intelligence AI parameter; the transceiver module is used to receive a first response sent by the first entity, wherein the first response is used to indicate whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter. The terminal according to claim 24, characterized in that Also includes: A processing module is used to determine whether the first entity supports the AI ​​capability or AI function indicated by the first AI parameter, wherein the first response includes first AI information. The terminal according to claim 25, characterized in that The first AI information includes any one of the following: one or more AI model identification IDs; one or more AI capability IDs; one or more AI function IDs. The terminal according to claim 25 or 26, characterized in that The processing module is further used to run the first AI model associated with the first AI information. The terminal according to any one of claims 24 to 27, characterized in that: The processing module is further used to: obtain a second AI model ID associated with the first AI parameter, wherein the first response indicates that the first entity supports the AI ​​capability or AI function indicated by the AI ​​parameter; and run a second AI model associated with the second AI model ID. The terminal according to any one of claims 24 to 28, characterized in that: The first request is an access request, and the first AI parameter is included in an access network parameter. A second entity, characterized in that include: A transceiver module, configured to receive first information sent by a first entity, wherein the first information includes an identifier of a first terminal and a first AI parameter, wherein the first AI parameter is used to indicate an AI capability or AI function possessed by the first terminal; and a processing module, configured to associate and store the identifier of the first terminal and the first AI parameter. The second entity according to claim 30, characterized in that The transceiver module is further used to receive a third request sent by the first entity, wherein the third request includes an identifier of the second terminal; the processing module is further used to query and obtain a second AI parameter based on the identifier of the second terminal; the transceiver module is further used to send the second AI parameter to the first entity. A communication device, characterized in that: include: One or more processors; wherein the processor is used to execute the information transmission method described in any one of claims 1 to 7, or to execute the information transmission method described in any one of claims 8 to 13, or to execute the information transmission method described in claim 14 or 15. A communication system, characterized in that: It includes a terminal, a first entity and a second entity, wherein the first entity is configured to implement the information transmission method described in any one of claims 1 to 7, the terminal is configured to implement the information transmission method described in any one of claims 8 to 13, and the second entity is configured to implement the information transmission method described in any one of claims 14 to 15. A storage medium stores 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 1-7, 8-13 or 14-15.

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