Method, apparatus, and communication system for acquiring and sending capability information

Abstract

Embodiments of the present application provide a method, device and communication system for obtaining and sending capability information. The device for obtaining capability information is applied to a first network device, and the device comprises a first processor configured to control the first network device to perform the following operations: the first network device sends first request information, wherein the first request information is used to indicate artificial intelligence related capability information required by a terminal device; and the first network device receives the artificial intelligence related capability information required by the terminal device.

Description

Method, device and communication system for acquiring and sending capability information Technical Field

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

[0002] In the field of communication technology, the artificial intelligence / machine learning (AI / ML) topic defines multiple scenarios or sub-scenarios, such as channel state information enhancement (CSI enhancement), beam management, positioning or other scenarios. Different scenarios or sub-scenarios can correspond to one or more features / feature groups (feature / feature group, feature / FG). AI / ML is applied to the above-mentioned feature / FG, which is called AI / ML-based / enabled feature / FG. An AI / ML-based feature / feature group can correspond to one or more AI functions (functionality), and / or, one or more AI models (model). Among them, an AI function can correspond to one or more AI models.

[0003] Figure 1 is a schematic diagram of the logical relationship between features / feature groups, AI functions and AI models.

[0004] As shown in Figure 1, in some examples, a feature / feature group (e.g., AI / ML-based / enabled feature / FG) can correspond to one or more AI functionalities, such as Function 1 to Function N. Each AI function can correspond to one or more AI models, such as Function 1 corresponds to Model 1-1 to Model 1-M, and Function N corresponds to Model N-1 to Model NM.

[0005] As shown in FIG1 , functions 1 through N correspond to dashed boxes. In other examples, the features / feature groups may not correspond to functions but may instead directly correspond to models 1-1 through 1-M. In other words, in these other examples, FIG1 may not have at least one of functions 1 through N.

[0006] The life cycle management (LCM) corresponding to AI-based features / feature groups can be divided into functionality-based life cycle management (LCM) and model-ID-based life cycle management (LCM) according to the granularity of functionality or model identification (functionality / model-ID).

[0007] Lifecycle management 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. Model / functionality control may include at least one of the following AI operations: model / functionality selection, activation, deactivation, switching or changing, fallback, release, or other operations. Fallback refers to returning to a mode where AI is not applied.

[0008] 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.

[0009] Summary of the Invention

[0010] Considering the large number of AI-based features / feature groups and the large number of functions or models under each AI-based feature / feature group, AI-related capability information of terminal devices or network devices is introduced to facilitate the management of these functions or models.

[0011] The inventors of this application discovered that the prior art does not specify the specific content of the artificial intelligence-related capability information reported by the terminal device to the network device. In addition, since there is a lot of artificial intelligence-related capability information and the capability differences between the terminal device and the network device are large, if the terminal device reports all of its artificial intelligence-related capability information to the network device every time, it may lead to unnecessary reporting of capability information, thereby bringing unnecessary air interface signaling overhead.

[0012] In response to at least one of the above-mentioned problems or other similar problems, an embodiment of the present application provides a method, apparatus and communication system for obtaining and sending capability information. In this method, the terminal device sends the artificial intelligence-related capability information of the terminal device required by the network device based on the first request information of the network device. In this way, unnecessary reporting of capability information can be avoided and unnecessary signaling overhead can be reduced.

[0013] According to one aspect of an embodiment of the present application, a device for obtaining capability information is provided, which is applied to a first network device. The device includes a first processor, and the first processor controls the first network device to perform the following operations:

[0014] The first network device sends first request information, where the first request information is used to indicate the required artificial intelligence-related capability information of the terminal device; and

[0015] The first network device receives the artificial intelligence-related capability information of the required terminal device.

[0016] According to another aspect of an embodiment of the present application, there is provided an apparatus for obtaining capability information, which is applied to a second network device, wherein the apparatus includes a second processor, and the second processor controls the second network device to perform the following operations:

[0017] The second network device receives first request information sent by the first network device, where the first request information is used to indicate artificial intelligence-related capability information of the terminal device required by the first network device; and

[0018] The second network device sends the required artificial intelligence-related capability information of the terminal device to the first network device.

[0019] According to another aspect of an embodiment of the present application, a device for sending capability information is provided, which is applied to a terminal device. The device includes a third processor, and the third processor controls the terminal device to perform the following operations:

[0020] receiving first request information or second request information, where the first request information is used to indicate artificial intelligence-related capability information of the terminal device required by the first network device, and the second request information is determined based on the first request information; and

[0021] Send the required artificial intelligence-related capability information of the terminal device.

[0022] One of the beneficial effects of the embodiments of the present application is that the terminal device sends the artificial intelligence-related capability information of the terminal device required by the network device based on the first request information of the network device, thereby avoiding unnecessary reporting of capability information and reducing unnecessary signaling overhead.

[0023] 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.

[0024] 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.

[0025] 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

[0026] 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.

[0027] Figure 1 is a schematic diagram of the logical relationship between features / feature groups, AI functions, and AI models;

[0028] FIG2 is a schematic diagram of the communication system of the present application;

[0029] FIG3 is a schematic diagram of a method for acquiring capability information according to an embodiment of the first aspect of the present application;

[0030] FIG4 is a schematic diagram of a method for obtaining capability information according to Example 1;

[0031] FIG5 is a schematic diagram of a method for obtaining capability information according to a first variation of Example 1;

[0032] FIG6 is a schematic diagram of a method for obtaining capability information according to a second variation of Example 1;

[0033] FIG7 is a schematic diagram of a method for obtaining capability information according to a third variation of Example 1;

[0034] FIG8 is a schematic diagram of a method for obtaining capability information according to Example 2;

[0035] FIG9 is a schematic diagram of a method for obtaining capability information according to a first variation of Example 2;

[0036] FIG10 is a schematic diagram of a method for obtaining capability information according to a second variation of Example 2;

[0037] FIG11 is a schematic diagram of a method for obtaining capability information according to a third variation of Example 2;

[0038] FIG12 is a schematic diagram of a method for acquiring capability information according to an embodiment of the second aspect of the present application;

[0039] FIG13 is a schematic diagram of a method for sending capability information according to an embodiment of the third aspect;

[0040] FIG14 is a schematic diagram of an apparatus for acquiring capability information according to an embodiment of the fourth aspect;

[0041] FIG15 is a schematic diagram of an apparatus for acquiring capability information according to an embodiment of the fifth aspect;

[0042] FIG16 is a schematic diagram of an apparatus for sending capability information according to an embodiment of the sixth aspect;

[0043] FIG17 is a schematic diagram of a terminal device according to an embodiment of the seventh aspect;

[0044] Figure 18 is a schematic diagram of a network device of an embodiment of the seventh aspect. DETAILED DESCRIPTION

[0045] 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.

[0046] 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.

[0047] 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.

[0048] In the embodiments of the present application, the term "communication network" or "wireless communication network" may refer to a network that complies with any of the following communication standards, such as New Radio (NR), Long Term Evolution (LTE), Enhanced Long Term Evolution (LTE-A, LTE-Advanced), Wideband Code Division Multiple Access (WCDMA), High-Speed ​​Packet Access (HSPA), etc.

[0049] Furthermore, communication between devices in the communication system may be carried out according to communication protocols of any stage, for example, including but not limited to the following communication protocols: 1G (generation), 2G, 2.5G, 2.75G, 3G, 4G, 4.5G and 5G, New Radio (NR), etc., and / or other communication protocols currently known or to be developed in the future.

[0050] In the embodiments of the present application, the term "network device" refers to, for example, a device in a communication system that connects a terminal device to a communication network and provides services for the terminal device. Network devices may include, but are not limited to, the following devices: an integrated access and backhaul node (IAB-node), a base station (BS), an access point (AP), a transmission reception point (TRP), a broadcast transmitter, a mobile management entity (MME), a gateway, a server, a radio network controller (RNC), a base station controller (BSC), and the like.

[0051] Base stations may include, but are not limited to, NodeB (NB), evolved NodeB (eNodeB or eNB), and 5G base stations (gNB), among others. They may also include remote radio heads (RRHs), remote radio units (RRUs), relays, or low-power nodes (e.g., femeto, pico, etc.). The term "base station" may include some or all of their functions, and each base station may provide communication coverage for a specific geographic area. The term "cell" may refer to a base station and / or its coverage area, depending on the context in which the term is used.

[0052] In the embodiments of the present application, the term "user equipment" (UE) or "terminal equipment" (TE) refers to, for example, a device that accesses a communication network through a network device and receives network services. A terminal device can be fixed or mobile and may also be referred to as a mobile station (MS), a terminal, a subscriber station (SS), an access terminal (AT), a station, and so on.

[0053] Among them, terminal devices may include but are not limited to the following devices: cellular phones, personal digital assistants (PDAs), wireless modems, wireless communication devices, handheld devices, machine-type communication devices, laptop computers, cordless phones, smart phones, smart watches, digital cameras, etc.

[0054] For another example, in scenarios such as the Internet of Things (IoT), the terminal device can also be a machine or device for monitoring or measurement, including but not limited to: machine type communication (MTC) terminal, vehicle-mounted communication terminal, device-to-device (D2D) terminal, machine-to-machine (M2M) terminal, and so on.

[0055] In addition, the term "network side" or "network device side" refers to one side of the network, which can be a base station or one or more network devices as mentioned above. The term "user side" or "terminal side" or "terminal device side" refers to the user or terminal side, which can be a UE or one or more terminal devices as mentioned above.

[0056] In the following description, the terms "uplink control signal" and "uplink control information (UCI)" or "physical uplink control channel (PUCCH)" are interchangeable, and the terms "uplink data signal" and "uplink data information" or "physical uplink shared channel (PUSCH)" are interchangeable to avoid confusion.

[0057] The terms "downlink control signal" and "downlink control information (DCI)" or "physical downlink control channel (PDCCH)" are interchangeable, and the terms "downlink data signal" and "downlink data information" or "physical downlink shared channel (PDSCH)" are interchangeable.

[0058] In addition, sending or receiving PUSCH can be understood as sending or receiving uplink data carried by PUSCH, sending or receiving PUCCH can be understood as sending or receiving uplink information carried by PUCCH, and sending or receiving PRACH can be understood as sending or receiving preamble carried by PRACH; uplink signals can include uplink data signals and / or uplink control signals, etc., and can also be referred to as uplink transmission (UL transmission) or uplink information or uplink channels. Sending uplink transmission on uplink resources can be understood as sending the uplink transmission using the uplink resources. Similarly, downlink data / signals / channels / information can be understood accordingly.

[0059] In the embodiments of the present application, the high-layer signaling may be, for example, radio resource control (RRC) signaling; for example, an RRC message, including, for example, an MIB, system information, or a dedicated RRC message; or an RRC information element (RRC IE). The high-layer signaling may also be, for example, MAC (Medium Access Control) signaling; or a MAC control element (MAC CE). However, the present application is not limited thereto.

[0060] The following describes the scenarios of the embodiments of the present application through examples, but the present application is not limited thereto.

[0061] Figure 2 is a schematic diagram of the communication system of the present application, which schematically illustrates a situation taking a terminal device and a network device as an example. As shown in Figure 2, the communication system 100 may include at least one of a first network device 201 and a second network device 202, and a terminal device 203 (for simplicity, Figure 2 only illustrates one terminal device as an example).

[0062] In the embodiment of the present application, existing services or future services can be carried out between the first network device 201 and / or the second network device 202 and the terminal device 203. For example, these services include but are not limited to: enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra-reliable and low-latency communication (URLLC), etc.

[0063] The terminal device 203 may send data to the first network device 201 and / or the second network device 202, for example, using an authorized or unauthorized transmission mode. The first network device 201 and / or the second network device 202 may receive data sent by one or more terminal devices 203 and provide feedback to the terminal device 203, such as ACK / NACK information. The terminal device 203 may confirm the end of the transmission process, perform new data transmission, or retransmit the data based on the feedback information.

[0064] The various embodiments of the present application may be applied to scenarios including network devices and / or terminal devices, for example, the scenario of the communication system shown in FIG2 .

[0065] The first network device 201 and / or the second network device 202 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. For example, in FIG2 , the first network device 201 and / or the second network device 202 is an access network device.

[0066] 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, etc., 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. It should be noted that in this application, an entity may also be referred to as a network element or a functional entity, such as an AMF entity may also be referred to as an AMF network element or an AMF functional entity.

[0067] The third-party application entity may be an OTT service (over the top server) or other third-party device.

[0068] The access network device is an access device that the terminal 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.

[0069] A terminal device (e.g., terminal device 203 in FIG2 ) is a device with wireless transceiver capabilities that can send signals to an access network device and / or receive signals from an access network device. A terminal device may also be referred to as a terminal, a mobile station, a mobile terminal, etc. A terminal device may be a mobile phone, a 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), Internet of Things (IoT), virtual reality, augmented reality, industrial control, autonomous driving, telemedicine, or various smart scenarios.

[0070] Access network devices and terminal devices, and terminal devices and terminal devices can communicate via licensed spectrum, unlicensed spectrum, or both. The present application embodiment does not limit the spectrum resources used for wireless communications.

[0071] For ease of description, the following description uses a base station as an example of an access network device.

[0072] In the following description of this application, artificial intelligence (AI) may also be referred to as artificial intelligence / machine learning (AI / ML), and the two terms are interchangeable. For example, "AI-based features or feature groups" and "AI- or ML-based features or feature groups" have the same meaning, and their corresponding English terms may be AI / ML-based feature / FG; for example, capability information related to artificial intelligence (AL) may also be referred to as capability information related to machine learning (ML), or capability information related to artificial intelligence or machine learning (AI / ML).

[0073] In the following description of this application, "feature or feature group" can also be written as "feature / feature group", and the two are interchangeable. Their corresponding English expressions can be, for example, feature / FG.

[0074] In the following description of this application, filter and omit have the same meaning and can be interchanged.

[0075] Embodiments of the first aspect

[0076] An embodiment of the first aspect provides a method for acquiring capability information, which is applied to a first network device, such as the first network device 201 shown in FIG. 2 .

[0077] FIG3 is a schematic diagram of a method for obtaining capability information according to an embodiment of the first aspect of the present application. As shown in FIG3 , the method for obtaining capability information includes:

[0078] Operation 301: The first network device sends a first request message, where the first request message is used to indicate the required artificial intelligence-related capability information of the terminal device.

[0079] Optionally, operation 301 may further include: the first network device determining first request information. In one possible implementation, the first request information may include a filter configuration for indicating artificial intelligence-related capability information of the terminal device. Thus, the first request information can indicate artificial intelligence-related capability information of the terminal device required by the network device. The required artificial intelligence-related capability information of the terminal device may be artificial intelligence-related capability information of the terminal device required by the first network device and / or the second network device.

[0080] In another possible implementation, the first request information may include at least one of the following information 1 and information 2.

[0081] Information 1: Ignored AI-related capability information of terminal devices. The ignored AI-related capability information of terminal devices is used to indicate unnecessary AI-related capability information of terminal devices; accordingly, the terminal device does not report the ignored AI-related capability information of the terminal device, and / or reports the AI-related capability information of the terminal device other than the ignored AI-related capability information.

[0082] Information 2: Artificial intelligence capability information of the terminal device. The artificial intelligence capability information of the terminal device is used to indicate the artificial intelligence capability information of the terminal device required; accordingly, the terminal device reports the artificial intelligence capability information.

[0083] AI-related capability information may include at least one of the following:

[0084] 1. Artificial intelligence information. For example, the artificial intelligence information may be identification information or type information of the artificial intelligence, which is used to indicate support information of the artificial intelligence.

[0085] 2. Artificial intelligence-based feature or feature group information: For example, the artificial intelligence-based feature or feature group information may be identification information of the feature or feature group, or index information of the feature or feature group.

[0086] 3. Function information: For example, the function information may be identification information of the function, or index information of the function.

[0087] 4. Model information: For example, the model information may be global identification information of the model, local identification information of the model, or index information of the model.

[0088] 5. Association information between AI-based features or special effects groups, functions, and / or models. For example, this association information may indicate the association between a feature or feature group and a function; and / or the association information may indicate the association between a feature or feature group and a model; and / or the association information may indicate the association between a feature or feature group, a function, and a model.

[0089] 6. Internal resource information of the terminal device. For example, the internal resource information may include storage resource information, computing resource information, and / or power information.

[0090] 7. Terminal device manufacturer information, for example, information about the manufacturer that produced the terminal device.

[0091] 8. Network device manufacturer information: For example, information about the manufacturer that produced the network device (for example, the first network device).

[0092] 9. Chip device manufacturer information: For example, information about the manufacturer of at least one chip in the terminal device.

[0093] 10. Configuration information of network devices. The configuration information of the network device is used to indicate the configuration information of the network devices supported by the terminal device, and / or the configuration information of the network devices applicable to the functions or models supported by the terminal device. For example, the configuration information of the network device may include at least one of the following information: antenna configuration of the network device (such as tilt information under the antenna, number of antennas, configuration information of analog antennas, digital antennas, physical antennas, etc.), beam configuration of the network device (such as beam width information, number of beams, beam scanning information and other configuration information), coverage configuration of the network device (such as frequency information, coverage range information, indoor, outdoor and other configuration information), status information of the network device (such as whether network energy saving is enabled for capacity stations and coverage stations, network energy saving configuration information, etc.), and other configuration information.

[0094] 11. Terminal device configuration information. The terminal network device configuration information is used to indicate the terminal device configuration information supported by the terminal device or the terminal device's current configuration information, and / or the terminal device configuration information applicable to the terminal device's supported functions or models. For example, the terminal device configuration information may include at least one of the following information: terminal device speed information, terminal device computing speed information, a channel model between the terminal device and the network device (e.g., a line of sight (LOS) model or a non-line of sight (NLOS) model), and other configuration information.

[0095] 12. Function or model operation information. For example, the function or model operation information includes at least one of the following information: reasoning input information, reasoning output information, reasoning accuracy information, reasoning credibility information, and other information.

[0096] In operation 301 of the present application: the first network device may send the first request information to the terminal device (e.g., the terminal device 203 in FIG. 2 ); or, the first network device may send the first request information to the second network device (e.g., the second network device 202 in FIG. 2 ), and the second network device may send the first request information to the terminal device (e.g., the terminal device 203 in FIG. 2 ).

[0097] In one possible implementation, the first network device or the second network device may send the first request information to the terminal device through a radio resource control (RRC) message, a media access control-control element (MAC-CE), downlink control information (DCI), a system message (SI) or other messages.

[0098] Operation 302: The first network device receives required artificial intelligence-related capability information of a terminal device.

[0099] Through operation 301, the terminal device receives the first request information. Correspondingly, the terminal device determines the required artificial intelligence-related capability information of the terminal device based on the first request information.

[0100] In one possible implementation, the terminal device may send the required artificial intelligence capability information of the terminal device to the first network device and / or the second network device. In another possible implementation, the terminal device may send the required artificial intelligence capability information of the terminal device to the second network device, and the second network device may send the required artificial intelligence capability information of the terminal device to the first network device.

[0101] For example, the terminal device may send the required artificial intelligence-related capability information of the terminal device to the first network device and / or the second network device via a radio resource control (RRC) message, a media access control-control element (MAC-CE), uplink control information (UCI), a system message (SI) or other messages.

[0102] It can be understood that the granularity of the artificial intelligence-related capability information of the terminal device that is ignored / carried by the first request information is larger than the granularity of the artificial intelligence-related capability information determined by the terminal device based on the first request information.

[0103] Optionally, as shown in FIG3 , the embodiment of the present application further includes:

[0104] Operation 300: The first network device obtains first capability information related to artificial intelligence of the terminal device.

[0105] The first capability information of the terminal device is used to indicate the artificial intelligence-related capability information supported by the terminal device. The description of the artificial intelligence-related capability information can refer to the description in step 301 and will not be repeated here.

[0106] It can be understood that the first network device can receive the above-mentioned first capability information sent by at least one device among the terminal device, the core network device, and other network devices.

[0107] Correspondingly, in operation 301, the first network device may determine the first request information based on the first capability information related to artificial intelligence of the terminal device.

[0108] As a possible implementation manner, the first capability information includes the information shown in the following Table 1.1.

[0109] Table 1.1

[0110] According to the first capability information in Table 1.1, the first network device determines first request information. Possible first request information includes the information shown in the following Table 1.2.

[0111] Table 1.2

[0112] Based on the first request information, the terminal device determines to ignore the AI-related capability information corresponding to feature or feature group 1 (feature / FG1) and report the AI-related capability information corresponding to feature or feature group 2 (feature / FG2). Therefore, based on the first request information, the terminal device transmits the AI-related capability information corresponding to feature or feature group 2 as the AI-related capability information of the requested terminal device.

[0113] As a possible example, the artificial intelligence-related capability information of the terminal device reported by the terminal device according to the first request information may include the information shown in the following Table 1.3:

[0114] Table 1.3

[0115] As a possible implementation manner, the first capability information includes the information shown in the following Table 2.1.

[0116] Table 2.1

[0117] According to the first capability information in Table 2.1, the first network device determines first request information. Possible first request information includes the information shown in the following Table 2.2.

[0118] Table 2.2

[0119] Based on the first request information, the terminal device determines that: it needs to ignore the artificial intelligence-related capability information corresponding to feature or feature group 2; it needs to ignore the artificial intelligence-related capability information corresponding to function 1 (functionality 1) under feature or feature group 1 (feature / FG1); and it needs to report the artificial intelligence-related capability information corresponding to function 2 (functionality 2) under feature or feature group 1 (feature / FG1). Therefore, based on the first request information, the terminal device sends the artificial intelligence-related capability information corresponding to function 2 (functionality 2) under feature or feature group 1 (feature / FG1) as the required artificial intelligence-related capability information of the terminal device.

[0120] As a possible example, the artificial intelligence-related capability information of the terminal device reported by the terminal device according to the first request information may include the information shown in Table 2.3 below.

[0121] Table 2.3

[0122] According to the examples in Tables 1.1 to 1.3 and Tables 2.1 to 2.3 above, it can be seen that the artificial intelligence-related capability information of the terminal device indicated in the first request information is determined based on the first artificial intelligence-related capability information of the terminal device. It can also be seen that the granularity of the artificial intelligence-related capability information of the terminal device indicated in the first request information is larger than the granularity of the artificial intelligence-related capability information reported by the terminal device. Therefore, through the embodiments of the present application, the terminal device can only report the artificial intelligence-related capability information of the terminal device required by the network device, thereby reducing unnecessary signaling overhead.

[0123] In the present application, the first network device and the second network device may be the same or different. Among them, when the first network device and the second network device are different: one possible implementation method is that the first network device is a centralized unit (central unit, CU), and the second network device may be a distributed unit (distributed unit, DU) under the centralized unit, and the distributed unit is the distributed unit to which the current service cell of the terminal device belongs; another possible implementation method is that the first network device is a distributed unit, that is, the distributed unit to which the current service cell of the terminal device belongs, and the second network device may be a centralized unit to which the distributed unit belongs. The above implementation methods are only examples, and the present application is not limited to the above implementation methods.

[0124] The following describes the method for obtaining capability information of the present application in combination with specific embodiments.

[0125] Example 1

[0126] In embodiment 1: the first network device is, for example, a distributed unit (DU), that is, the first network device may be a distributed unit to which the current service cell of the terminal device belongs; the second network device is, for example, a centralized unit (CU), and the second network device may be a centralized unit to which the distributed unit belongs.

[0127] In Example 1, the first network device determines the first request information and sends the first request information to the second network device, and the second network device sends the first request information to the terminal device. Optionally, in Example 1, the first network device may also receive the first capability information of the terminal device sent by the second network device, or the second capability information determined based on the first capability information.

[0128] In addition, in Example 1, the terminal device sends the artificial intelligence-related capability information of the required terminal device to the second network device based on the first request information, and the second network device sends the artificial intelligence-related capability information of the required terminal device to the first network device.

[0129] FIG4 is a schematic diagram of a method for obtaining capability information according to Example 1. As shown in FIG4 , the method for obtaining capability information according to Example 1 may include the following operations:

[0130] Operation 41: The second network device (CU) receives first capability information of the terminal device.

[0131] The first capability information of the terminal device is used to indicate the artificial intelligence-related capability information supported by the terminal device. For a description of the artificial intelligence-related capability information, reference can be made to the description of operation 300 in FIG. 3 , which will not be repeated here. In addition, the first capability information of the terminal device can be referred to as the first UE AI capability information.

[0132] In Figure 4, the first capability information of the terminal device sent by the terminal device to the second network device is used as an example for description, and the present application is not limited to this implementation. For example, the second network device can receive the first capability information of the terminal device sent by the core network device or other access network device.

[0133] Operation 42: The second network device sends the second capability information of the terminal device to the first network device (DU).

[0134] Among them, the second capability information is used to indicate the artificial intelligence-related capability information supported by the terminal device.

[0135] The second network device may determine the second capability information of the terminal device based on the first capability information of the terminal device. The first capability information and the second capability information may be the same or different.

[0136] Operation 43: The first network device determines the first request information according to the received second capability information of the terminal device.

[0137] For a description of the first request information, reference may be made to the description of operation 301 in FIG3 , which will not be repeated here.

[0138] Operation 44: The first network device sends the first request information to the second network device.

[0139] Operation 45: The second network device sends the second request information to the terminal device.

[0140] The second network device may confirm the second request information based on the first request information. The first request information and the second request information may be the same or different.

[0141] The description of operation 45 may refer to the description of operation 301 in FIG. 3 , and will not be repeated here.

[0142] Operation 46: The terminal device sends the required artificial intelligence-related capability information of the terminal device to the second network device.

[0143] In the present application, the granularity of the capability information in the first capability information, the second capability information, the first request information, the second request information, and the artificial intelligence-related capability information of the required terminal device can be the same or different.

[0144] As an example: the first capability information or the second capability information may include at least one AI / ML-based feature or feature group (AI / ML-based feature / FG) information supported by the terminal device, as shown in Table 1.1; the first request information may be as shown in Table 1.2 above.

[0145] The terminal device may send artificial intelligence-related capability information corresponding to a feature or feature group 2 (feature / FG2) (i.e., the required artificial intelligence-related capability information of the terminal device) based on the first request information shown in Table 1.2, for example. The required artificial intelligence-related capability information of the terminal device may include functional information under the feature or feature group 2 (feature / FG2) supported by the terminal device, and / or model information. Furthermore, the required artificial intelligence-related capability information of the terminal device may also include other artificial intelligence-related capability information corresponding to the feature or feature group 2 (feature / FG2).

[0146] The description of operation 46 may refer to the description of operation 302 in FIG. 3 , and will not be repeated here.

[0147] Operation 47: The second network device sends the received artificial intelligence-related capability information of the required terminal device to the first network device.

[0148] Optionally, operation 48: the first network device sends corresponding lifecycle management (LCM) configuration information to the terminal device based on the received artificial intelligence-related capability information of the required terminal device.

[0149] First Modification of Example 1

[0150] The first variation of Example 1 differs from Example 1 in that the first request information is sent by the first network device to the terminal device.

[0151] FIG5 is a schematic diagram of a method for acquiring capability information according to a first variation of Embodiment 1. As shown in FIG5 , operation 44 a replaces operation 44 and operation 45 .

[0152] Operation 44a: The first network device sends the first request information to the terminal device.

[0153] 5 , for descriptions of Operation 41 , Operation 42 , Operation 43 , Operation 46 , Operation 47 , and Operation 48 , reference may be made to Embodiment 1.

[0154] Second Modification of Example 1

[0155] The second variant of Example 1 differs from Example 1 in that the terminal device sends the required artificial intelligence-related capability information of the terminal device to the first network device.

[0156] FIG6 is a schematic diagram of a method for acquiring capability information according to a second variation of Embodiment 1. As shown in FIG6 , operation 46 a replaces operation 46 and operation 47 .

[0157] Operation 46a: The terminal device sends the required artificial intelligence-related capability information of the terminal device to the first network device.

[0158] 6 , for descriptions of Operation 41 , Operation 42 , Operation 43 , Operation 44 , Operation 45 , and Operation 48 , reference may be made to Embodiment 1.

[0159] Third variation of Example 1

[0160] The third variant of Example 1 differs from Example 1 in that the first network device sends the first request information to the terminal device, and the terminal device sends the required artificial intelligence-related capability information of the terminal device to the first network device.

[0161] 7 is a schematic diagram of a method for acquiring capability information according to a third variation of Embodiment 1. As shown in FIG7 , operation 44 a replaces operation 44 and operation 45 , and operation 46 a replaces operation 46 and operation 47 .

[0162] Operation 44a: The first network device sends the first request information to the terminal device;

[0163] Operation 46a: The terminal device sends the required artificial intelligence-related capability information of the terminal device to the first network device.

[0164] 7 , for descriptions of Operation 41 , Operation 42 , Operation 43 , and Operation 48 , reference may be made to Embodiment 1.

[0165] Example 2

[0166] In embodiment 2: the first network device is a centralized unit (CU), and the second network device may be a distributed unit (DU) under the centralized unit, and the distributed unit is the distributed unit to which the current service cell of the terminal device belongs.

[0167] In embodiment 2, the first network device determines the first request information and sends the first request information to the terminal device.

[0168] In addition, in Example 2, the terminal device sends the artificial intelligence-related capability information of the required terminal device to the first network device based on the first request information, and the first network device sends the artificial intelligence-related capability information of the required terminal device to the second network device.

[0169] FIG8 is a schematic diagram of a method for obtaining capability information according to Example 2. As shown in FIG8 , the method for obtaining capability information according to Example 2 may include the following operations:

[0170] Operation 81: The first network device (CU) receives first capability information of a terminal device.

[0171] For the description of operation 81 , reference may be made to the description of operation 41 in Example 1, and details will not be repeated here.

[0172] Operation 82: Optionally, the first network device receives third capability information sent by the second network device (DU).

[0173] The third capability information may be information about artificial intelligence-related capabilities supported by the second network device and / or a cell under the second network device. The third capability information may be referred to as first DU AI capability information.

[0174] Operation 83: Optionally, the first network device receives first configuration information sent by the second network device.

[0175] The first configuration information is used to indicate the artificial intelligence-related configuration information desired or required by the second network device and / or the cell under the second network device. The first configuration information can be referred to as DU-preferred AI configuration information.

[0176] In some examples, the artificial intelligence-related configuration indicated by the first configuration information may be a subset or a full set of the third capability information.

[0177] It should be noted that operation 82 and operation 83 are optional operations, that is, the method shown in FIG8 may have operation 82 and / or operation 83, or the method shown in FIG8 may not have operation 82 and operation 83.

[0178] Operation 84: The first network device determines the first request information.

[0179] In operation 84 , the first network device determines the first request information based at least on the first capability information.

[0180] For example, when the method does not include operations 82 and 83, the first network device determines the first request information according to the first capability information;

[0181] For another example, in the case where the method has operation 82, the first network device determines the first request information according to the first capability information, or determines the first request information according to the first capability information and the third capability information;

[0182] For another example, in the case where the method has operation 83, the first network device determines the first request information according to the first capability information, or determines the first request information according to the first capability information and the first configuration information;

[0183] For another example, when the method has operations 82 and 83, the first network device determines the first request information according to the first capability information, or determines the first request information according to the first capability information and one of the third capability information and the first configuration information.

[0184] For the description of the first request information, reference may be made to the description of operation 301 in FIG3 , which will not be repeated here.

[0185] Operation 85: The first network device sends the first request information to the terminal device.

[0186] For example, the first network device may send the information to the terminal device via a radio resource control (RRC) message, a system information (SI) message, or other messages.

[0187] The description of operation 85 may refer to the description of operation 301 in FIG. 3 , and will not be repeated here.

[0188] Operation 86: The terminal device sends the required artificial intelligence-related capability information of the terminal device to the first network device.

[0189] The description of operation 86 may refer to the description of operation 302 in FIG. 3 , and will not be repeated here.

[0190] Operation 87: The first network device sends the required artificial intelligence-related capability information of the terminal device to the second network device.

[0191] In embodiment 2 of the present application, the granularity of the first capability information, the third capability information, the first configuration information and the artificial intelligence-related capability information of the required terminal device may be the same or different in pairs.

[0192] As an example: the first capability information may include at least one AI / ML-based feature or feature group (AI / ML-based feature / FG) information supported by the terminal device, and the granularity may be as shown in Table 1.1 above; the granularity of the artificial intelligence-related capability information indicated by the first request information may be as shown in Table 1.2 above. The third capability information may include at least one AI / ML-based feature or feature group information supported by the second network device or the cell under the second network device, and the granularity may be as shown in Table 1.1 or 1.3 above. The first configuration information is used to indicate the artificial intelligence-related capability information required or expected by the second network device or the cell under the second network device, and the granularity may be as shown in Table 1.2 above.

[0193] The terminal device may send artificial intelligence-related capability information corresponding to a feature or feature group 2 (feature / FG2) (i.e., the required artificial intelligence-related capability information of the terminal device) based on the first request information shown in Table 1.2, for example. The required artificial intelligence-related capability information of the terminal device may include functional information under the feature or feature group 2 (feature / FG2) supported by the terminal device, and / or model information. Furthermore, the required artificial intelligence-related capability information of the terminal device may also include other artificial intelligence-related capability information corresponding to the feature or feature group 2 (feature / FG2).

[0194] Optionally, operation 88: the second network device sends corresponding lifecycle management (LCM) configuration information to the terminal device based on the artificial intelligence-related capability information of the required terminal device.

[0195] First Modification of Example 2

[0196] The first variation of Example 2 differs from Example 2 in that the first network device sends the first request information to the second network device, and the second network device sends the second request information determined based on the first request information to the terminal device.

[0197] FIG9 is a schematic diagram of a method for acquiring capability information according to a first variation of Embodiment 2. As shown in FIG9 , operation 85a and operation 85b replace operation 85.

[0198] Operation 85a: The first network device sends the first request information to the second network device;

[0199] Operation 85b: The second network device sends second request information determined based on the first request information to the terminal device.

[0200] In operation 85b, the second network device may send the second request information to the terminal device via a system message, a media access control-control element (MAC-CE), downlink control information (DCI) or other messages.

[0201] In the present application, the second request information and the first request information may be the same or different.

[0202] 9 , for descriptions of operations 81 , 82 , 83 , 84 , 86 , 87 , and 88 , reference may be made to Embodiment 2.

[0203] In operation 86 of the first variant of Example 2, the terminal device may send the required artificial intelligence-related capability information of the terminal device based on the received second request information.

[0204] Second Modification of Example 2

[0205] The second variant of Example 2 differs from Example 2 in that the terminal device sends the required artificial intelligence-related capability information of the terminal device to the second network device.

[0206] FIG10 is a schematic diagram of a method for acquiring capability information according to a second modified example of Embodiment 2. As shown in FIG10 , operation 86 a replaces operation 86 and operation 87 .

[0207] Operation 86a: The terminal device sends the required artificial intelligence-related capability information of the terminal device to the second network device. The description of operation 86a can refer to the description of operation 302 in Figure 3, and will not be repeated here.

[0208] 10 , for descriptions of operations 81 , 82 , 83 , 84 , 85 , and 88 , reference may be made to Embodiment 2.

[0209] Third variation of Example 2

[0210] The third variant of Example 2 differs from Example 2 in that the first network device sends the first request information to the second network device, the second network device sends the second request information determined based on the first request information to the terminal device, and the terminal device sends the required artificial intelligence-related capability information of the terminal device to the second network device.

[0211] 11 is a schematic diagram of a method for acquiring capability information according to a third variation of Embodiment 2. As shown in FIG11 , operations 85 a and 85 b replace operation 85 , and operations 86 and 87 are replaced by operation 86 a .

[0212] Operation 85a: The first network device sends the first request information to the second network device;

[0213] Operation 85b: The second network device sends second request information determined based on the first request information to the terminal device;

[0214] Operation 86a: The terminal device sends the required artificial intelligence-related capability information of the terminal device to the second network device.

[0215] In operation 86a, the terminal device may send the required artificial intelligence-related capability information of the terminal device based on the received second request information.

[0216] 11 , for descriptions of operations 81 , 82 , 83 , and 88 , reference may be made to Embodiment 2.

[0217] According to an embodiment of the first aspect of the present application, the terminal device sends the artificial intelligence-related capability information of the terminal device required by the network device based on the first request information of the network device, thereby avoiding unnecessary reporting of capability information and reducing unnecessary signaling overhead.

[0218] Embodiments of the second aspect

[0219] The second aspect of the embodiment provides a method for obtaining capability information, which is used to solve the same or similar technical problems as those described in the first aspect. The method is applied to a second network device, such as second network device 202 shown in Figure 2. The method corresponds to the first aspect of the embodiment. For the parts of the second aspect of the embodiment that are the same as those of the first aspect, reference can be made to the description of the first aspect of the embodiment, and will not be repeated here.

[0220] FIG12 is a schematic diagram of a method for obtaining capability information according to an embodiment of the second aspect of the present application. As shown in FIG12 , the method for obtaining capability information includes:

[0221] Operation 1201: The second network device receives first request information sent by the first network device, where the first request information is used to indicate artificial intelligence-related capability information of a terminal device required by the first network device.

[0222] Operation 1202: The second network device sends the artificial intelligence-related capability information of the required terminal device to the first network device.

[0223] For the description of the first request information and the artificial intelligence-related capability information, please refer to the relevant description of the embodiment of the first aspect.

[0224] As shown in FIG12 , the method further includes:

[0225] Operation 1203: The second network device sends the second request information to the terminal device, where the second request information is determined according to the first request information; and

[0226] Operation 1204: The second network device receives the artificial intelligence-related capability information of the required terminal device sent by the terminal device.

[0227] As shown in FIG12 , the method further includes:

[0228] Operation 1205: The second network device receives first capability information from the terminal device, where the first capability information is used to indicate artificial intelligence-related capability information supported by the terminal device.

[0229] Operation 1206: The second network device determines second capability information of the terminal device according to the first capability information; and

[0230] Operation 1207: Send the second capability information to the first network device.

[0231] Among them, the second capability information is used to indicate the artificial intelligence-related capability information supported by the terminal device.

[0232] Embodiments of the third aspect

[0233] The embodiment of the third aspect provides a method for transmitting capability information, which is applied to a terminal device, such as the terminal device 203 in FIG2 . This method corresponds to the embodiment of the first aspect. For the parts of the embodiment of the third aspect that are identical to those of the embodiment of the first aspect, reference can be made to the description of the embodiment of the first aspect, and no repetition is given here.

[0234] FIG13 is a schematic diagram of a method for sending capability information according to an embodiment of the third aspect. As shown in FIG13 , the method includes:

[0235] Operation 1301: Receive first request information or second request information, where the first request information is used to indicate artificial intelligence-related capability information of the terminal device required by the first network device, and the second request information is determined based on the first request information; and

[0236] Operation 1302: Send the required artificial intelligence-related capability information of the terminal device.

[0237] For the description of the first request information and the artificial intelligence-related capability information, please refer to the relevant description of the embodiment of the first aspect.

[0238] In at least one embodiment, the terminal device receives the second request information from the second network device or the first network device, or the terminal device receives the first request information from the first network device, and sends the required artificial intelligence-related capability information of the terminal device to the second network device.

[0239] As shown in FIG13 , the method further includes:

[0240] Operation 1303: The terminal device sends first capability information to the second network device, where the first capability information is used to indicate artificial intelligence-related capability information supported by the terminal device.

[0241] Embodiments of the fourth aspect

[0242] An embodiment of a fourth aspect of the present application provides an apparatus for acquiring capability information, which is applied to a first network device and corresponds to the embodiment of the first aspect.

[0243] FIG14 is a schematic diagram of an apparatus for acquiring capability information according to an embodiment of the fourth aspect. As shown in FIG14 , the apparatus 1400 for acquiring capability information includes: a first processor 1401 .

[0244] The first processor 1401 controls the first network device to perform the following operations:

[0245] Sending first request information, where the first request information is used to indicate the required artificial intelligence-related capability information of the terminal device; and

[0246] Receive the artificial intelligence-related capability information of the required terminal device.

[0247] For the description of the first request information and the artificial intelligence-related capability information, please refer to the relevant description of the embodiment of the first aspect.

[0248] In at least one embodiment, the first network device sends the first request information to the second network device.

[0249] In at least one embodiment, the first processor 1401 further controls the first network device to perform the following operations:

[0250] The first network device receives second capability information of the terminal device sent by the second network device, where the second capability information is used to indicate artificial intelligence-related capability information supported by the terminal device.

[0251] In at least one embodiment, the first network device determines the first request information based on the second capability information.

[0252] In at least one embodiment, the second capability information is determined by the second network device based on the first capability information of the terminal device, where the first capability information is used to indicate artificial intelligence-related capability information supported by the terminal device.

[0253] In at least one embodiment,

[0254] The first network device receives the required artificial intelligence-related capability information of the terminal device sent by the second network device.

[0255] In at least one embodiment, the first network device sends the first request information to the terminal device.

[0256] In at least one embodiment,

[0257] The first network device receives the required artificial intelligence-related capability information of the terminal device sent by the terminal device.

[0258] Embodiments of the fifth aspect

[0259] An embodiment of the fifth aspect of the present application provides an apparatus for obtaining capability information, which is applied to a second network device and corresponds to the embodiment of the second aspect.

[0260] FIG15 is a schematic diagram of an apparatus for acquiring capability information according to an embodiment of the fifth aspect. As shown in FIG15 , the apparatus 1500 for acquiring capability information includes: a second processor 1501 .

[0261] The second processor 1501 controls the second network device to perform the following operations:

[0262] The second network device receives first request information sent by the first network device, where the first request information is used to indicate artificial intelligence-related capability information of the terminal device required by the first network device; and

[0263] The second network device sends the required artificial intelligence-related capability information of the terminal device to the first network device.

[0264] For the description of the first request information and the artificial intelligence-related capability information, please refer to the relevant description of the embodiment of the first aspect.

[0265] In at least one embodiment, the second processor 1501 further controls the second network device to perform the following operations:

[0266] The second network device sends second request information to the terminal device, where the second request information is determined according to the first request information; and

[0267] The second network device receives the artificial intelligence-related capability information of the required terminal device sent by the terminal device.

[0268] In at least one embodiment, the second processor 1501 further controls the second network device to perform the following operations:

[0269] The second network device receives first capability information from the terminal device, where the first capability information is used to indicate artificial intelligence-related capability information supported by the terminal device.

[0270] In at least one embodiment, the second processor 1501 further controls the second network device to perform the following operations:

[0271] The second network device determines second capability information of the terminal device according to the first capability information; and

[0272] Sending the second capability information to the first network device.

[0273] Among them, the second capability information is used to indicate the artificial intelligence-related capability information supported by the terminal device.

[0274] Embodiments of the sixth aspect

[0275] An embodiment of the sixth aspect of the present application provides an apparatus for sending capability information, which is applied to a terminal device and corresponds to the embodiment of the third aspect.

[0276] FIG16 is a schematic diagram of an apparatus for sending capability information according to an embodiment of the sixth aspect. As shown in FIG16 , the apparatus 1600 for sending capability information includes: a third processor 1601 .

[0277] The third processor 1601 controls the terminal device to perform the following operations:

[0278] receiving first request information or second request information, where the first request information is used to indicate artificial intelligence-related capability information of the terminal device required by the first network device, and the second request information is determined based on the first request information; and

[0279] Send the required artificial intelligence-related capability information of the terminal device.

[0280] For the description of the first request information and the artificial intelligence-related capability information, please refer to the relevant description of the embodiment of the first aspect.

[0281] In at least one embodiment, the terminal device receives the second request information from a second network device, or the terminal device receives the first request information from the first network device.

[0282] In at least one embodiment, the terminal device sends the required artificial intelligence-related capability information of the terminal device to the second network device.

[0283] In at least one embodiment, the third processor 1601 further controls the terminal device to perform the following operations:

[0284] The terminal device sends first capability information to the second network device, where the first capability information is used to indicate artificial intelligence-related capability information supported by the terminal device.

[0285] Embodiments of the seventh aspect

[0286] An embodiment of the seventh aspect of the present application provides a communication system, which may include a first network device, a second network device and a terminal device.

[0287] FIG17 is a schematic diagram of a terminal device according to an embodiment of the seventh aspect. As shown in FIG17 , the terminal device 1700 (e.g., corresponding to the terminal device 203 in FIG2 ) may include a processor 1710 and a memory 1720; the memory 1720 stores data and programs and is coupled to the processor 1710. 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 functions or other functions.

[0288] For example, the processor 1710 can be configured to execute a program to implement the method in the embodiment of the third aspect.

[0289] As shown in Figure 17 , the terminal device 1700 may further include: a communication module 1730, an input unit 1740, a display 1750, and a power supply 1760. The functions of these components are similar to those in the prior art and are not described here in detail. It is worth noting that the terminal device 1700 does not necessarily include all of the components shown in Figure 17 , and these components are not essential. Furthermore, the terminal device 1700 may also include components not shown in Figure 17 , for which reference may be made to the prior art.

[0290] FIG18 is a schematic diagram of a network device according to an embodiment of the seventh aspect. The network device can implement the functions of a first network device or a second network device. As shown in FIG18 , network device 1800 (e.g., corresponding to first network device 201 or second network device 202 in FIG2 ) can include: a processor 1810 (e.g., a central processing unit (CPU)) and a memory 1820; the memory 1820 is coupled to the processor 1810. The memory 1820 can store various data and also stores an information processing program 1830, which is executed under the control of the processor 1818.

[0291] For example, the processor 1818 may be configured to execute a program to implement the method described in the embodiment of the second aspect.

[0292] Furthermore, as shown in FIG18 , network device 1800 may further include a transceiver 1840 and an antenna 1850 . The functions of these components are similar to those in the prior art and are not further described here. It is worth noting that network device 1800 does not necessarily include all of the components shown in FIG18 . Furthermore, network device 1800 may also include components not shown in FIG18 , for which reference may be made to the prior art.

[0293] An embodiment of the present application also 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 aspect and / or the second aspect.

[0294] 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 aspect and / or the second aspect.

[0295] An embodiment of the present application also 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 third aspect and / or the fourth aspect.

[0296] An embodiment of the present application also provides a storage medium storing a computer program, wherein the computer program enables a terminal device to execute the method described in the third aspect and / or the fourth aspect.

[0297] 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.

[0298] 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).

[0299] 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.

[0300] 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.

[0301] 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.

[0302] Regarding the implementation methods including the above embodiments, the following additional notes are also disclosed:

[0303] 1. A method for obtaining capability information, applied to a first network device, characterized in that the method comprises:

[0304] The first network device sends first request information, where the first request information is used to indicate the required artificial intelligence-related capability information of the terminal device; and

[0305] The first network device receives the artificial intelligence-related capability information of the required terminal device.

[0306] 2. The method as described in Note 1, wherein:

[0307] The first request information includes at least one of the following information:

[0308] Ignoring AI-related capability information of terminal devices;

[0309] The artificial intelligence-related capability information carried by the terminal device.

[0310] 3. The method as described in Note 1, wherein:

[0311] The artificial intelligence-related capability information includes at least one of the following information:

[0312] Artificial intelligence-based feature or feature group information;

[0313] Functional information;

[0314] Model information;

[0315] Internal resource information of terminal equipment;

[0316] Terminal device manufacturer information;

[0317] Network equipment manufacturer information;

[0318] Chip equipment manufacturer information;

[0319] Configuration information of the network device;

[0320] Configuration information of the terminal device;

[0321] Function or model operation information.

[0322] 4. The method as described in Note 1, wherein:

[0323] The first network device sends the first request information to the second network device.

[0324] 5. The method as described in Note 4, wherein the method further comprises:

[0325] The first network device receives second capability information of the terminal device sent by the second network device, where the second capability information is used to indicate artificial intelligence-related capability information supported by the terminal device.

[0326] 6. The method as described in Note 5, wherein:

[0327] The first network device determines the first request information according to the second capability information.

[0328] 7. The method as described in Note 5, wherein:

[0329] The second capability information is determined by the second network device based on the first capability information of the terminal device, and the first capability information is used to indicate the artificial intelligence-related capability information supported by the terminal device.

[0330] 8. The method as described in Note 4, wherein:

[0331] The first network device receives the required artificial intelligence-related capability information of the terminal device sent by the second network device.

[0332] 9. The method according to any one of Notes 1 to 3, wherein:

[0333] The first network device sends the first request information to the terminal device.

[0334] 10. The method as described in Supplementary Note 9, wherein:

[0335] The first network device receives the required artificial intelligence-related capability information of the terminal device sent by the terminal device.

Claims

1. An apparatus for obtaining capability information, applied to a first network device, characterized in that the apparatus includes a first processor, and the first processor controls the first network device to perform the following operations: the first network device sends first request information, and the first request information is used to indicate the artificial intelligence-related capability information of the required terminal device; and the first network device receives the artificial intelligence-related capability information of the required terminal device.

2. The apparatus according to claim 1, wherein the first request information includes at least one of the following information: the artificial intelligence-related capability information of the ignored terminal device; the artificial intelligence-related capability information of the carried terminal device.

3. The apparatus according to claim 1, wherein the artificial intelligence-related capability information includes at least one of the following information: the feature or feature group information based on artificial intelligence; function information; model information; the internal resource information of the terminal device; the terminal device manufacturer information; the network device manufacturer information; the chip device manufacturer information; the configuration information of the network device; the configuration information of the terminal device; the operation information of the function or model.

4. The apparatus according to claim 1, wherein the first network device sends the first request information to a second network device.

5. The apparatus according to claim 4, wherein the first processor further controls the first network device to perform the following operations: the first network device receives second capability information of the terminal device sent by the second network device, and the second capability information is used to indicate the artificial intelligence-related capability information supported by the terminal device.

6. The apparatus according to claim 5, wherein the first network device determines the first request information according to the second capability information.

7. The apparatus according to claim 5, wherein the second capability information is determined by the second network device according to the first capability information of the terminal device, and the first capability information is used to indicate the artificial intelligence-related capability information supported by the terminal device.

8. The apparatus according to claim 4, wherein the first network device receives the artificial intelligence-related capability information of the required terminal device sent by the second network device.

9. The apparatus according to claim 1, wherein the first network device sends the first request information to the terminal device.

10. The apparatus according to claim 9, wherein the first network device receives the artificial intelligence-related capability information of the required terminal device sent by the terminal device.

11. An apparatus for obtaining capability information, applied to a second network device, characterized in that the apparatus includes a second processor, and the second processor controls the second network device to perform the following operations: the second network device receives first request information sent by a first network device, and the first request information is used to indicate the artificial intelligence-related capability information of the terminal device required by the first network device; and the second network device sends the artificial intelligence-related capability information of the required terminal device to the first network device.

12. The device according to claim 11, wherein, the first request information includes at least one of the following information: the artificial intelligence related capability information of the ignored terminal device; the artificial intelligence related capability information of the carried terminal device.

13. The device according to claim 11, wherein, the artificial intelligence related capability information includes at least one of the following information: the artificial intelligence based feature or feature group information; function information; model information; the internal resource information of the terminal device; the terminal device manufacturer information; the network device manufacturer information; the chip device manufacturer information; the configuration information of the network device; the configuration information of the terminal device; the operation information of the function or model.

14. The device according to claim 11, wherein, the second processor further controls the second network device to perform the following operations: the second network device sends second request information to the terminal device, and the second request information is determined according to the first request information; and the second network device receives the artificial intelligence related capability information of the required terminal device sent by the terminal device.

15. The device according to claim 11, wherein, the second processor further controls the second network device to perform the following operations: the second network device receives first capability information from the terminal device, and the first capability information is used to indicate the artificial intelligence related capability information supported by the terminal device.

16. The device according to claim 15, wherein, the second processor further controls the second network device to perform the following operations: the second network device determines second capability information of the terminal device according to the first capability information; and sends the second capability information to the first network device, and the second capability information is used to indicate the artificial intelligence related capability information supported by the terminal device.

17. A device for sending capability information, applied to a terminal device, characterized in that, the device includes a third processor, and the third processor controls the terminal device to perform the following operations: receiving first request information or second request information, where the first request information is used to indicate the artificial intelligence related capability information of the terminal device required by the first network device, and the second request information is determined according to the first request information; and sending the artificial intelligence related capability information of the required terminal device.

18. The device according to claim 17, wherein, the terminal device receives the second request information from the second network device, or the terminal device receives the first request information from the first network device.

19. The device according to claim 18, wherein, the terminal device sends the artificial intelligence related capability information of the required terminal device to the second network device.

20. The device according to claim 18, wherein, the third processor further controls the terminal device to perform the following operations: the terminal device sends first capability information to the second network device, and the first capability information is used to indicate the artificial intelligence related capability information supported by the terminal device.

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