Artificial intelligence capability reporting method and apparatus

Abstract

The embodiments of the present application provide an artificial intelligence (AI) capability reporting method and an apparatus. The method comprises: a first network device sends first information to a second network device, wherein the first information comprises first capability information, and the first capability information is used for indicating AI capability information related to the first 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 may 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 with AI / ML-related capabilities 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 apparatus, configured on a first network device, wherein the apparatus includes:

[0009] A sending unit, which sends first information to the second network device; the first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device.

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

[0011] A receiving unit receives first information sent by a first network device, wherein the first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device.

[0012] 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 directly obtain AI capability information related to other network devices through the interface between network devices, 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.

[0013] 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.

[0014] 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.

[0015] 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

[0016] 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.

[0017] FIG1 is a logical diagram of AI functions and their corresponding AI models;

[0018] FIG2 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0019] FIG3 is a schematic diagram of a fusion architecture according to an embodiment of the present application;

[0020] FIG4 is a schematic diagram of a distributed architecture according to an embodiment of the present application;

[0021] FIG5 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0022] FIG6 is an interactive diagram of the AI ​​capability reporting method according to an embodiment of the present application;

[0023] FIG7 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0024] FIG8 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application;

[0025] FIG9 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0026] FIG10 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0027] FIG11 is a schematic diagram of an AI capability reporting method according to an embodiment of the present application;

[0028] FIG12 is a schematic diagram of an AI capability reporting device according to an embodiment of the present application;

[0029] FIG13 is a schematic diagram of a communication system according to an embodiment of the present application;

[0030] FIG14 is a schematic diagram of a network device according to an embodiment of the present application. DETAILED DESCRIPTION

[0031] 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.

[0032] 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.

[0033] 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.

[0034] In the embodiments of the present application, a scenario involving network devices and / or terminal devices is taken as an example.

[0035] 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.

[0036] 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.

[0037] The third-party application device can be an OTT service (over the top server) or other third-party device.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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.

[0044] Embodiments of the first aspect

[0045] An embodiment of the present application provides an AI capability reporting method, which is described from the perspective of a first network device.

[0046] 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:

[0047] 201: A first network device sends first information to a second network device; the first information includes first capability information, where the first capability information is used to indicate AI capability information related to the first network device.

[0048] 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.

[0049] According to the above embodiment, the network device can directly obtain AI capability information related to other network devices through the interface between network devices, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device supporting AI, and enabling the AI ​​function of the terminal device as much as possible.

[0050] In some embodiments, the AI ​​capability information includes at least one of the following: information supporting artificial intelligence (AI); information supporting at least one AI-based feature or feature group; information supporting at least one function; information supporting at least one model; information supporting an AI-based feature or special effect group, and associated information about the function and / or model; information supporting at least one model transmission method; information supporting data collection; information supporting model training; information supporting model reasoning; information supporting model monitoring; and information supporting model updates. The following describes each of the aforementioned AI capability information.

[0051] 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.

[0052] 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.

[0053] 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.

[0054] 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.

[0055] 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.

[0056] 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.

[0057] The following examples illustrate the above AI capability information:

[0058] Example 1

[0059] In Example 1, it indicates that the current network device, current cell, or current DU 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.

[0060] Example 2

[0061] 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 network device, current cell, or current DU supports function Y. Combined with this association information, it is determined that the current network device, current cell, or current DU supports function Y under the AI-based feature or feature group X. Examples are not given here one by one.

[0062] 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 network device or the current cell or the current DU 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.

[0063] For example, the support information for data collection can be used to indicate the type of data collected that the network device or cell or DU supports. The support information for model training can be used to indicate whether the network device or cell or DU supports model training, and / or, to indicate the model information that the network device or cell or DU supports training. The support information for model inference can be used to indicate whether the network device or cell or DU supports model inference, and / or, to indicate the model information that the network device or cell or DU supports inference. The support information for model monitoring can be used to indicate whether the network device or cell or DU supports model monitoring, and / or, to indicate the method information and / or configuration information of model monitoring supported by the network device or cell or DU. The support information for model update can be used to indicate whether the network device or cell or DU supports model update, and / or, to indicate the model information that the network device or cell or DU supports update, and / or, to indicate the model update method information supported by the network device or cell or DU.

[0064] In some embodiments, the first information may also include cell information under the first network device. And / or, if the first network device is a CU, the first information may also include identification information of the DU under the first 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.

[0065] In some embodiments, the first capability information may be at the cell level, the DU level, or the network device level. Accordingly, the AI ​​capability information related to the first network device may indicate the AI ​​capability information of a cell under the first network device, the AI ​​capability information of a DU under the first network device, or the AI ​​capability information of the first network device.

[0066] For example, when the first information includes the first capability information and cell information (cell ID 1), it indicates that the first capability information is at the cell level, and the first capability information is used to indicate the AI ​​capability information of cell ID 1 under the first network device (indicating whether the current cell ID 1 supports...); for another example, when the first information includes the first capability information and DU identification information (DU ID1), it indicates that the first capability information is at the DU level, and the first capability information is used to indicate the AI ​​capability information of DU ID1 under the first network device (indicating whether the current DU ID1 supports...); for another example, when the first information includes the first capability information but does not include cell information and DU identification information, it indicates that the first capability information is at the network device level, and the first capability information is used to indicate the AI ​​capability information of the first network device (indicating whether the current network device (first network device) supports...).

[0067] Currently, when 5G is deployed independently, the logical system of the gNB can adopt a separation mode of central unit (CU) and distributed unit (DU). Based on the configuration of protocol stack functions, the CU-DU logical system can be divided into two types, namely CU-DU distributed architecture (as shown in Figure 3) and CU-DU integrated architecture (as shown in Figure 4). In the architecture shown in Figure 3, the functions of the NR protocol stack can be dynamically configured and divided, with some functions implemented in the CU and the remaining functions implemented in the DU. In the architecture shown in Figure 4, the logical functions of the CU and DU are integrated in the same gNB, and the gNB implements all the functions of the protocol stack. The following describes the embodiments of the present application with respect to the architectures of Figures 3 and 4 respectively.

[0068] (1) Example 1

[0069] In this embodiment, taking Figure 3 as an example, the first network device, the second network device, the third network device, and the fourth network device involved can be a base station or a CU or other network device, and the embodiment of the present application is not limited to this. In this embodiment, the network device and the adjacent network device directly exchange their respective AI capabilities through an interface (such as an Xn interface), and / or the network device and the adjacent network device exchange the AI ​​capabilities of their respective adjacent network devices through an interface (such as an Xn interface), which is described in detail below.

[0070] FIG5 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG5 , the method includes:

[0071] 502. The first network device sends first information to the second network device. The first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device.

[0072] Regarding the implementation of the first information, please refer to 201, and the repeated parts will not be repeated.

[0073] In some embodiments, the first information may further include second capability information, which is used to indicate AI capability information related to the third network device. Optionally, the first information may further include identification information of the third network device. The identification information of the network device may be the ID of the network device or the name information of the network device, such as the global node ID, gNB-CU name, or other identification information of the network device. The implementation of the second capability information may refer to the first capability information, and the repeated parts will not be repeated. Optionally, the first information may further include cell information of the third network device, and / or, if the third network device is a CU, the first information may further include DU (distributed unit) identification information of the third network device. For example, when the first information includes the second capability information and cell information (cell ID 2), it indicates that the second capability information is at the cell level, and the second capability information is used to indicate the AI ​​capability information of cell ID 2 under the third network device (indicating whether cell ID 2 supports...); when the first information includes the second capability information and DU identification information (DU ID2), it indicates that the second capability information is at the DU level, and the second capability information is used to indicate the AI ​​capability information of DU ID2 under the third network device (indicating whether DU ID2 supports...); when the first information includes the second capability information but does not include cell information and DU identification information, it indicates that the second capability information is at the network device level, and the second capability information is used to indicate the AI ​​capability information of the third network device (indicating whether the network device (the third network device) supports...).

[0074] In some embodiments, the method may further include:

[0075] 501. The first network device receives third information sent by a third network device, where the third information includes fifth capability information, and the fifth capability information is used to indicate AI capability information related to the third network device.

[0076] In some embodiments, the first network device may generate second capability information based on the fifth capability information. The second capability information may be the same as or different from the fifth capability information. For example, the second capability information that is identical to the fifth capability information may be directly generated, or the second capability information may be obtained by deleting information from the fifth capability information. Optionally, the third information may further include cell information of the third network device and / or DU (distributed unit) identification information of the third network device. The implementation of the third information may refer to the first information and will not be repeated here.

[0077] In some embodiments, the first information or the third information is carried by at least one of the following messages: X2 setup request, X2 setup response, Xn setup request, Xn setup response, NG-RAN NODE configuration update, NG-RAN NODE configuration update acknowledge, interface establishment request between network devices, and configuration update-related messages.

[0078] In some embodiments, the method may further include:

[0079] 503. The first network device receives second information sent by the second network device, where the second information includes third capability information, where the third capability information is used to indicate AI capability information related to the second network device.

[0080] In some embodiments, the second information further includes cell information of the second network device, and / or if the second network device is a CU, the second information may further include identification information of a DU under the second network device.

[0081] In some embodiments, the second information also includes fourth capability information, which is used to indicate AI capability information related to the fourth network device. Optionally, the second information may also include identification information of the fourth network device. The identification information of the network device may be the ID of the network device or the name information of the network device, such as the global node ID, gNB-CU name, or other identification information of the network device. Optionally, the second information may also include cell information of the fourth network device, and / or if the fourth network device is a CU, the second information may also include DU (distributed unit) identification information of the fourth network device. The fourth capability information is generated based on the sixth capability information sent by the fourth network device to the second network device. The sixth capability information is carried by the fourth information sent by the fourth network device to the second network device. For details, please refer to the embodiment of the second aspect. The implementation of the second information may refer to the first information, and the repeated parts will not be repeated.

[0082] In some embodiments, the second information or the fourth information is carried by one of the following messages: X2 setup request, X2 setup response, Xn setup request, Xn setup response, NG-RAN NODE configuration update, NG-RAN NODE configuration update acknowledge, interface establishment response message between network devices, and configuration update-related messages.

[0083] FIG6 is a schematic diagram of network device information interaction in an embodiment of the present application. As shown in FIG6 , the method includes:

[0084] 601, the third network device sends third information to the first network device;

[0085] 602, the fourth network device sends fourth information to the second network device;

[0086] 603. The first network device generates first information at least according to or not according to the third information, and sends the first information to the second network device.

[0087] 604. The second network device generates second information at least according to or not according to the fourth information, and sends the second information to the first network device.

[0088] Regarding the execution order of 601 and 602, and the execution order of 603 and 604, the embodiment of the present application is not limited thereto.

[0089] (II) Example 2

[0090] In this embodiment, the CU-DU distributed architecture in Figure 4 is taken as an example. That is, the first network device and the second network device can be CU or DU, AI / MI is applied on DU, and AI capabilities can also be exchanged between the same network device or different network devices CU-DU, which is described in detail below.

[0091] 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:

[0092] 701. A first network device (DU) sends first information to a second network device (CU). The first information includes first capability information, which indicates AI capability information related to the first network device. For a description of the first information, refer to 201. Any repetitions are omitted.

[0093] The first information can be carried by F1 setup request, GNB-DU configuration update, GNB-CU configuration update acknowledge or other interface establishment request or configuration update related messages between network devices.

[0094] In some embodiments, optionally, the method may further include:

[0095] 702. The first network device (DU) receives a response message sent by the second network device (CU).

[0096] Among them, the response message can be at least one of the following messages: F1 setup response, or GNB-DU configuration update acknowledge, or interface establishment response message between network devices, or configuration update related message.

[0097] Optionally, the response message may include seventh capability information of the other network devices, where the seventh capability information is used to indicate AI capability information related to the other network devices. The description of the seventh capability information can refer to the description of the first capability information in step 201 and will not be repeated here.

[0098] Optionally, the response message may further include identification information of other network devices corresponding to the seventh capability information, and / or cell information, and / or identification information of the DU.

[0099] 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:

[0100] 800 (optional), the first network device (DU) receives a first message sent by the second network device (CU), where the first message is used to request establishment of a connection between the first network device and the second network device, or to indicate a configuration update of the second network device.

[0101] Optionally, the first message includes first indication information, where the first indication information is used to request the first network device to report AI capability information related to the first network device.

[0102] The first message may be at least one of the following messages: GNB-DU configuration update acknowledge, or an interface establishment response message between network devices, or a configuration update-related message.

[0103] 801. A first network device (DU) sends first information to a second network device (CU); the first information includes first capability information, which is used to indicate AI capability information related to the first network device. The first information can be carried by an F1 setup request, GNB-DU configuration update, GNB-CU configuration update acknowledge, or other messages related to interface establishment requests or configuration updates between network devices.

[0104] In this embodiment, as an example, after receiving the first indication information in the first message, the first network device (DU) sends its own related AI capability information to the second network device (CU) according to the first indication information.

[0105] In some embodiments, the first network device (DU) may also receive second information sent by the second network device (CU), where the second information includes seventh capability information, which is used to indicate AI capability information related to other network devices. The description of the seventh capability information can refer to the description of the first capability information in step 201 and is not repeated here. Optionally, the second information may also include identification information of other network devices corresponding to the seventh capability information, and / or cell information, and / or identification information of the DU.

[0106] The second information may be carried by an F1 setup response, or a GNB-DU configuration update acknowledge, or an interface establishment response message between network devices, or a configuration update-related message.

[0107] In some embodiments, the implementations in (1) and (2) can be implemented in combination. For example, the first network device in (1) can be divided into two parts, CU and DU. Accordingly, the CU and DU in the first network device in (1) can adopt the implementation in (2). For example, the DU under the first network device sends first information to the CU under the first network device; the first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device, etc., and / or, the DU under the first network device receives second information sent by the CU under the first network device, and the second information includes seventh capability information, and the seventh capability information is used to indicate AI capability information related to other network devices, etc. Regarding the first information, the second information or other possible examples, they will not be repeated here one by one.

[0108] 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.

[0109] According to the above embodiment, the network device can directly obtain AI capability information related to other network devices through the interface between network devices, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device supporting AI, and enabling the AI ​​function of the terminal device as much as possible.

[0110] Embodiments of the second aspect

[0111] An embodiment of the present application provides an AI capability reporting method, which is described from the perspective of a second network device. The principle of solving the problem by this method is the same as that of the embodiment of the first aspect, and the same contents will not be repeated here.

[0112] FIG9 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG9 , the method includes:

[0113] 901. A second network device receives first information sent by a first network device. The first information includes first capability information, where the first capability information is used to indicate AI capability information related to the first network device.

[0114] The description of the first information is as described in step 502 and will not be repeated here. In some embodiments, the method may further include:

[0115] 902. The second network device sends second information to the first network device. The second information includes third capability information. The third capability information is used to indicate AI capability information related to the second network device.

[0116] The description of the second information refers to the description of step 503 and will not be repeated here.

[0117] In some embodiments, optionally, the method further includes:

[0118] 903. The second network device receives fourth information sent by a fourth network device, where the fourth information includes sixth capability information, where the sixth capability information is used to indicate AI capability information related to the fourth network device.

[0119] The second network device generates the fourth capability information based on the sixth capability information. The fourth capability information may be the same as or different from the sixth capability information. The implementation of step 903 may refer to the description of step 501 and will not be repeated here.

[0120] It is understandable that 903 can be executed before 902, and the embodiment of the present application is not limited to this.

[0121] FIG10 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG10 , the method includes:

[0122] 1001. The second network device (CU) sends a first message to the first network device (DU). The first message includes first indication information. The first indication information is used to request the first network device to report AI capability information related to the first network device.

[0123] 1002. The second network device (CU) receives (DU) first information sent by the first network device, the first information including first capability information, where the first capability information is used to indicate AI capability information related to the first network device.

[0124] Optionally, the second network device (CU) may further send second information to the first network device (DU), where the second information includes seventh capability information, where the seventh capability information is used to indicate AI capability information related to other network devices. The description of the seventh capability information can refer to the description of the first capability information in step 201 and will not be repeated here. Optionally, the second information may further include identification information of the network device corresponding to the seventh capability information, and / or cell information, and / or identification information of the DU.

[0125] The second information may be carried by an F1 setup response, or a GNB-DU configuration update acknowledge, or an interface establishment response message between network devices, or a configuration update-related message.

[0126] FIG11 is a schematic diagram of a method for reporting AI capabilities according to an embodiment of the present application. As shown in FIG11 , the method includes:

[0127] 1101. The second network device (CU) receives first information sent by the first network device (DU), the first information including first capability information, where the first capability information is used to indicate AI capability information related to the first network device.

[0128] 1102. The second network device (CU) sends a response message to the first network device (DU). The response message includes an F1 setup response, or a GNB-DU configuration update acknowledge, or an interface establishment response message between network devices, or a configuration update-related message.

[0129] Optionally, the response message may also include seventh capability information of other network devices sent by the CU, where the seventh capability information is used to indicate AI capability information related to other network devices. The description of the seventh capability information can refer to the description of the first capability information in step 201 and will not be repeated here.

[0130] Optionally, the response message may also include identification information of the network device corresponding to the seventh capability information, and / or cell information, and / or identification information of the DU.

[0131] In the above embodiment, the relevant contents of the above-mentioned first information, second information, fourth information, first message, and response message are the same as those in the embodiment of the first aspect, and their contents are merged here and will not be repeated here.

[0132] 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.

[0133] According to the above embodiment, the network device can directly obtain AI capability information related to other network devices through the interface between network devices, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device supporting AI, and enabling the AI ​​function of the terminal device as much as possible.

[0134] Embodiments of the third aspect

[0135] An embodiment of the present application provides an AI capability reporting device.

[0136] Figure 12 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 one or more components or assemblies configured on the network 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 or second aspect, and the same content will not be repeated. As shown in Figure 12, the device 1200 includes: a sending unit 1201 and a receiving unit 1202.

[0137] In some embodiments, a sending unit 1201 sends first information to a second network device; the first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device. Optionally, a receiving unit 1202 receives third information sent by the third network device, where the third information includes fifth capability information, and the fifth capability information is used to indicate AI capability information related to the third network device. Optionally, the receiving unit 1202 receives second information sent by the second network device, where the second information includes third capability information, and the third capability information is used to indicate AI capability information related to the second network device. Optionally, the receiving unit 1202 receives a response message sent by the second network device or receives a first message sent by the second network device, where the first message includes first indication information, and the first indication information is used to request the first network device to report AI capability information related to the first network device.

[0138] Alternatively, in some embodiments, receiving unit 1202 receives first information sent by a first network device, the first information including first capability information, the first capability information being used to indicate AI capability information related to the first network device. Optionally, fourth information sent by a fourth network device may also be received, the fourth information including sixth capability information being used to indicate AI capability information related to the fourth network device. Optionally, sending unit 1201 may send second information to the first network device, the second information including third capability information being used to indicate AI capability information related to the second network device. Optionally, sending unit 1201 may send a response message or a first message to the first network device.

[0139] In the above embodiment, the relevant contents of the above-mentioned first information, second information, fourth information, first message, and response message are the same as those in the embodiment of the first aspect, and their contents are merged here and will not be repeated here.

[0140] In some embodiments, the device may further include (as shown in the figure): a generation unit for generating the above-mentioned various types of information. For specific generation methods, please refer to the embodiment of the first aspect and will not be repeated here.

[0141] 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.

[0142] 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.

[0143] According to the above embodiment, the network device can directly obtain AI capability information related to other network devices through the interface between network devices, thereby selecting a suitable target cell for the terminal device in the mobility of the terminal device supporting AI, and enabling the AI ​​function of the terminal device as much as possible.

[0144] Embodiments of the fourth aspect

[0145] An embodiment of the present application also provides a communication system, including a network device.

[0146] Figure 13 is a schematic diagram of a communication system according to an embodiment of the present application, which schematically illustrates a situation where multiple network devices are used as an example. As shown in Figure 13, a communication system 1300 may include a first network device 1301 and a second network device 1302.

[0147] In some embodiments, the first network device 1301 is configured to execute the method described in the embodiment of the first aspect. Since the method has been described in detail in the embodiment of the first aspect, its content is incorporated herein and will not be repeated.

[0148] In some embodiments, the second network device 1302 is configured to execute the method described in the embodiment of the second aspect. Since the method has been described in detail in the embodiment of the second aspect, its content is incorporated herein and will not be repeated.

[0149] An embodiment of the present application also provides a network device, which may be, for example, a base station, a CU, or a DU, but the present application is not limited thereto and may also be other network devices.

[0150] 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 .

[0151] In some embodiments, the functions of the apparatus of the embodiment of the third aspect may be integrated into the processor 1401, wherein the processor 1401 may 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.

[0152] In other embodiments, the apparatus of the embodiment of the third aspect may be configured separately from the processor 1401. For example, the apparatus of the embodiment of the third aspect may be configured as a chip connected to the processor 1401, and the functions of the apparatus of the embodiment of the third aspect may be implemented through the control of the processor 1401.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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).

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 1. A method for reporting artificial intelligence (AI) capabilities, applied to a first network device, wherein the method comprises:

[0162] The first network device sends first information to the second network device; the first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device.

[0163] 2. The method according to Note 1, wherein the first information also includes cell information of the first network device and / or DU (distributed unit) identification information of the first network device.

[0164] 3. The method according to Note 1, wherein the first information also includes second capability information, and the second capability information is used to indicate AI capability information related to the third network device.

[0165] 4. The method according to Note 3, wherein the first information also includes identification information of the third network device, and / or cell information of the third network device, and / or DU (distributed unit) identification information of the third network device.

[0166] 5. The method according to any one of Notes 1 to 4, wherein the method further comprises:

[0167] The first network device receives third information sent by a third network device, where the third information includes fifth capability information, and the fifth capability information is used to indicate AI capability information related to the third network device.

[0168] 6. The method according to Supplementary Note 5, wherein the method further comprises:

[0169] The first network device generates the second capability information according to the fifth capability information.

[0170] 7. The method according to any one of Notes 1 to 6, wherein the method further comprises:

[0171] The first network device receives second information sent by the second network device, where the second information includes third capability information, where the third capability information is used to indicate AI capability information related to the second network device.

[0172] 8. A method for reporting artificial intelligence (AI) capabilities, applied to a second network device, wherein the method comprises:

[0173] The second network device receives first information sent by the first network device; the first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device.

[0174] 9. 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 8.

[0175] 10. A communication system, wherein the communication system comprises the device described in Note 9.

Claims

1. An artificial intelligence (AI) capability reporting device, configured on a first network device, in, The device comprises: A sending unit, which sends first information to a second network device; the first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device.

2. The device according to claim 1, in, The first information also includes cell information of the first network device and / or DU (distributed unit) identification information of the first network device.

3. The device according to claim 1, in, The first information also includes second capability information, where the second capability information is used to indicate AI capability information related to the third network device.

4. The device according to claim 3, in, The first information also includes identification information of the third network device, and / or cell information of the third network device, and / or DU (distributed unit) identification information of the third network device.

5. The device according to claim 3, in, The device also includes: A receiving unit receives third information sent by the third network device, where the third information includes fifth capability information, and the fifth capability information is used to indicate AI capability information related to the third network device.

6. The device according to claim 5, in, The device also includes: A generating unit, configured to generate the second capability information according to the fifth capability information.

7. The device according to claim 1, in, The device also includes: A receiving unit receives second information sent by the second network device, where the second information includes third capability information, and the third capability information is used to indicate AI capability information related to the second network device.

8. The device according to claim 7, in, The second information also includes cell information of the second network device and / or DU (distributed unit) identification information of the second network device.

9. The device according to claim 7, in, The second information also includes fourth capability information, where the fourth capability information is used to indicate AI capability information related to the fourth network device.

10. The device according to claim 9, in, The second information also includes identification information of the fourth network device, and / or cell information of the fourth network device, and / or DU (distributed unit) identification information of the fourth network device.

11. The device according to claim 9, in, The fourth capability information is generated according to the sixth capability information sent by the fourth network device to the second network device.

12. The device according to claim 1, in, The device also includes: A receiving unit receives a first message sent by the second network device, where the first message includes first indication information, and the first indication information is used to request the first network device to report AI capability information related to the first network device.

13. The device according to claim 12, in, The first message is used to request to establish a connection between the first network device and the second network device, or to indicate a configuration update of the second network device.

14. 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; supporting information for at least one model transmission device; supporting information for data collection; Supporting information for model training; Supporting information for model reasoning; Supporting information for model monitoring; Supporting information for model updates.

15. The device according to claim 1, in, The AI ​​capability information corresponds to a cell, and / or corresponds to a DU, and / or corresponds to a network device.

16. An artificial intelligence (AI) capability reporting device, configured on a second network device, in, The device comprises: A receiving unit receives first information sent by a first network device; the first information includes first capability information, and the first capability information is used to indicate AI capability information related to the first network device.

17. The device according to claim 16, in, The receiving unit further receives fourth information sent by a fourth network device, where the fourth information includes sixth capability information, and the sixth capability information is used to indicate AI capability information related to the fourth network device.

18. The device according to claim 17, in, The device also includes: A generating unit, configured to generate fourth capability information according to the sixth capability information.

19. The device according to claim 16, in, The device also includes: A sending unit, which sends second information to the first network device, where the second information includes third capability information, and the third capability information is used to indicate AI capability information related to the second network device.

20. A communication system, in, The communication system comprises the apparatus according to any one of claims 1 to 19.

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