Artificial intelligence capability reporting method and apparatus

Abstract

Embodiments of the present application provide an AI capability reporting method and apparatus. The method comprises: a terminal device sends reporting information to a first network device, the reporting information comprising AI capability information of a first cell; or a core network device sends a fourth message to the first network device, the fourth message comprising AI capability information related to a second network device.

Description

Artificial intelligence capability reporting method and device Technical Field

[0001] The embodiments of the present application relate to the field of communication technologies. Background Art

[0002] The 3GPP R18 artificial intelligence / machine learning (AI / ML) project defines multiple scenarios or sub-scenarios, such as CSI enhancement (which may also include at least one sub-scenario of CSI compression and CSI prediction), beam management, positioning or other scenarios. Different scenarios or sub-scenarios may correspond to one or more features / feature groups. Applying AI / ML to the above feature / feature group is called AI / ML-based / enabled feature / feature group. An AI / ML-based / enabled feature / feature group may correspond to one or more AI functions and / or one or more AI models. One AI function may correspond to one or more AI models. A function refers to an AI / ML-based / enabled feature / feature group that is configured and enabled. The possible logic is shown in Figure 1.

[0003] Among them, the life cycle management (LCM) corresponding to AI / ML-based / enabled features / feature groups can be divided into functionality-based LCM and model-ID-based LCM, depending on whether it is at the functionality granularity or model (model-ID) granularity. LCM may include at least one of the following: data collection, model training, model inference, model monitoring, model / functionality control, model update, model transfer / delivery, model storage, UE capability reporting, or other processes. Among them, model / functionality control includes at least one of the following AI operations: model / function selection, activation, deactivation, switching or changing, fallback, release, or other operations. Among them, fallback refers to falling back to a mode without AI application.

[0004] It should be noted that the above introduction to the technical background is merely intended to provide a clear and complete description of the technical solutions of this application and facilitate understanding by those skilled in the art. Simply because these solutions are described in the background technology section of this application, it should not be assumed that the above technical solutions are well known to those skilled in the art.

[0005] Summary of the Invention

[0006] The inventors discovered that after the introduction of AI / ML, some network devices may support AI / ML while others do not, or different network devices may support different AI / ML-related capabilities. In existing methods, network devices cannot learn about the AI / ML-related capabilities of other network devices. For example, when a terminal device needs to be handed over to another network device, it may not be possible to select a better target cell for the terminal device.

[0007] In response to at least one of the above problems or other similar problems, embodiments of the present application provide an AI capability reporting method and device, and a communication system.

[0008] According to one aspect of an embodiment of the present application, there is provided an AI capability reporting device, configured in a terminal device (UE), wherein the device includes:

[0009] A sending unit is configured to send reporting information to the first network device, where the reporting information includes AI capability information of the first cell.

[0010] According to another aspect of an embodiment of the present application, there is provided an AI capability reporting apparatus, configured on a first network device, wherein the apparatus includes:

[0011] A receiving unit that receives reporting information sent by a terminal device, where the reporting information includes AI capability information of the first cell, or receives a fourth message sent by a core network device, where the fourth message includes AI capability information related to the second network device.

[0012] According to another aspect of an embodiment of the present application, there is provided an artificial intelligence (AI) capability reporting device, configured in a core network device, wherein the device includes:

[0013] A sending unit is configured to send a fourth message to the first network device, where the fourth message includes AI capability information related to the second network device.

[0014] One of the beneficial effects of the embodiments of the present application is that: according to the embodiments of the present application, the network device can obtain AI capability information related to adjacent network devices without direct interfaces via the terminal device or the core network device, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device that supports AI, and enabling the AI ​​function of the terminal device as much as possible.

[0015] With reference to the following description and accompanying drawings, specific embodiments of the present application are disclosed in detail, indicating the manner in which the principles of the present application can be employed. It should be understood that the embodiments of the present application are not limited in scope. Within the spirit and scope of the appended claims, the embodiments of the present application include many variations, modifications and equivalents.

[0016] Features described and / or illustrated with respect to one embodiment may be used in the same or similar manner in one or more other embodiments, combined with features in other embodiments, or substituted for features in other embodiments.

[0017] It should be emphasized that the term "include / comprising" when used herein refers to the presence of features, integers, steps or components, but does not exclude the presence or addition of one or more other features, integers, steps or components. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The elements and features described in one figure or one embodiment of the present application can be combined with the elements and features shown in one or more other figures or embodiments. In addition, in the accompanying drawings, similar reference numerals represent corresponding parts in several figures and can be used to indicate corresponding parts used in more than one embodiment.

[0019] FIG1 is a logical diagram of AI functions and their corresponding AI models;

[0020] FIG2 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0021] FIG3 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0022] FIG4 is an interactive diagram of the AI ​​capability reporting method according to an embodiment of the present application;

[0023] FIG5 is an interactive diagram of an AI capability reporting method according to an embodiment of the present application;

[0024] FIG6 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application;

[0025] FIG7 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0026] FIG8 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application;

[0027] FIG9 is an interactive diagram of an AI capability reporting method according to an embodiment of the present application;

[0028] FIG10 is a schematic diagram of an AI capability reporting device according to an embodiment of the present application;

[0029] FIG11 is a schematic diagram of an AI capability reporting device according to an embodiment of the present application;

[0030] FIG12 is a schematic diagram of a communication system according to an embodiment of the present application;

[0031] FIG13 is a schematic diagram of a terminal device according to an embodiment of the present application;

[0032] FIG14 is a schematic diagram of a network device according to an embodiment of the present application. DETAILED DESCRIPTION

[0033] The above and other features of the present application will become apparent through the following description with reference to the accompanying drawings. In the description and the accompanying drawings, specific embodiments of the present application are disclosed in detail, which illustrate some embodiments in which the principles of the present application can be adopted. It should be understood that the present application is not limited to the described embodiments. On the contrary, the present application includes all modifications, variations and equivalents that fall within the scope of the appended claims.

[0034] In the embodiments of the present application, the terms "first", "second", etc. are used to distinguish different elements from the name, but do not indicate the spatial arrangement or temporal order of these elements, and these elements should not be limited by these terms. The term "and / or" includes any one and all combinations of one or more of the associated listed terms. The terms "comprising", "including", "having", etc. refer to the presence of the stated features, elements, components or components, but do not exclude the presence or addition of one or more other features, elements, components or components.

[0035] In the embodiments of this application, the singular forms "a," "the," etc. include plural forms and should be broadly understood to mean "a" or "a type" rather than being limited to "one." Furthermore, the term "said" should be understood to include both singular and plural forms, unless the context clearly indicates otherwise. Furthermore, the term "according to" should be understood to mean "at least in part based on...", and the term "based on" should be understood to mean "at least in part based on...", unless the context clearly indicates otherwise.

[0036] In the embodiments of the present application, a scenario involving network devices and / or terminal devices is taken as an example.

[0037] In the above scenario, the network device may include at least one of a core network device, a third-party application device, an operation administration and maintenance (OAM), and an access network device.

[0038] The core network device may refer to a device in the core network (CN) that provides service support for the terminal device. As some examples, the core network device may be at least one of the following: a mobility and management entity (MME), an access and mobility management function (AMF) entity, a session management function (SMF) entity, a user plane function (UPF) entity, a location management function (LMF) entity, and the like, which are not listed here one by one. Among them, the AMF entity may be responsible for the access management and mobility management of the terminal, the SMF entity may be responsible for session management, such as the establishment of a user session, and the UPF entity may be a functional entity of the user plane, mainly responsible for connecting to the external network. The LMF entity may manage the overall coordination and scheduling of resources required for the location of the terminal device registered with the core network device or accessing the core network device. It should be noted that in the embodiment of the present application, the entity may also be referred to as a network element or a functional entity, such as the AMF entity may also be referred to as an AMF network element or an AMF functional entity, and so on.

[0039] The third-party application device can be an OTT service (over the top server) or other third-party device.

[0040] OAM is a network device that performs operations, management, and maintenance on the network according to the actual needs of the operator's network operations.

[0041] The access network device is an access device that the terminal device uses to access the communication system wirelessly. The access network device can be a base station (BS), an evolved NodeB (eNodeB), a transmission reception point (TRP), a base station (next generation NodeB, gNB) in the fifth generation (5G) mobile communication system, a base station in the sixth generation (6G) mobile communication system, a base station in a future mobile communication system, or an access node in a WiFi system. The access network device can also be a module or unit that completes part of the functions of the base station. For example, it can be at least one of the following modules or units: a centralized unit (CU), a distributed unit (DU), a centralized unit control plane (CU control plane, CU-CP), a centralized unit user plane (CU user plane, CU-CP), an integrated access backhaul (IAB) or other modules or units. The embodiments of the present application do not limit the specific technology and / or specific device form adopted by the access network device. The access network equipment can be deployed on land, including indoors / outdoors, and can be handheld or vehicle-mounted; it can also be deployed on the water, on an airplane, on a balloon or on a satellite; the access network equipment can be deployed in a fixed location or on a mobile carrier, and the embodiments of the present application do not limit this.

[0042] In the above scenarios, a terminal device can be a device with wireless transceiver capabilities that can send signals to and / or receive signals from an access network device. A terminal device can also be referred to as a terminal, mobile station, or mobile terminal. A terminal device can be a mobile phone, tablet, or other device with wireless intelligent transceiver capabilities. Terminal devices can be widely used in various scenarios, such as device-to-device (D2D), vehicle-to-everything (V2X) communication, machine-type communication (MTC), the Internet of Things (IoT), virtual reality, augmented reality, industrial control, autonomous driving, telemedicine, and various smart scenarios.

[0043] In the above scenarios, access network devices and terminal devices, and terminal devices and terminal devices can communicate via licensed spectrum, unlicensed spectrum, or both. The embodiments of this application do not limit the spectrum resources used for wireless communications.

[0044] In the following description of this application, artificial intelligence (AI) may also be referred to as artificial intelligence / machine learning (AI / ML) or machine learning ML. These terms are interchangeable. For example, "AI-based feature or feature group" and "AI- or ML-based feature or feature group" have the same meaning, and their corresponding English terms can be AI / ML-based feature / FG.

[0045] The following describes embodiments of the present application with reference to the accompanying drawings and detailed descriptions. For ease of description, the following description uses a base station as an example of an access network device. In the following description, "if," "under the circumstances," and "when" can be used interchangeably to avoid confusion.

[0046] Embodiments of the first aspect

[0047] An embodiment of the present application provides an AI capability reporting method, which is described from the perspective of a terminal device.

[0048] FIG2 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG2 , the method includes:

[0049] 202. The terminal device sends reporting information to the first network device, where the reporting information includes AI capability information of the first cell.

[0050] It is worth noting that FIG2 above only schematically illustrates an embodiment of the present application, and the present application is not limited thereto. For example, other operations may be added or some operations may be reduced. Those skilled in the art may make appropriate modifications based on the above content, and are not limited to the description of FIG2 above.

[0051] According to an embodiment of the present application, there is no interface between the network device and the adjacent network device, so it is impossible to directly exchange AI capability information through the interface. The network device can obtain AI capability information related to the adjacent network device without a direct interface with the assistance of the terminal device, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device that supports AI, and enabling the AI ​​function of the terminal device as much as possible.

[0052] In some embodiments, the AI ​​capability information includes at least one of the following: information supporting artificial intelligence; information supporting at least one artificial intelligence-based feature or feature group; information supporting at least one function; information supporting at least one model; information related to artificial intelligence-based features or special effects groups, and functions and / or models; and information supporting at least one model transmission method. The following describes each of the aforementioned AI capability information.

[0053] For example, AI support information is used to indicate whether the current cell supports artificial intelligence. The AI ​​support information can be represented by a 1-bit information element. When the AI ​​capability information includes this information element, it indicates that AI is supported, and when it does not include this information element, it indicates that AI is not supported. Alternatively, when the bit value of this information element is a first value, it indicates that AI is supported, and when the bit value is a second value, it indicates that AI is not supported. The first value can be 1 and the second value can be 0, or the first value can be 0 and the second value can be 1. The embodiments of the present application are not limited to this.

[0054] For example, support information for at least one artificial intelligence-based feature or feature group is used to indicate whether the cell supports the artificial intelligence-based feature or feature group. For example, when the identification information of a feature or feature group appears in the AI ​​capability information, it indicates that the corresponding feature or feature group identified by the identification information is supported. When the identification information of the feature or feature group does not appear, it indicates that the corresponding feature or feature group is not supported. The identification information of the feature or feature group can be an index, an identifier, a name, or other information.

[0055] For example, the support information of at least one function is used to indicate whether the current cell supports the function, or to indicate whether the current cell supports the function under a certain artificial intelligence-based feature or feature group; optionally, the function can be indicated by the function identification information. The function identification information can be an index, an identifier, a name, or other information. For example, when the function identification information appears in the AI ​​capability information, it indicates that the corresponding function identified by the identification information is supported. When the function identification information does not appear, it indicates that the corresponding function is not supported.

[0056] For example, the support information of at least one model is used to indicate whether the current cell supports the model, or to indicate whether the current cell supports the model under a certain function under a certain artificial intelligence-based feature or feature group, or to indicate whether the current cell supports the model under a certain artificial intelligence-based feature or feature group; optionally, the model can be indicated by the identification information of the model. The identification information of the model can be an index, an identifier, a name, or other information.

[0057] For example, when the model identification information appears in the AI ​​capability information, it means that the corresponding model identified by the identification information is supported. When the model identification information does not appear, it means that the corresponding model is not supported.

[0058] For example, information related to artificial intelligence-based features or feature groups, and functions and / or models is used to indicate information related to features or feature groups, and functions, and / or information related to features or feature groups, and models, and / or information related to features or feature groups, and functions, and / or information related to features or feature groups, and models.

[0059] The following examples illustrate the above AI capability information:

[0060] Example 1

[0061] In Example 1, it indicates that the current cell supports model Z under function Y under artificial intelligence-based feature or feature group X, and indirectly indicates the association information of X, Y, and Z.

[0062] Example 2

[0063] In Example 2, the association information directly indicates the association between feature or feature group X and function Y. Functionality Y indicates that the current cell supports function Y. Combined with this association information, it is determined that the current cell supports artificial intelligence-based feature or function Y under feature group X. Examples are not given one by one here.

[0064] For example, the support information of at least one model transmission method can be used to indicate the model transmission method information supported by the cell; wherein the model transmission method may include at least one of the following methods: model transmission based on the control plane, model transmission based on the user plane, segmented transmission, transmission from a network device to a terminal device, transmission from a terminal device to a network device, etc. Correspondingly, the support information of at least one model transmission method is used to indicate whether the current cell supports the at least one method mentioned above. The support information of the at least one model transmission method can be represented by a bit string, and different bits in the bit string correspond to different model transmission methods, and the value of the bit is used to indicate whether the corresponding model transmission method is supported. For example, when the bit string is set to a specific value (for example, 000), it indicates that no model transmission method is supported. When the bit string is set to 001, it indicates that model transmission based on the control plane is supported, and so on. Examples are not given one by one here, but the embodiments of the present application are not limited to this.

[0065] In some embodiments, the reported information may also include cell information of the first cell. The cell information includes at least one of the following information: a cell global identifier (CGI), a physical cell identifier (PCI) and frequency information, a cell identifier (cell ID), a non-public network identifier (NPN ID), a non-terrestrial network identifier (NTN ID) or at least one of other cell identifiers. CGI may include a public land mobile network (PLMN ID) and a cell ID. Optionally, the cell information may also include a tracking area code (TAC) and / or identification information of a network device to which the cell belongs, such as a global network device identifier.

[0066] In some embodiments, the first cell is a neighboring cell of a serving cell of a terminal device. The first cell and the serving cell may be cells under different network devices. For example, the serving cell is a cell under the first network device, and the first cell is a cell under a second network device different from the first network device. The first cell may include one cell or multiple cells, and the embodiments of the present application are not limited thereto.

[0067] In some embodiments, optionally, the method may further include:

[0068] 201. The terminal device receives configuration information sent by the first network device, where the configuration information includes first indication information for instructing the terminal device to report AI capability information of the first cell.

[0069] In some embodiments, the configuration information may optionally further include cell information of the first cell. The implementation of the cell information is as described above and will not be repeated here. The terminal device determines which cell (the first cell) to obtain and / or report AI capability information based on the cell information in the configuration information.

[0070] In some embodiments, the configuration information may optionally further include second indication information for indicating the AI ​​capability information that the terminal device needs to report. Based on this second indication information, the terminal device can report the AI ​​capability information of the cell of interest to the first network device, reducing unnecessary signaling overhead. For example, when the second indication information includes a characteristic or characteristic group information element, the second indication information is used to indicate that the AI ​​capability information reported by the terminal device includes support information for at least one artificial intelligence-based characteristic or characteristic group. Accordingly, the terminal device can report the first cell's support information for the at least one artificial intelligence-based characteristic or characteristic group. For example, when the second indication information includes a model information element, the second indication information is used to indicate that the AI ​​capability information reported by the terminal device includes support information for at least one model; accordingly, the terminal device can report the first cell's support information for the at least one model. For example, when the second indication information includes a function information element, the second indication information is used to indicate that the AI ​​capability information reported by the terminal device includes support information for at least one function; accordingly, the terminal device can report the first cell's support information for the at least one function. Details will not be detailed here, but the embodiments of the present application are not limited thereto. For example, a new bit string can also be designed, in which different bit values ​​correspond to different types of AI capability information or a combination of different types of AI capability information. The correspondence between bit values ​​and different types of AI capability information or a combination of different types of AI capability information can be predetermined. After receiving the second indication information, the terminal device can determine which types of AI capability information to obtain and / or report based on the correspondence.

[0071] In some embodiments, optionally, the embodiment of the present application may further include: step 200 (not shown), the first network device obtains first UE capability information of the terminal device, and the first UE capability information is used to indicate whether the terminal device supports the ability to obtain AI capability information of the cell.

[0072] As a possible implementation method, when the first UE capability information indicates that the terminal device supports obtaining the AI ​​capability information of the cell, or when the first UE capability information indicates that the terminal device has the ability to obtain the AI ​​capability information of the cell, the embodiment of the present application performs operation 201. It can be understood that the embodiment of the present application is not limited to this. The first UE capability information can be represented by a 1-bit information element. When the information element is included, it indicates that the acquisition of the AI ​​capability information of the cell is supported; and / or, when the information element is not included, it indicates that the acquisition of the AI ​​capability information of the cell is not supported. Alternatively, when the bit value of the information element is the first value, it indicates that the acquisition of the AI ​​capability information of the cell is supported, and / or, when the bit value is the second value, it indicates that the acquisition of the AI ​​capability information of the cell is not supported. As an example, the first value can be 1 and the second value can be 0; or, the first value can be 0 and the second value can be 1, and the embodiment of the present application is not limited to this.

[0073] In some embodiments, the first network device can receive the first UE capability information sent by the terminal device, or the first network device can receive the first UE capability information sent by the core network device or other access network device. The embodiments of the present application are not limited to this.

[0074] In some embodiments, before sending the reporting information (i.e., step 202), the method may further include: (not shown) the terminal device obtaining the AI ​​capability information of the first cell. The terminal device may obtain the AI ​​capability information of the first cell based on or without the configuration information. Here, obtaining the AI ​​capability information of the first cell includes: the terminal device reading the system message of the first cell to obtain the AI ​​capability information of the first cell carried by the system message. Alternatively, the terminal device establishes a connection with the first cell and obtains the AI ​​capability information of the first cell through signaling interaction. Alternatively, the terminal device may store the AI ​​capability information of the first cell.

[0075] In some embodiments, after receiving the first indication information, if the terminal device has obtained the AI ​​capability information of the first cell, the terminal device sends the reporting information to the terminal device according to the configuration information; or, after receiving the first indication information, if the terminal device has not yet obtained the AI ​​capability information of the first cell, the terminal device obtains the AI ​​capability information of the first cell according to the configuration information and sends the reporting information to the terminal device.

[0076] As a possible implementation, the terminal device may pre-store the AI ​​capability information of one or more neighboring cells of the service cell. After receiving the configuration information (the first indication information indicates the AI ​​capability information of the reporting cell), the terminal device selects the first cell from the one or more neighboring cells based on the cell information in the configuration information, and reports the AI ​​capability information of the first cell to the first network device. Furthermore, the terminal device may select the AI ​​capability information of the first cell of interest to the first network device for reporting based on the second indication information in the configuration information.

[0077] As another possible implementation, after receiving the configuration information (the first indication information indicates reporting the AI ​​capability information of the cell), the terminal device reads the system message of the first cell based on the cell information in the configuration information to obtain the AI ​​capability information of the first cell, and reports the AI ​​capability information of the first cell to the first network device. Furthermore, the terminal device can read the system message of the first cell based on the second indication information to obtain the AI ​​capability information of the first cell of interest to the first network device, and report the AI ​​capability information of the first cell of interest to the first network device.

[0078] As another possible implementation, after receiving the configuration information (the first indication information indicates reporting the AI ​​capability information of the cell), the terminal device establishes a connection with the first cell based on the cell information in the configuration information, obtains the AI ​​capability information of the first cell, and reports the AI ​​capability information of the first cell to the first network device. Furthermore, the terminal device may obtain the AI ​​capability information of the first cell of interest to the first network device based on the second indication information, and report the AI ​​capability information of the first cell of interest to the first network device.

[0079] The above describes the method for reporting AI capabilities from the terminal device side.

[0080] An embodiment of the present application also provides an AI capability reporting method, which is described from the side of the first network device.

[0081] FIG3 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG3 , the method includes:

[0082] 303. The first network device receives reporting information sent by the terminal device, where the reporting information includes AI capability information of the first cell.

[0083] The description of the implementation of step 303 refers to the description of step 202 and will not be repeated here.

[0084] In some embodiments, optionally, the method may further include:

[0085] 301. A first network device obtains capability information of a first UE.

[0086] The description of the implementation of step 301 refers to the description of step 200 and will not be repeated here.

[0087] 302. The first network device sends configuration information to the terminal device.

[0088] The description of the implementation of step 302 refers to the description of step 201 and will not be repeated here.

[0089] The implementation of steps 301-303 corresponds to the terminal device side, and the repeated parts are not repeated here.

[0090] FIG4 and FIG5 are interaction diagrams of the AI ​​capability reporting method according to an embodiment of the present application. As shown in FIG4 , the method includes:

[0091] 401. The terminal device sends first UE capability information to the first network device;

[0092] The description of the implementation of step 401 refers to the description of step 200 and will not be repeated here.

[0093] 402. The first network device sends configuration information to the terminal device;

[0094] The description of the implementation of step 402 refers to the description of step 201 and will not be repeated here.

[0095] 403. The terminal device obtains AI capability information of the first cell of the second network device according to the configuration information.

[0096] For example, in 403, the terminal device reads the system message of the first cell according to the configuration information to obtain the AI ​​capability information of the first cell carried by the system message. Alternatively, the terminal device establishes a connection with the first cell and obtains the AI ​​capability information of the first cell through signaling interaction.

[0097] For a specific description of step 403, please refer to the relevant description of the terminal device obtaining the AI ​​capability information of the first cell in the embodiment corresponding to Figure 2, which will not be repeated here.

[0098] 404. The terminal device sends reporting information to the first network device.

[0099] The description of the implementation of step 404 refers to the description of step 202 and will not be repeated here.

[0100] As shown in FIG5 , the method includes:

[0101] 501. The terminal device obtains AI capability information of a first cell of a second network device.

[0102] For example, in 501, the terminal device may pre-store AI capability information of one or more neighboring cells of the serving cell.

[0103] For the specific description of step 501, please refer to the relevant description of the terminal device obtaining the AI ​​capability information of the first cell in the embodiment corresponding to Figure 2, which will not be repeated here.

[0104] 502. The terminal device sends first UE capability information to the first network device;

[0105] The description of the implementation of step 502 refers to the description of step 200 and will not be repeated here.

[0106] 503, the first network device sends configuration information to the terminal device;

[0107] The description of the implementation of step 503 refers to the description of step 201 and will not be repeated here.

[0108] 504. The terminal device sends reporting information to the first network device according to the configuration information.

[0109] The description of the implementation of step 504 refers to the description of step 202 and will not be repeated here.

[0110] The meanings of the first UE capability information, configuration information, AI capability information, and reporting information in Figures 4 and 5 are as described above and will not be repeated here. The above-mentioned first UE capability information, configuration information, and reporting information can be carried by RRC signaling and / or MAC CE signaling, and the embodiments of the present application are not limited to this.

[0111] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0112] According to an embodiment of the present application, there is no interface between the network device and the adjacent network device, so it is impossible to directly exchange AI capability information through the interface. The network device can obtain AI capability information related to the adjacent network device without a direct interface with the assistance of the terminal device, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device that supports AI, and enabling the AI ​​function of the terminal device as much as possible.

[0113] Embodiments of the second aspect

[0114] An embodiment of the present application provides an AI capability reporting method, which is described from the perspective of a core network device.

[0115] FIG6 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG6 , the method includes:

[0116] 604. The core network device sends a fourth message to the first network device, where the fourth message includes AI capability information related to the second network device.

[0117] It is worth noting that FIG6 above only schematically illustrates an embodiment of the present application, and the present application is not limited thereto. For example, other operations may be added or some operations may be reduced. Those skilled in the art may make appropriate modifications based on the above content, and are not limited to the description of FIG6 above.

[0118] According to an embodiment of the present application, there is no interface between the network device and the adjacent network device, so it is impossible to directly exchange AI capability information through the interface. The network device can obtain AI capability information related to the adjacent network device without a direct interface with the assistance of the core network device, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device that supports AI, and enabling the AI ​​function of the terminal device as much as possible.

[0119] Optionally, the fourth message may further include identification information of the second network device. The identification information of the network device may be an ID of the network device or name information of the network device, such as a global node ID, a gNB-CU name, or other identification information of the network device.

[0120] In some embodiments, when a terminal device switches from a service cell under a first network device to a target cell under a second network device via a core network device, the network device can obtain AI capability information related to adjacent network devices without direct interfaces through the core network device through the switching process. The following uses the switching process as an example to illustrate how the core network device assists in obtaining AI capability information related to adjacent network devices without direct interfaces. It should be noted that this application is not limited to this switching process, and other existing or newly created signaling interaction processes can also be used to assist in obtaining AI capability information related to adjacent network devices without direct interfaces through the core network device.

[0121] In some embodiments, the AI ​​capability information includes at least one of the following: information supporting artificial intelligence; information supporting at least one artificial intelligence-based feature or feature group; information supporting at least one function; information supporting at least one model; information related to artificial intelligence-based features or special effects groups, and functions and / or models; and information supporting at least one model transmission method. The following describes each of the aforementioned AI capability information.

[0122] For example, AI support information is used to indicate whether the current network device, the current cell, or the current DU supports artificial intelligence. The AI ​​support information can be represented by a 1-bit information element. When the AI ​​capability information includes this information element, it indicates that AI is supported, and when it does not include this information element, it indicates that AI is not supported. Alternatively, when the bit value of the information element is a first value, it indicates that AI is supported, and when the bit value is a second value, it indicates that AI is not supported. The first value can be 1 and the second value can be 0, or the first value can be 0 and the second value can be 1. The embodiments of the present application are not limited to this.

[0123] For example, support information for at least one artificial intelligence-based feature or feature group is used to indicate whether the current network device, cell, or current DU supports the artificial intelligence-based feature or feature group. For example, when the identification information of a feature or feature group appears in the AI ​​capability information, it indicates that the corresponding feature or feature group identified by the identification information is supported. When the identification information of the feature or feature group does not appear, it indicates that the corresponding feature or feature group is not supported. The identification information of the feature or feature group can be an index, an identifier, a name, or other information.

[0124] For example, the support information of at least one function is used to indicate whether the current network device or the current cell or the current DU supports the function, or to indicate whether the current network device or the current cell or the current DU supports the function under a certain artificial intelligence-based feature or feature group; optionally, the function can be indicated by the identification information of the function. The identification information of the function can be an index, an identifier, a name or other information. For example, when the identification information of the function appears in the AI ​​capability information, it indicates that the corresponding function identified by the identification information is supported. When the identification information of the function does not appear, it indicates that the corresponding function is not supported.

[0125] For example, the support information of at least one model is used to indicate whether the current network device or the current cell or the current DU supports the model, or to indicate whether the current network device or the current cell or the current DU supports the model under a certain function under a certain artificial intelligence-based feature or feature group, or to indicate whether the current network device or the current cell or the current DU supports the model under a certain artificial intelligence-based feature or feature group; optionally, the model can be indicated by the identification information of the model. The identification information of the model can be an index, an identifier, a name or other information.

[0126] For example, when the model identification information appears in the AI ​​capability information, it means that the corresponding model identified by the identification information is supported. When the model identification information does not appear, it means that the corresponding model is not supported.

[0127] For example, information related to artificial intelligence-based features or feature groups, and functions and / or models is used to indicate information related to features or feature groups, and functions, and / or information related to features or feature groups, and models, and / or information related to features or feature groups, and functions, and / or information related to features or feature groups, and models.

[0128] The following examples illustrate the above AI capability information:

[0129] Example 1

[0130] In Example 1, it indicates that the current cell supports model Z under function Y under artificial intelligence-based feature or feature group X, and indirectly indicates the association information of X, Y, and Z.

[0131] Example 2

[0132] In Example 2, the association information directly indicates the association between feature or feature group X and function Y. Functionality Y indicates that the current cell supports function Y. Combined with this association information, it is determined that the current cell supports artificial intelligence-based feature or function Y under feature group X. Examples are not given one by one here.

[0133] For example, the support information of at least one model transmission method can be used to indicate the model transmission method information supported by the network device or cell or DU; wherein the model transmission method may include at least one of the following methods: model transmission based on the control plane, model transmission based on the user plane, segmented transmission, transmission from the network device to the terminal device, transmission from the terminal device to the network device, etc. Correspondingly, the support information of at least one model transmission method is used to indicate whether the current cell supports the above at least one method. The support information of the at least one model transmission method can be represented by a bit string, and different bits in the bit string correspond to different model transmission methods, and the value of the bit is used to indicate whether the corresponding model transmission method is supported. For example, when the bit string is set to a specific value (for example, 000), it indicates that no model transmission method is supported. When the bit string is set to 001, it indicates that the control plane-based model transmission is supported, and so on. Examples are not given one by one here, but the embodiments of the present application are not limited to this.

[0134] In some embodiments, the fourth message may also include cell information under the second network device. And / or, if the second network device is a CU, the fourth message may also include identification information of the DU under the second network device. The cell information includes at least one of the following information: cell global identifier (CGI), physical cell identifier (PCI) and frequency information, cell identifier (cell ID), non-public network identifier (NPN ID), non-terrestrial network identifier (NTN ID) or at least one of other cell identifiers. CGI may include a public land mobile network (PLMN ID) and a cell ID. Optionally, the cell information may also include a tracking area code (TAC) and / or identification information of the network device to which the cell belongs, such as a global network device identifier. The identification information of the DU may be a DU ID, and / or a DU name.

[0135] In some embodiments, the AI ​​capability information may be at a cell level, a DU level, or a network device level, wherein the AI ​​capability information related to the second network device indicates the AI ​​capability information of the cell under the second network device, or the AI ​​capability information of the DU under the second network device, or the AI ​​capability information of the second network device.

[0136] For example, when the fourth message includes AI capability information and cell information (cell ID 1) related to the second network device, it indicates that the AI ​​capability information is at the cell level, and the AI ​​capability information is used to indicate the AI ​​capability information of cell ID 1 under the second network device (indicating whether the current cell ID 1 supports...); when the fourth message includes AI capability information related to the second network device and DU identification information (DU ID1), it indicates that the AI ​​capability information is at the DU level, and the AI ​​capability information is used to indicate the AI ​​capability information of DU ID1 under the second network device (indicating whether the current DU ID1 supports...); when the fourth message includes AI capability information related to the second network device and the identification information of the network device, it indicates that the AI ​​capability information is at the network device level, and the AI ​​capability information is used to indicate the AI ​​capability information of the second network device (indicating whether the current network device (first network device) supports...).

[0137] In some embodiments, the fourth message may be a handover command message or a handover failure message, but the embodiments of the present application are not limited thereto. Optionally, when the fourth message is a handover failure message, the fourth message also includes handover failure cause information, which is used to indicate the reason why the second network device failed to successfully complete the handover. The handover failure cause information includes at least one configuration of the currently activated AI configuration information is not supported, or the target cell does not support AI, or the target cell AI resources are insufficient, and the target cell belongs to the second network device.

[0138] The following describes how the core network device obtains AI capability information related to the second network device.

[0139] In some embodiments, optionally, the method may further include:

[0140] 603. The core network device receives a third message sent by the second network device, where the third message includes AI capability information related to the second network device.

[0141] In some embodiments, the third message may further include cell information of the second network device and / or identification information of a DU of the second network device. The core network device may generate a fourth message based on the third message. The meanings of the AI ​​capability information, cell information, and DU identification information related to the second network device are as described above and are not further described here.

[0142] In some embodiments, the third message may be a handover request acknowledgement message or a handover preparation failure message. However, the embodiments of the present application are not limited thereto. Optionally, when the third message is a handover preparation failure message, the third message also includes handover failure cause information, which is used to indicate the reason why the second network device failed to successfully complete the handover. The handover failure cause information includes at least one configuration of the currently activated AI configuration information is not supported, or the target cell does not support AI, or the target cell AI resources are insufficient, and the target cell belongs to the second network device.

[0143] In some embodiments, the method may further include:

[0144] 601. The core network device receives a first message sent by the first network device, where the first message is used to request switching of the terminal device to a target cell, where the target cell belongs to the second network device; and / or, the first message is used to request AI capability information related to the second network device.

[0145] In some implementations, for example, when the first message is used to request handover of a terminal device to a target cell, in order for the target cell to perform AI configuration on the terminal device after handover, the AI ​​capability information of the terminal device may be carried in the first message. The meaning of the AI ​​capability information is as described above, with the difference that, for example, the AI ​​support information is used to indicate whether the current terminal device supports artificial intelligence. For example, the support information of at least one artificial intelligence-based feature or feature group is used to indicate whether the current terminal device supports the artificial intelligence-based feature or feature group. The support information of at least one function is used to indicate whether the current terminal device supports the function, or to indicate whether the current terminal device supports the function under a certain artificial intelligence-based feature or feature group. The support information of at least one model is used to indicate whether the current terminal device supports the model, or to indicate whether the current terminal device supports the model under a certain function under a certain artificial intelligence-based feature or feature group, or to indicate whether the current terminal device supports the model under a certain artificial intelligence-based feature or feature group. Examples are not given one by one here.

[0146] In some implementations, the first message also includes AI configuration information for indicating the currently activated AI configuration information of the terminal device. The activated AI configuration information includes at least one of the following information: activated AI / ML-based feature / feature group information, activated function information, activated model information, AI / ML-based feature / feature group information stored by the UE, function information stored by the UE, model information stored by the UE, computing power information of the UE, memory information of the UE, power information of the UE, or other information. Among them, the computing power information of the UE, the memory information of the UE, and the power information of the UE may be the above-mentioned information recently obtained, determined, or calculated by the first network device. As an example, the first message may include the following content:

[0147] In some embodiments, the first message may be a handover request (required) message, but the embodiments of the present application are not limited thereto.

[0148] In some embodiments, the method may further include:

[0149] 602. The core network device generates a second message based on the first message and sends the second message to the second network device, where the second message is used to request switching the terminal device to a target cell, which belongs to the second network device; and / or, the second message is used to request AI capability information related to the second network device.

[0150] As a possible implementation, the second message includes the AI ​​capability information of the terminal device. The meaning of the AI ​​capability information of the terminal device is as described above and will not be repeated here.

[0151] In some implementations, the second message also includes information indicating the currently activated AI configuration for the terminal device. The meaning of the currently activated AI configuration information is as described above and will not be repeated here. The description of step 602 is similar to that of step 601 and will not be repeated here.

[0152] The second message may be a handover request message, but the embodiment of the present application is not limited thereto.

[0153] The above describes the method for reporting AI capabilities from the core network device side.

[0154] An embodiment of the present application also provides an AI capability reporting method, which is described from the side of the first network device.

[0155] FIG7 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG7 , the method includes:

[0156] 702. The first network device receives a fourth message sent by the core network device, where the fourth message includes AI capability information related to the second network device.

[0157] The description of the implementation of step 702 refers to the description of step 604 and will not be repeated here.

[0158] In some embodiments, the method may further include:

[0159] 701. The first network device sends a first message to the core network device.

[0160] The description of the implementation of step 701 refers to the description of step 601 and will not be repeated here.

[0161] The implementation of the first message and the fourth message is as described above and will not be repeated here.

[0162] An embodiment of the present application also provides an AI capability reporting method, which is described from the side of the second network device.

[0163] FIG8 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG8 , the method includes:

[0164] 802. The second network device sends a third message to the core network device, where the third message includes AI capability information related to the second network device.

[0165] The description of the implementation of step 802 refers to the description of step 603 and will not be repeated here.

[0166] In some embodiments, the method may further include:

[0167] 801. The second network device receives a second message sent by the core network device.

[0168] The description of the implementation of step 801 refers to the description of step 602 and will not be repeated here.

[0169] The implementation of the second message and the third message is as described above and will not be repeated here.

[0170] FIG9 is an interaction diagram of an AI capability reporting method according to an embodiment of the present application. As shown in FIG9 , the method includes:

[0171] 901, the first network device sends a first message to the core network device;

[0172] The description of the implementation method of step 901 refers to the description of step 601 and will not be repeated here.

[0173] 902. The core network device generates a second message according to the first message, and sends the second message to the second network device.

[0174] The description of the implementation of step 902 refers to the description of step 602 and will not be repeated here.

[0175] 903. The second network device sends a third message to the core network device.

[0176] The description of the implementation of step 903 refers to the description of step 603 and will not be repeated here.

[0177] 904. The core network device generates a fourth message according to the third message, and sends the fourth message to the first network device.

[0178] The description of the implementation of step 904 refers to the description of step 604 and will not be repeated here.

[0179] The meanings of the first message, second message, third message, and fourth message are as described above and will not be repeated here. As can be seen from the above embodiment, the core network device, as a forwarding device, can forward the AI ​​capability information of the terminal device received from the first network device via the first message, and / or the currently activated AI configuration information of the terminal device, to the second network device via the second message, and forward the AI ​​capability information related to the second network device received from the second network device via the third message to the first network device via the fourth message.

[0180] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0181] According to an embodiment of the present application, there is no interface between the network device and the adjacent network device, so it is impossible to directly exchange AI capability information through the interface. The network device can obtain AI capability information related to the adjacent network device without a direct interface with the assistance of the core network device, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device that supports AI, and enabling the AI ​​function of the terminal device as much as possible.

[0182] Embodiments of the third aspect

[0183] An embodiment of the present application provides an AI capability reporting device.

[0184] Figure 10 is a schematic diagram of an AI capability reporting device according to an embodiment of the present application. The device may be, for example, a network device, or a component or components configured on the network device. Since the principle of solving the problem by the device is the same as that of the embodiment of the first or second aspect, its specific implementation can refer to the implementation of the method of the embodiment of the first or second aspect, and the same content will not be repeated. As shown in Figure 10, the device 1000 includes: a sending unit 1001 and a receiving unit 1002.

[0185] In some embodiments, the apparatus is configured in the first network device of the first aspect embodiment, and the receiving unit 1002 receives the reporting information sent by the terminal device, and the reporting information includes the AI ​​capability information of the first cell. Optionally, the sending unit 1001 also sends configuration information to the terminal device, and the receiving unit 1002 also sends the first UE capability information to the first network device. The apparatus may further include an acquisition unit (as shown in the figure) for acquiring the AI ​​capability information of the first cell. Or,

[0186] In some embodiments, the apparatus is configured in a core network device of the second embodiment, and the sending unit 1001 sends a fourth message to the first network device, where the fourth message includes AI capability information related to the second network device. Optionally, the sending unit 1001 also sends a second message to the second network device, and the receiving unit 1002 also receives the first message sent by the first network device, and / or receives the third message sent by the second network device. Or,

[0187] In some embodiments, the apparatus is configured in the first network device of the second aspect embodiment, and the receiving unit 1002 receives a fourth message sent by the core network device, where the fourth message includes AI capability information related to the second network device. Optionally, the sending unit 1001 also sends the first message to the core network device. Or,

[0188] In some embodiments, the apparatus is configured in the second network device of the second aspect embodiment, and the sending unit 1001 sends a third message to the core network device, where the third message includes AI capability information related to the second network device. Optionally, the receiving unit 1002 further receives the second message sent by the core network device.

[0189] In some embodiments, the device may further include (as shown in the figure): a generation unit for generating the above-mentioned various messages. For specific generation methods, please refer to the embodiment of the second aspect and will not be repeated here.

[0190] Figure 11 is a schematic diagram of an AI capability reporting device according to an embodiment of the present application. The device may be, for example, a terminal device, or a component or components configured on the terminal device. Since the principle of solving the problem by the device is the same as the method of the embodiment of the first aspect, its specific implementation can refer to the implementation of the method of the embodiment of the first aspect, and the same content will not be repeated. As shown in Figure 11, the device 1100 includes: a sending unit 1101 and a receiving unit 1102.

[0191] In some embodiments, the sending unit 1101 sends reporting information to the first network device, where the reporting information includes AI capability information of the first cell. Optionally, the sending unit 1101 may also send first UE capability information to the first network device, and the receiving unit 1102 may also receive configuration information sent by the first network device. The apparatus may further include: (not shown) an acquisition unit that acquires the AI ​​capability information of the first cell.

[0192] The above embodiments of the present application are illustrative, but the present application is not limited thereto, and appropriate modifications can be made based on the above embodiments. For example, the above embodiments can be used alone, or one or more of the above embodiments can be combined.

[0193] It is worth noting that the above description only describes the components or modules related to this application, but this application is not limited thereto. The above-mentioned device may also include other components or modules. For the specific content of these components or modules, please refer to the relevant art. In addition, the above-mentioned components or modules can be implemented by hardware facilities such as processors, memories, transmitters, and receivers; the implementation of this application is not limited to this.

[0194] According to an embodiment of the present application, a network device can obtain AI capability information related to an adjacent network device without a direct interface via a terminal device or a core network device, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device that supports AI, and enabling the AI ​​function of the terminal device as much as possible.

[0195] Embodiments of the fourth aspect

[0196] An embodiment of the present application also provides a communication system, including a network device and / or a terminal device, wherein the network device includes a first network device, a second network device and / or a core network device.

[0197] Figure 12 is a schematic diagram of a communication system in an embodiment of the present application. As shown in Figure 12, the communication system 1200 may include a first network device 1201, a second network device 1202, a terminal device 1203, and a core network device 1204.

[0198] In some embodiments, the first network device 1201, the second network device 1202, the terminal device 1203, and the core network device 1204 are configured to perform the method described in the first or second embodiment. Since the method has been described in detail in the first or second embodiment, its content is incorporated herein and is not repeated.

[0199] An embodiment of the present application also provides a terminal device.

[0200] Figure 13 is a schematic diagram of a terminal device according to an embodiment. As shown in Figure 13 , terminal device 1300 (e.g., corresponding to terminal device 202 in Figure 2 ) may include a processor 1310 and a memory 1320. Memory 1320 stores data and programs and is coupled to processor 1310. It should be noted that this diagram is exemplary; other types of structures may be used to supplement or replace this structure to implement telecommunication or other functions.

[0201] For example, the processor 1310 may be configured to execute a program to implement the method in the embodiment of the first aspect.

[0202] As shown in Figure 13 , the terminal device 1300 may further include: a communication module 1330, an input unit 1340, a display 1350, and a power supply 1360. The functions of these components are similar to those in the prior art and are not described in detail here. It is worth noting that the terminal device 1300 does not necessarily include all of the components shown in Figure 13 , and these components are not essential. Furthermore, the terminal device 1300 may also include components not shown in Figure 13 , for which reference may be made to the prior art.

[0203] An embodiment of the present application also provides a network device, which may be, for example, a base station, a CU, a DU, or a core network device, but the present application is not limited thereto and may also be other network devices.

[0204] Figure 14 is a schematic diagram of a network device according to an embodiment of the present application. As shown in Figure 14 , network device 1400 may include a processor 1401 and a memory 1402 ; the memory 1402 is coupled to the processor 1401 . The memory 1402 may store various data and may also store an information processing program 1403 , which is executed under the control of the processor 1401 .

[0205] In some embodiments, the functions of the device 1000 of the embodiment of the third aspect can be integrated into the processor 1401, wherein the processor 1401 can be configured to execute a program to implement a method as in the embodiment of the first or second aspect, the contents of which are incorporated herein and will not be repeated here.

[0206] In other embodiments, the apparatus 1000 of the embodiment of the third aspect may be configured separately from the processor 1401. For example, the apparatus 1000 of the embodiment of the third aspect may be configured as a chip connected to the processor 1401, and the functions of the apparatus 1000 of the embodiment of the third aspect may be implemented through the control of the processor 1401.

[0207] Furthermore, as shown in FIG14 , network device 1400 may further include a transceiver 1404 and an antenna 1405. The functions of these components are similar to those in the prior art and are not described in detail here. It is worth noting that network device 1400 does not necessarily include all of the components shown in FIG14 ; furthermore, network device 1400 may also include components not shown in FIG14 , for which reference may be made to the prior art.

[0208] An embodiment of the present application further provides a computer program, wherein when the program is executed in a network device, the program causes the network device to execute the method described in the first or second embodiment.

[0209] An embodiment of the present application further provides a storage medium storing a computer program, wherein the computer program enables a network device to execute the method described in the first or second embodiment.

[0210] The above network device may be a first network device, a second network device, or a core network device.

[0211] An embodiment of the present application further provides a computer program, wherein when the program is executed in a terminal device, the program causes the terminal device to execute the method described in the embodiment of the first aspect.

[0212] An embodiment of the present application further provides a storage medium storing a computer program, wherein the computer program enables a terminal device to execute the method described in the embodiment of the first aspect.

[0213] The above devices and methods of the present application can be implemented by hardware or by a combination of hardware and software. The present application relates to such a computer-readable program that, when executed by a logic component, enables the logic component to implement the devices or components described above, or enables the logic component to implement the various methods or steps described above. The present application also relates to a storage medium for storing the above program, such as a hard disk, a magnetic disk, an optical disk, a DVD, a flash memory, etc.

[0214] The method / device described in conjunction with the embodiments of the present application can be directly embodied as hardware, a software module executed by a processor, or a combination of the two. For example, one or more of the functional block diagrams shown in the figure and / or one or more combinations of functional block diagrams can correspond to various software modules of the computer program flow or to various hardware modules. These software modules can respectively correspond to the various steps shown in the figure. These hardware modules can be implemented by solidifying these software modules, for example, using a field programmable gate array (FPGA).

[0215] The software module may be located in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. A storage medium may be coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium; or the storage medium may be an integral part of the processor. The processor and the storage medium may be located in an ASIC. The software module may be stored in the memory of the mobile terminal or in a memory card that can be inserted into the mobile terminal. For example, if the device (such as a mobile terminal) uses a large-capacity MEGA-SIM card or a large-capacity flash memory device, the software module may be stored in the MEGA-SIM card or the large-capacity flash memory device.

[0216] One or more of the functional blocks and / or one or more combinations of functional blocks described in the accompanying drawings may be implemented as a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or any appropriate combination thereof for performing the functions described in this application. One or more of the functional blocks and / or one or more combinations of functional blocks described in the accompanying drawings may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in communication with a DSP, or any other such configuration.

[0217] The present application has been described above in conjunction with specific embodiments. However, those skilled in the art should understand that these descriptions are merely illustrative and are not intended to limit the scope of protection of the present application. Those skilled in the art may make various modifications and variations to the present application based on the spirit and principles of the present application, and such modifications and variations are also within the scope of the present application.

[0218] 1. A method for reporting artificial intelligence (AI) capabilities, applied to a terminal device (UE), wherein the method comprises:

[0219] The terminal device sends reporting information to the first network device, where the reporting information includes AI capability information of the first cell.

[0220] 2. A method for reporting artificial intelligence (AI) capabilities, applied to a first network device, wherein the method comprises:

[0221] The first network device receives reporting information sent by the terminal device, where the reporting information includes AI capability information of the first cell.

[0222] 3. A method for reporting artificial intelligence (AI) capabilities, applied to a core network device, comprising:

[0223] The core network device sends a fourth message to the first network device, where the fourth message includes AI capability information related to the second network device.

[0224] 4. A method for reporting artificial intelligence (AI) capabilities, applied to a first network device, wherein the method comprises:

[0225] The first network device receives a fourth message sent by the core network device, where the fourth message includes AI capability information related to the second network device.

[0226] 5. A method for reporting artificial intelligence (AI) capabilities, applied to a second network device, wherein the method comprises:

[0227] The second network device sends a third message to the core network device, where the third message includes AI capability information related to the second network device.

[0228] 6. A device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to implement the method as described in any one of Notes 1 to 4.

[0229] 7. A communication system, characterized in that the communication system includes the device described in Note 6.

Claims

1. An artificial intelligence (AI) capability reporting device, configured in a terminal device (UE), in, The device comprises: A sending unit, which sends reporting information to the first network device, where the reporting information includes AI capability information of the first cell.

2. The device according to claim 1, in, The first cell is a neighboring cell of the terminal equipment service cell.

3. The device according to claim 1, in, The AI ​​capability information includes at least one of the following information: Support information for artificial intelligence; Supporting information for at least one artificial intelligence-based feature or feature group; Support information for at least one feature; Supporting information for at least one model; AI-based features or special effects groups, as well as associated information of functions and / or models; At least one model transmits device support information.

4. The device according to claim 1, in, The reported information also includes cell information of the first cell.

5. The device according to claim 1, in, The device also includes: An acquiring unit, configured to acquire AI capability information of the first cell.

6. The device according to claim 5, in, The acquiring unit reads a system message of the first cell to acquire the AI ​​capability information of the first cell.

7. The device according to claim 1, in, The sending unit also sends first UE capability information to the first network device, where the first UE capability information is used to indicate whether the terminal device supports the ability to obtain the AI ​​capability information of the cell.

8. The device according to claim 1 or 5 or 7, in, The device also includes: A receiving unit receives configuration information sent by the first network device, where the configuration information includes first indication information for instructing the terminal device to report AI capability information of the first cell.

9. The device according to claim 8, in, The configuration information also includes cell information of the first cell and / or second indication information used to indicate AI capability information that the terminal device needs to report.

10. The device according to claim 8, in, The acquiring unit acquires the AI ​​capability information of the first cell according to the configuration information.

11. An artificial intelligence (AI) capability reporting device, configured on a first network device, in, The device comprises: A receiving unit, which receives reporting information sent by a terminal device, wherein the reporting information includes AI capability information of the first cell, or receives a fourth message sent by a core network device, wherein the fourth message includes AI capability information related to the second network device.

12. An artificial intelligence (AI) capability reporting device, configured in a core network device, in, The device comprises: A sending unit is configured to send a fourth message to the first network device, where the fourth message includes AI capability information related to the second network device.

13. The device according to claim 12, in, The AI ​​capability information includes at least one of the following information: Support information for artificial intelligence; Supporting information for at least one artificial intelligence-based feature or feature group; Support information for at least one feature; Supporting information for at least one model; AI-based features or special effects groups, as well as associated information of functions and / or models; At least one model transmits device support information.

14. The device according to claim 12, in, The fourth message also includes identification information of the second network device, and / or cell information of the second network device, and / or identification information of the DU of the second network device.

15. The device according to claim 12, in, The fourth message includes a switching command message or a switching failure message, wherein, when the fourth message is a switching failure message, the fourth message also includes switching failure cause information, the switching failure cause information includes that at least one configuration of the currently activated AI configuration information is not supported, or the target cell does not support AI, or the target cell AI resources are insufficient, and the target cell belongs to the second network device.

16. The device according to claim 12, in, The device also includes: A receiving unit, which receives a third message sent by the second network device, wherein the third message includes AI capability information related to the second network device; and / or receives a first message sent by the first network device, wherein the first message includes AI capability information of the terminal device.

17. The apparatus according to claim 16, wherein the third message comprises cell information of the second network device and / or identification information of the DU of the second network device.

18. The device according to claim 17, in, The first message also includes AI configuration information for indicating the currently activated AI of the terminal device.

19. The device according to claim 12, in, The sending unit further sends a second message to the second network device, where the second message includes AI capability information of the terminal device and / or AI configuration information currently activated by the terminal device.

20. The device according to claim 16 or 19, in, The third message includes a handover request confirmation message or a handover preparation failure message, wherein, when the third message is a handover preparation failure message, the third message also includes handover failure cause information, and the handover failure cause information includes that at least one configuration of the currently activated AI configuration information is not supported, or the target cell does not support AI, or the target cell AI resources are insufficient; and / or the first message includes a handover requirement (required) message; and / or the second message includes a handover request (request) message.

Images