Method and apparatus for sending and receiving information

Abstract

Provided in the embodiments of the present application are a method and apparatus for sending and receiving information. The method comprises: a terminal device generating first information; and the terminal device sending the first information to a network device, wherein the first information is related to artificial intelligence / machine learning (AI / ML) in wireless communication.

Description

Method and device for sending and receiving information Technical Field

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

[0002] With the commercialization of 5G technology, especially the large-scale development of the industrial Internet industry, there are numerous use cases in the field of wireless communications that apply artificial intelligence (AI) and machine learning (ML) algorithms to achieve performance improvements, such as using AI for CSI (Channel State Information) compression feedback, beam management, and wireless positioning.

[0003] The implementation of artificial intelligence / machine learning (AI / ML) requires the terminal equipment (UE) to have AI / ML-related capabilities and conditions.

[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] In the current 3GPP protocol framework, there are some mechanisms for terminal devices to feedback their capabilities, status, conditions and preferences to network devices (such as gNB or core network).

[0007] However, the inventors found that in the existing technology, there is no feedback and communication mechanism specifically for AI / ML-related information, such as capability and condition-related information; in order to support the application of AI / ML algorithms in wireless communication networks, new signaling and mechanisms need to be added.

[0008] In response to one or more of the above problems, embodiments of the present application provide a method and apparatus for sending and receiving information.

[0009] According to a first aspect of an embodiment of the present application, a method for sending and receiving information is provided, the method comprising: a terminal device generating first information, where the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communications; and the terminal device sending the first information to a network device.

[0010] According to a second aspect of an embodiment of the present application, a method for sending and receiving information is provided, the method comprising: a first network device receives first information from a terminal device, where the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0011] According to a third aspect of an embodiment of the present application, a method for sending and receiving information is provided, the method comprising: a second network device receives first information from a terminal device, where the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0012] According to a fourth aspect of an embodiment of the present application, a device for sending and receiving information is provided, which is arranged in a terminal device, and the device includes: a generating unit for generating first information, where the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communication; and a first sending unit for sending the first information to a network device.

[0013] According to a fifth aspect of an embodiment of the present application, a device for sending and receiving information is provided, which is arranged in a first network device, and the device includes: a second receiving unit, which is used to receive first information from a terminal device, and the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communication.

[0014] According to a sixth aspect of an embodiment of the present application, a device for sending and receiving information is provided, and the device is arranged in a second network device. The device includes: a third receiving unit, which is used to receive first information from a terminal device, and the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communication.

[0015] According to the seventh aspect of the embodiment of the present application, a computer-readable program is provided, wherein when the program is executed in an information sending and receiving apparatus or a terminal device, the program enables the information sending and receiving apparatus or the terminal device to execute the information sending and receiving method described in the first aspect of the embodiment of the present application.

[0016] According to the eighth aspect of the embodiment of the present application, a computer-readable program is provided, wherein when the program is executed in an information sending and receiving device or a first network device, the program causes the information sending and receiving device or the first network device to execute the information sending and receiving method described in the second aspect of the embodiment of the present application.

[0017] According to the ninth aspect of the embodiment of the present application, a computer-readable program is provided, wherein when the program is executed in an information sending and receiving device or a second network device, the program causes the information sending and receiving device or the second network device to execute the information sending and receiving method described in the third aspect of the embodiment of the present application.

[0018] According to the tenth aspect of the embodiment of the present application, a storage medium storing a computer-readable program is provided, wherein the computer-readable program enables the information sending and receiving device or terminal equipment to execute the information sending and receiving method described in the first aspect of the embodiment of the present application.

[0019] According to the eleventh aspect of the embodiment of the present application, a storage medium storing a computer-readable program is provided, wherein the computer-readable program enables the information sending and receiving device or the first network device to execute the information sending and receiving method described in the second aspect of the embodiment of the present application.

[0020] According to the twelfth aspect of the embodiment of the present application, a storage medium storing a computer-readable program is provided, wherein the computer-readable program enables the information sending and receiving device or the second network device to execute the information sending and receiving method described in the third aspect of the embodiment of the present application.

[0021] One of the beneficial effects of the embodiments of the present application is that: the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML-related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0022] 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.

[0023] 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.

[0024] 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

[0025] 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.

[0026] FIG1 is a schematic diagram of a communication system according to an embodiment of the present application;

[0027] FIG2 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application;

[0028] FIG3 is an interaction diagram of an implementation of a method for sending and receiving information according to an embodiment of the present application;

[0029] FIG4 is an interaction diagram of another implementation of the method for sending and receiving information according to an embodiment of the present application;

[0030] FIG5 is an interaction diagram of another embodiment of the method for sending and receiving information according to an embodiment of the present application;

[0031] FIG6 is an interaction diagram of another embodiment of the method for sending and receiving information according to an embodiment of the present application;

[0032] FIG7 is another schematic diagram of the method for sending and receiving information according to an embodiment of the present application;

[0033] FIG8 is another schematic diagram of the method for sending and receiving information according to an embodiment of the present application;

[0034] FIG9 is a schematic diagram of an apparatus for sending and receiving information according to an embodiment of the present application;

[0035] FIG10 is another schematic diagram of the apparatus for sending and receiving information according to an embodiment of the present application;

[0036] FIG11 is another schematic diagram of the information sending and receiving device according to an embodiment of the present application;

[0037] FIG12 is a schematic block diagram of a system structure of a terminal device according to an embodiment of the present application;

[0038] FIG13 is a schematic block diagram of a system structure of a first network device according to an embodiment of the present application;

[0039] FIG14 is a schematic block diagram of the system structure of the second network device according to an embodiment of the present application. DETAILED DESCRIPTION

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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 Long Term Evolution (LTE), enhanced Long Term Evolution (LTE-A, LTE-Advanced), Wideband Code Division Multiple Access (WCDMA), High-Speed ​​Packet Access (HSPA), etc.

[0044] 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, 5G-Advanced, New Radio (NR), future 6G, etc., and / or other communication protocols currently known or to be developed in the future.

[0045] 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 the communication network and provides services to the terminal device. Network devices may include, but are not limited to, the following devices: base station (BS), access point (AP), transmission reception point (TRP), broadcast transmitter, mobile management entity (MME), gateway, server, radio network controller (RNC), base station controller (BSC), etc.

[0046] Base stations may include, but are not limited to, NodeBs (NBs), evolved NodeBs (eNodeBs or eNBs), and 5G base stations (gNBs), central processing units (CUs), distributed processing units (DUs), and the like. They may also include remote radio heads (RRHs), remote radio units (RRUs), relays, or low-power nodes (e.g., femetos, pico nodes, etc.). The term "base station" may include some or all of these 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.

[0047] In the embodiments of the present application, "network equipment" may also include network equipment or network elements of the core network and / or higher-layer networks. For example, the core network includes EPC (corresponding to the 4G core network) and / or 5GC (corresponding to the 5G core network);

[0048] EPC includes but is not limited to the following network elements: MME (Mobility Management Entity), SGW (Serving Gateway), PGW (PDN Gateway), PCRF (Policy and Charging Rules Function), etc.

[0049] 5GC includes but is not limited to the following network elements: AMF (The Access and Mobility Management function), LMF (Location Management Function), SMF (The Session Management function), UPF (The User plane function), PCF (The Policy Control Function), UDM (The Unified Data Management), AUSF (The Authentication Server Function), UDR (The Unified Data Repository), etc.

[0050] 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.

[0051] 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, smartphones, smart watches, digital cameras, etc.

[0052] 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.

[0053] 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 described 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 described above. Unless otherwise specified herein, "device" can refer to either network equipment or terminal equipment.

[0054] The following describes the scenarios of the embodiments of the present application through examples, but the present application is not limited thereto.

[0055] FIG1 is a schematic diagram of a communication system according to an embodiment of the present application. As shown in FIG1 , communication system 100 may include a first network device 101, a second network device 102, and a terminal device 103. For simplicity, FIG1 illustrates only one terminal device and one network device as an example, but the embodiments of the present application are not limited thereto.

[0056] In the embodiment of the present application, the first network device 101 is, for example, a base station, such as a gNB;

[0057] The second network device 102 is, for example, one or more network devices or network elements of a core network and / or a higher-layer network.

[0058] In an embodiment of the present application, in various applications in which AI / ML is used for air interfaces, for an AI / ML model deployed on the terminal device 103 side (UE side), functionality can be used to define the tasks that AI / ML needs to complete and indirectly determine the capabilities and conditions for whether the AI / ML model is supported.

[0059] For example, functionality can be considered to be defined by the lower-level concept of feature or feature group. The final operation of the AI / ML model (such as selection, activation, deactivation, switching) will be determined by the function configured on the network side. The selection of the function itself requires information exchange between the network device (such as the first network device 101 and / or the second network device 102) and the terminal device.

[0060] In the embodiment of the present application, existing services or future services can be transmitted between the first network device 101 and the terminal device 102. For example, these services may include but are not limited to: enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra-reliable and low-latency communication (URLLC), etc.

[0061] 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.

[0062] Embodiments of the first aspect

[0063] An embodiment of the present application provides a method for sending and receiving information, which is described from the perspective of a terminal device.

[0064] FIG2 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application. As shown in FIG2 , the method includes:

[0065] 201: The terminal device generates first information, where the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communication; and

[0066] 202: The terminal device sends the first information to the network device.

[0067] It is worth noting that FIG2 above is merely a schematic illustration of an embodiment of the present application, and the present application is not limited thereto. For example, the execution order of the various operations may be appropriately adjusted, and other operations may be added or some operations may be reduced. Those skilled in the art may make appropriate modifications based on the above description, and are not limited to the description of FIG2 above.

[0068] In some embodiments, the first information is capability information and / or condition information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0069] In some embodiments, the first information is capability information, that is, the first information is related to the capability of the terminal device, and the capability is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0070] For example, this capability is related to artificial intelligence / machine learning (AI / ML) in wireless communications, which means that when the terminal device has this capability, the terminal device can support all or part of the functions of wireless communication artificial intelligence / machine learning (AI / ML), and these all or part of the functions may be related to one or more of the operation, configuration, scheduling, management and performance of AI / ML.

[0071] In some embodiments, the first information is conditional information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0072] For example, this condition information related to artificial intelligence / machine learning (AI / ML) in wireless communications refers to a condition or factor that can affect the performance of artificial intelligence / machine learning (AI / ML) in wireless communications. This condition or factor can originate from the terminal device or from external environments such as the wireless channel. The occurrence of this condition typically affects the performance of the AI / ML model currently deployed on the terminal device, while maintaining the terminal's capabilities.

[0073] For example, the condition is that the moving speed of the terminal device is greater than a certain threshold value. That is, when the moving speed of the terminal device is greater than the threshold value, data is reported.

[0074] In some embodiments, the network device includes a first network device and / or a second network device. The first network device is a base station, such as a gNB; the second network device is one or more network devices or network elements of a core network and / or a higher-layer network, such as a location management function (LMF).

[0075] The following is a detailed description of different situations.

[0076] In some embodiments, the terminal device generates and sends the first information to the network device based on the second information from the network device, that is, the second information is used to instruct the terminal device to generate and send the first information to the network device. For example, the terminal device reports the first information according to the requirement of the network device.

[0077] FIG3 is an interaction diagram of an implementation of a method for sending and receiving information according to an embodiment of the present application. As shown in FIG3 , the method includes:

[0078] 301: The first network device sends second information to the terminal device;

[0079] 302: The terminal device generates first information according to the second information; and

[0080] 303: The terminal device sends the first information to the first network device.

[0081] The first information is related to the capability of the terminal device, and the capability is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0082] In some embodiments, the first network device is a base station, such as a gNB.

[0083] In some embodiments, the second information is sent by the first network device through RRC signaling or other signaling, and / or the first information is sent through RRC signaling or other signaling.

[0084] In some embodiments, the second information is used to request the terminal device to generate and send the first information to the network device. For example, for RRC, the second information is sent through query signaling.

[0085] For example, the gNB sends second information to the terminal device through UECapabilityEnquiry or other RRC signaling or other MAC CE signaling, requesting reporting of first information, where the first information is related to the capability of the terminal device, and the capability is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0086] After receiving the second information, the terminal device sends the first information via RRC signaling or other signaling, i.e., reports information related to the capabilities of the terminal device. For example, the terminal device reports the first information to the gNB via UECapabilityInformation or other RRC signaling or MAC CE signaling.

[0087] In some embodiments, the second information indicates the content of the first information, that is, the first network device indicates the content of the first information reported by the terminal device through the second information;

[0088] Alternatively, the second information does not indicate the content of the first information, but only requires the terminal device to send the first information, that is, the first network device does not indicate the content of the first information reported by the terminal device.

[0089] In some embodiments, the second information may further indicate the reporting priority of different contents in the first information, and the terminal device reports different contents in the first information respectively according to the priority. In other words, different contents in the first information have different reporting priorities.

[0090] That is, the first network device instructs the terminal device through the second information to report different contents in the first information respectively according to the priority indicated in the second information.

[0091] For example, the content of the first information includes at least first capability information and second capability information, and the second information instructs the terminal device to preferentially report one of the first capability information and the second capability information, or,

[0092] The content of the first information includes at least the first part and the second part of the first capability information, and the second information instructs the terminal device to preferentially report one of the first part and the second part.

[0093] FIG4 is an interaction diagram of another implementation of the method for sending and receiving information according to an embodiment of the present application. As shown in FIG4 , the method includes:

[0094] 401: The second network device sends second information to the terminal device;

[0095] 402: The terminal device generates first information according to the second information; and

[0096] 403: The terminal device sends the first information to the second network device.

[0097] The first information is related to the capability of the terminal device, and the capability is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0098] In some embodiments, the second network device is one or more network devices or network elements of a core network and / or a higher layer network, such as a Location Management Function (LMF).

[0099] In some embodiments, the second information is sent by the second network device through LPP signaling or signaling for a specific positioning method or other signaling. After receiving the second information, the terminal device sends the first information through LPP signaling or other signaling, that is, reports information related to the capability of the terminal device, and the capability is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0100] For example, the LMF sends the second information to the terminal device through RequestCapability or other LPP signaling, requesting to report the first information, and the terminal device reports the first information to the LMF through ProvideCapability or other LPP signaling;

[0101] For another example, LMF sends the second information through signaling for a specific positioning method. When the AI / ML model output is TDOA, LMF sends the second information through "nr-DL-TDOA-RequestCapabilities". After receiving the second information, the terminal device sends the first information through "nr-DL-TDOA-ProvideCapabilities" signaling.

[0102] In some embodiments, the second information indicates the content of the first information, that is, the second network device indicates the content of the first information reported by the terminal device through the second information;

[0103] Alternatively, the second information does not indicate the content of the first information, and only requires the terminal device to send the first information. That is, the second network device does not indicate the content of the first information reported by the terminal device.

[0104] In some embodiments, for the implementations shown in Figures 3 and 4, the first information is related to the capability of the terminal device, and the capability is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0105] In some embodiments, the first information is at least one of the following:

[0106] Terminal features or feature groups (Feature / Feature Group), which are related to artificial intelligence / machine learning (AI / ML) in wireless communications. In some embodiments, the feature represents a feature related to artificial intelligence / machine learning (AI / ML) in wireless communications, and the feature group is a combination of one or more similar features. For example, "Support for AI / ML CSI compression use case" is a feature, and "Support for AI / ML CSI use case" is a feature group.

[0107] Functionality information related to artificial intelligence / machine learning (AI / ML) in wireless communications. In some embodiments, the function is a function or sub-function defined in AI / ML lifecycle management, a functional identity (Functionality ID / Index), metadata related to the function, and / or other information. For example, "model training" is an AI / ML-related function, and model identity = N (N is a positive integer) refers to all or part of the functional information of the "model training" function; and

[0108] Other capability information, which is existing capability information related to artificial intelligence / machine learning (AI / ML).

[0109] For example, the first information may be a combination of a newly added capability and an existing capability, such as a combination of the capability to support an existing RS (such as CSI-RS) and the capability to support a certain use case as a new technology (such as AI for CSI).

[0110] For example, the first information may uniformly express the combination of existing capabilities and new capabilities using one information element or IE, or may support them separately using multiple information elements or IEs.

[0111] In some embodiments, for the implementations shown in FIG3 and FIG4 , the capability includes at least one of the following capabilities, or a combination of multiple capabilities:

[0112] Support for channel measurements required for artificial intelligence / machine learning (AI / ML) applications in wireless communications, such as layer 1 measurements (e.g., L1-RSRP), layer 3 measurements (e.g., L3-RSRP), channel impulse response (CIR), power delay profile (PDP), delay profile (DP), time-related measurements (e.g., TDOA, RSTD, TOA), angle-related measurements (e.g., AoA, DoA), LOS / NLOS indicator measurements, and other measurements of channel power, time, phase, and other physical quantities.

[0113] Support for reference signal configuration, for example, including various patterns, layers, frequencies, and bands related to reference signals such as CSI-RS, DMRS, SRS, and PRS;

[0114] Support for artificial intelligence / machine learning (AI / ML) use cases in wireless communications, such as one or more of CSI compression, CSI prediction, beam spatial prediction, beam temporal prediction, direct wireless positioning, and indirect wireless positioning use cases;

[0115] Support for artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications, such as data collection, model storage, model training, and model supervision; and

[0116] Support for generalization of artificial intelligence / machine learning (AI / ML) models in wireless communications.

[0117] In some embodiments, the capability obtained by combining multiple capabilities refers to the capability jointly determined by multiple capabilities among the above capabilities.

[0118] In some embodiments, the capability includes at least the ability to support a combination of artificial intelligence / machine learning (AI / ML) use cases in wireless communications and artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications, and the capability to support a combination of artificial intelligence / machine learning (AI / ML) use cases in wireless communications and artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications includes at least one or more of data collection, model storage, model training, and model supervision.

[0119] For example, data collection is the capability information such as data type, data accuracy, data receipt delay, etc. combined with the use case;

[0120] For example, model storage is the storage capability information combined with the use case;

[0121] For example, model training is information about training capabilities (e.g., resources, battery status) combined with use cases;

[0122] For example, model supervision is the ability to obtain truth values ​​and measure computing power information combined with use cases.

[0123] In some embodiments, the capability to support generalization of artificial intelligence / machine learning (AI / ML) models in wireless communications is the capability to support generalization of artificial intelligence / machine learning (AI / ML) models in wireless communications for specific use cases.

[0124] For example, for CSI compression, support for AI / ML model generalization includes support for different scenarios and / or support for different terminal speeds;

[0125] For example, for the beam management use case, support for AI / ML model generalization includes support for variable A and B sub-beam sets, and / or support for different beam codebooks, and / or support for different antenna dimension configurations;

[0126] For example, for wireless positioning cases, support for AI / ML model generalization includes support for scenarios, and / or support for different terminal speeds, and / or support for different cells and sites, and / or support for channels with different NLOS probabilities.

[0127] In some embodiments, the terminal device generates and sends the first information to the network device based on the third information from the network device, that is, the third information is used to instruct the terminal device to generate and send the first information to the network device. For example, the terminal device reports the first information based on the configuration of the network device.

[0128] FIG5 is an interaction diagram of another embodiment of the method for sending and receiving information according to an embodiment of the present application. As shown in FIG5 , the method includes:

[0129] 501: The first network device sends third information to the terminal device;

[0130] 502: The terminal device generates first information according to the third information; and

[0131] 503: The terminal device sends the first information to the first network device.

[0132] The first information is condition information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0133] In some embodiments, the first network device is a base station, such as a gNB.

[0134] In some embodiments, the third information is, for example, configuration information. For example, according to the configuration information, the terminal device periodically feeds back the first information, or feeds back the first information when a preset condition is met, or feeds back the first information based on a timer.

[0135] In some embodiments, the third information is sent by the first network device through RRC signaling or other signaling.

[0136] In some embodiments, after receiving the third information, the terminal device determines whether a first condition is satisfied, and when the first condition is satisfied, the terminal device generates and sends the first information to the first network device. The first information is sent by the terminal device via RRC signaling, MAC CE, UCI signaling, or other signaling.

[0137] For example, the gNB configures the terminal device through OtherConfig or other RRC signaling in RRCReconfiguration to request reporting of the first information. After receiving the relevant configuration of the gNB, the terminal device checks whether the first condition is met and performs at least one of the following actions:

[0138] When the first condition is met, the terminal device reports the first information through UEAssistanceInformation or other RRC signaling;

[0139] When the first condition is not met, the terminal device does not perform any action.

[0140] In some embodiments, the first condition is:

[0141] The terminal device has not sent the first information to the first network device after receiving the third information, or,

[0142] The terminal device has sent the first information to the first network device after receiving the third information, and the first information currently to be reported is different from the first information reported last time, and the timer related to the reporting of the first information is not running.

[0143] In some embodiments, when the first condition is met, the terminal device further sets a timer associated with reporting the first information. For example, the terminal device has not sent the first information to the first network device after receiving the third information; or the terminal device has sent the first information to the first network device after receiving the third information, and the first information currently to be reported is different from the first information reported last time, and the timer associated with reporting the first information is not running; the terminal device sets the timer associated with reporting the first information, and sends the first information to the first network device.

[0144] In some embodiments, after receiving the third information, the terminal device further determines whether the second condition is met.

[0145] When the second condition is met, the terminal device generates and sends first information to the second network device.

[0146] For example, the second condition is the same as, partially the same as, or different from the first condition.

[0147] In some embodiments, the timer is set to one or more.

[0148] In some embodiments, when multiple timers are set, each timer operates independently; or, at least two timers operate together. For example, for some information, the conditions of the first timer and the second timer must be met at the same time before it is reported.

[0149] In some embodiments, the terminal device selects different timers to perform actions based on the content of the third information. For example, corresponding to different AI / ML use cases or lifecycle management, the terminal device may select different timers to perform actions based on the configuration content of the gNB.

[0150] In some embodiments, the third information includes first configuration information, and the first configuration information requires the terminal device to report the first information, or,

[0151] The third information includes first configuration information and second configuration information. The first configuration information requires the terminal device to report the first information, and the second configuration information includes one or more of the content of the first information reported by the terminal device, the scope of the content of the first information reported by the terminal device, and the timing when the terminal device reports the first information.

[0152] For example, the second configuration information includes the content of the first information reported by the terminal device, and the terminal device reports all the content indicated by the second configuration information;

[0153] For example, the second configuration information includes the range of the content of the first information reported by the terminal device, and the terminal device reports all the content indicated by the second configuration information or selects part of the content to report;

[0154] For example, the second configuration information includes the timing of reporting the first information by the terminal device, for example, by configuring a threshold value to indicate the timing of reporting the first information, for example, reporting the first information when the moving speed of the terminal device is greater than the threshold value.

[0155] FIG6 is an interaction diagram of another embodiment of the method for sending and receiving information according to an embodiment of the present application. As shown in FIG6 , the method includes:

[0156] 601: The second network device sends third information to the terminal device;

[0157] 602: The terminal device generates first information according to the third information; and

[0158] 603: The terminal device sends the first information to the second network device.

[0159] The first information is condition information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0160] In some embodiments, the second network device is one or more network devices or network elements of a core network and / or a higher layer network, such as a Location Management Function (LMF).

[0161] In some embodiments, the third information is sent by the second network device through LPP signaling or other signaling, and / or the first information is sent through LPP signaling or other signaling.

[0162] For example, the LMF sends the third information to the terminal device through RequestAssistanceData. After receiving the third information, the terminal device sends the first information to the second network device through ProvideAssistanceData.

[0163] For the specific content of this embodiment, please refer to the embodiment shown in Figure 5, and no further details will be given here.

[0164] In some embodiments, the terminal device generates and sends the first information to the first network device according to a pre-defined rule. In other words, the first network device and the terminal device specify the reporting content or reporting conditions through an agreed manner.

[0165] For example, the content of the first information reported by the terminal device and / or the conditions for reporting the first information are specified in the protocol.

[0166] The embodiments of the above application scenarios are merely exemplary of the embodiments of the present application, but the present application is not limited thereto. Appropriate modifications may be made based on the embodiments of the above application scenarios. For example, the embodiments of the above application scenarios may be used individually, or one or more of the embodiments of the above application scenarios may be combined.

[0167] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0168] Embodiments of the second aspect

[0169] An embodiment of the present application provides a method for sending and receiving information, which is described from the side of a first network device. It corresponds to the embodiment of the first aspect, and the contents that are the same as those in the embodiment of the first aspect will not be repeated.

[0170] FIG7 is another schematic diagram of a method for sending and receiving information according to an embodiment of the present application. As shown in FIG7 , the method includes:

[0171] 701: A first network device receives first information from a terminal device, where the first information is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0172] In some embodiments, the method further comprises:

[0173] 702: The first network device sends second information to the terminal device, where the second information is used to instruct the terminal device to generate first information and send the first information to the first network device.

[0174] In some embodiments, the method further comprises:

[0175] 703: The first network device sends third information to the terminal device, where the third information is used to instruct the terminal device to generate first information and send the first information to the first network device.

[0176] In some embodiments, operations 702 and 703 are optional operations, and the method may include one or both of operations 702 and 703, or may not include operations 702 and 703. In addition, the execution order of operations 702 and 703 is not limited.

[0177] In some embodiments, the method further comprises one or more of the following operations:

[0178] 704: The first network device reconfigures a function according to the first information, or does not reconfigure a function, where the function is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0179] 705: The first network device further reports information according to the first information request;

[0180] 706: The first network device instructs model-related operations according to the first information, such as model selection, model switching, data collection, etc.

[0181] In some embodiments, operations 704-706 are optional operations, and the method may include one or more of operations 704-706, or may not include operations 704-706. In addition, the execution order of operations 704-706 is not limited.

[0182] The specific contents of each of the above operations can be referred to the description of the embodiment of the first aspect and will not be repeated here.

[0183] The above embodiments are merely exemplary of the present invention, but the present invention is not limited thereto. Appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used alone, or one or more of the above embodiments may be combined.

[0184] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0185] Embodiments of the third aspect

[0186] An embodiment of the present application provides a method for sending and receiving information, which is described from the second network device side (core network and / or higher-layer network side). It corresponds to the embodiment of the first aspect, and the content that is the same as the embodiment of the first aspect will not be repeated.

[0187] FIG8 is another schematic diagram of a method for sending and receiving information according to an embodiment of the present application. As shown in FIG8 , the method includes:

[0188] 801: A second network device receives first information from a terminal device, where the first information is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0189] In some embodiments, the method further comprises one or more of the following operations:

[0190] 802: The second network device sends second information to the terminal device, where the second information is used to instruct the terminal device to generate first information and send the first information to the second network device.

[0191] 803: The second network device sends third information to the terminal device, where the third information is used to instruct the terminal device to generate first information and send the first information to the second network device.

[0192] In some embodiments, operations 802 and 803 are optional operations, and the method may include one or both of operations 802 and 803, or may not include operations 802 and 803. In addition, the execution order of operations 802 and 803 is not limited.

[0193] In some embodiments, the method further comprises one or more of the following operations:

[0194] 804: The second network device reconfigures a function according to the first information, or does not reconfigure a function, where the function is related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0195] 805: The second network device further reports information according to the first information request;

[0196] 806: The second network device instructs model-related operations according to the first information, such as model selection, model switching, data collection, etc.

[0197] In some embodiments, operations 804-806 are optional operations, and the method may include one or more of operations 804-806, or may not include operations 804-806. In addition, the execution order of operations 804-806 is not limited.

[0198] The specific contents of each of the above operations can be referred to the description of the embodiment of the first aspect and will not be repeated here.

[0199] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0200] Embodiments of the fourth aspect

[0201] The present application provides an apparatus for sending and receiving information. The apparatus may be, for example, a terminal device, or one or more components or assemblies configured on the terminal device. The apparatus corresponds to the embodiment of the first aspect, and the contents identical to those of the embodiment of the first aspect are not repeated here.

[0202] FIG9 is a schematic diagram of an apparatus for sending and receiving information according to an embodiment of the present application. As shown in FIG9 , the apparatus for sending and receiving information 900 includes:

[0203] A generating unit 901 is configured to generate first information; and

[0204] The first sending unit 902 is configured to send the first information to the network device.

[0205] The first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0206] In some embodiments, the apparatus further comprises:

[0207] The first receiving unit 903 is configured to receive second information from the network device, where the second information is used to instruct the terminal device to generate the first information and send the first information to the network device.

[0208] In some embodiments, the second information indicates the content of the first information, or the second information does not indicate the content of the first information and only requires the terminal device to send the first information.

[0209] In some embodiments, the second information indicates a reporting priority of the content in the first information, and the terminal device reports the corresponding content in the first information according to the priority.

[0210] In some embodiments, the content of the first information includes at least first capability information and second capability information, and the second information indicates that the terminal device should preferentially report one of the first capability information and the second capability information, or,

[0211] The content of the first information includes at least the first part and the second part of the first capability information, and the second information instructs the terminal device to preferentially report one of the first part and the second part.

[0212] In some embodiments, the second information is sent via RRC signaling, LPP signaling, or other signaling, and / or the first information is sent via RRC signaling, LPP signaling, or other signaling.

[0213] In some embodiments, the first information is at least one of the following:

[0214] Terminal features or feature groups related to artificial intelligence / machine learning (AI / ML) in wireless communications;

[0215] Capability information related to artificial intelligence / machine learning (AI / ML) in wireless communications; and

[0216] Other capability information, which is existing capability information related to artificial intelligence / machine learning (AI / ML).

[0217] In some embodiments, the capability includes at least one of the following capabilities, or a combination of the following capabilities:

[0218] Support for channel measurements required for artificial intelligence / machine learning (AI / ML) applications in wireless communications;

[0219] Support for reference signal configuration;

[0220] Support for artificial intelligence / machine learning (AI / ML) use cases in wireless communications;

[0221] Support for artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications; and

[0222] Support for generalization of artificial intelligence / machine learning (AI / ML) models in wireless communications.

[0223] In some embodiments, the capability includes at least the ability to support a combination of artificial intelligence / machine learning (AI / ML) use cases in wireless communications and artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications, the capability to support a combination of artificial intelligence / machine learning (AI / ML) use cases in wireless communications and artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications including at least one or more of data collection, model storage, model training, and model supervision,

[0224] and / or,

[0225] This support capability for generalizing artificial intelligence / machine learning (AI / ML) models in wireless communications is the support capability for generalizing artificial intelligence / machine learning (AI / ML) models in wireless communications for specific use cases.

[0226] In some embodiments, the first receiving unit 903 further receives third information from the network device, where the third information is used to instruct the terminal device to generate the first information and send the first information to the network device.

[0227] In some embodiments, the third information is sent via RRC signaling or LPP signaling or other signaling, and / or the first information is sent via RRC signaling or LPP signaling or other signaling.

[0228] In some embodiments, the third information includes first configuration information, which requires the terminal device to report the first information, or the third information includes first configuration information and second configuration information, which requires the terminal device to report the first information, and the second configuration information includes one or more of the content of the first information reported by the terminal device, the scope of the content of the first information reported by the terminal device, and the timing of the terminal device reporting the first information.

[0229] In some embodiments, the apparatus further comprises: a determining unit configured to determine whether the first condition is satisfied after receiving the third information;

[0230] When the first condition is met, the terminal device generates and sends the first information to the first network device, wherein the first condition is:

[0231] The terminal device has not sent the first information to the first network device after receiving the third information, or,

[0232] The terminal device has sent the first information to the first network device after receiving the third information, and the first information currently to be reported is different from the first information reported last time, and the timer related to the reporting of the first information is not running.

[0233] In some embodiments, when the first condition is met, the terminal device further sets a timer associated with reporting the first information. For example, the terminal device has not sent the first information to the first network device after receiving the third information; or the terminal device has sent the first information to the first network device after receiving the third information, and the first information currently to be reported is different from the first information reported last time, and the timer associated with reporting the first information is not running;

[0234] The terminal device sets a timer related to the reporting of the first information, and sends the first information to the first network device or the second network device.

[0235] In some embodiments, the determining unit is further configured to determine whether the second condition is satisfied after receiving the third information.

[0236] When the second condition is met, the terminal device generates and sends the first information to the second network device.

[0237] The second condition is the same as, partially the same as, or different from the first condition.

[0238] In some embodiments, the timer is provided with one or more, wherein,

[0239] The terminal device selects different timers to perform actions according to the content of the third information, and / or,

[0240] Each of the timers operates independently; or, at least two of the timers operate together.

[0241] In some embodiments, the terminal device generates and sends the first information to the first network device according to a predetermined regulation.

[0242] It is worth noting that the above description only describes the components or modules related to the present application, but the present application is not limited thereto. The information sending and receiving device 900 may also include other components or modules. For the specific contents of these components or modules, reference may be made to the relevant art.

[0243] In addition, for the sake of simplicity, FIG9 only illustrates the connection relationship or signal direction between various components or modules. However, it should be clear to those skilled in the art that various related technologies such as bus connection can be used. 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.

[0244] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0245] Embodiments of the fifth aspect

[0246] The present application provides an apparatus for sending and receiving information. The apparatus may be, for example, a first network device, or one or more components or assemblies configured on the first network device, which corresponds to an embodiment of the second aspect. The contents common to the embodiments of the first and second aspects are not repeated here.

[0247] FIG10 is another schematic diagram of the information sending and receiving device according to an embodiment of the present application. As shown in FIG10 , the information sending and receiving device 1000 includes:

[0248] The second receiving unit 1001 is used to receive first information from a terminal device, where the first information is related to artificial intelligence / machine learning (AI / ML) in wireless communication.

[0249] In some embodiments, the apparatus further comprises:

[0250] The second sending unit 1002 is configured to send second information and / or third information to the terminal device, where the second information and / or third information is configured to instruct the terminal device to generate the first information and send the first information to the first network device.

[0251] In some embodiments, the device further reconfigures a function based on the first information, or does not reconfigure a function, the function being related to artificial intelligence / machine learning (AI / ML) in wireless communication, and / or

[0252] The device further reports information according to the first information request, and / or,

[0253] The device also instructs model-related operations according to the first information.

[0254] For the specific contents of the first information, the second information and the third information, please refer to the description in the embodiment of the first aspect, and will not be repeated here.

[0255] It is worth noting that the above description only describes the components or modules related to the present application, but the present application is not limited thereto. The information sending and receiving device 1000 may also include other components or modules. For the specific contents of these components or modules, reference may be made to the relevant art.

[0256] In addition, for the sake of simplicity, FIG10 only illustrates the connection relationship or signal direction between various components or modules. However, it should be clear to those skilled in the art that various related technologies such as bus connection can be used. 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.

[0257] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0258] Embodiments of the sixth aspect

[0259] The present application provides an apparatus for sending and receiving information. The apparatus may be, for example, a second network device, or one or more components or assemblies configured on the second network device. The apparatus corresponds to the embodiment of the third aspect, and the contents that are the same as those in the embodiments of the third aspect and the first aspect are not repeated here.

[0260] FIG11 is another schematic diagram of an apparatus for sending and receiving information according to an embodiment of the present application. As shown in FIG11 , an apparatus for sending and receiving information 1100 includes:

[0261] The third receiving unit 1101 is used to receive first information from a terminal device, where the first information is related to artificial intelligence / machine learning (AI / ML) in wireless communication.

[0262] In some embodiments, the apparatus further comprises:

[0263] The third sending unit 1102 is configured to send second information and / or third information to the terminal device, where the second information and / or third information is configured to instruct the terminal device to generate the first information and send the first information to the second network device.

[0264] For the specific contents of the first information, the second information and the third information, please refer to the description in the embodiment of the first aspect, and will not be repeated here.

[0265] In some embodiments, the device further reconfigures a function based on the first information, or does not reconfigure a function, the function being related to artificial intelligence / machine learning (AI / ML) in wireless communication, and / or

[0266] The device further reports information according to the first information request, and / or,

[0267] The device also instructs model-related operations according to the first information.

[0268] It is worth noting that the above description only describes the components or modules related to the present application, but the present application is not limited thereto. The information sending and receiving device 1100 may also include other components or modules. For the specific contents of these components or modules, reference may be made to the relevant art.

[0269] In addition, for the sake of simplicity, FIG11 only illustrates the connection relationship or signal direction between various components or modules. However, it should be clear to those skilled in the art that various related technologies such as bus connection can be used. 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.

[0270] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0271] Embodiments of the seventh aspect

[0272] An embodiment of the present application provides a terminal device, which includes the information sending and receiving device as described in the embodiment of the fifth aspect.

[0273] Figure 12 is a schematic block diagram of the system architecture of a terminal device according to an embodiment of the present application. As shown in Figure 12, terminal device 1200 may include a processor 1210 and a memory 1220; memory 1220 is coupled to processor 1210. It should be noted that this diagram is exemplary; other types of structures may be used to supplement or replace this structure to implement telecommunication or other functions.

[0274] In one embodiment, the functions of the information sending and receiving device may be integrated into the processor 1410 .

[0275] The processor 1210 is configured to: generate first information by a terminal device; and send the first information by the terminal device to a network device, where the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communication.

[0276] In another embodiment, the information sending and receiving device can be configured separately from the processor 1210. For example, the information sending and receiving device can be configured as a chip connected to the processor 1210, and the functions of the information sending and receiving device can be realized through the control of the processor 1210.

[0277] As shown in FIG12 , the terminal device 1200 may further include: a communication module 1230, an input unit 1240, a display 1250, and a power supply 1260. It is worth noting that the terminal device 1200 does not necessarily include all the components shown in FIG12 ; in addition, the terminal device 1200 may also include components not shown in FIG12 , and reference may be made to related art for details.

[0278] As shown in FIG. 12 , the processor 1210 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The processor 1210 receives inputs and controls the operations of various components of the terminal device 1200 .

[0279] Memory 1220 may be, for example, one or more of a cache, flash memory, a hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It may store various data and may also store programs for executing related information. Processor 1210 may execute the programs stored in memory 1220 to implement information storage or processing. The functions of other components are similar to those of existing devices and are not further described here. Each component of terminal device 1200 may be implemented using dedicated hardware, firmware, software, or a combination thereof without departing from the scope of the present invention.

[0280] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0281] Embodiments of the eighth aspect

[0282] An embodiment of the present application provides a network device, which includes the information sending and receiving device as described in the embodiment of the fifth aspect, and the network device is a first network device.

[0283] Figure 13 is a schematic block diagram of the system configuration of a first network device according to an embodiment of the present application. As shown in Figure 13 , first network device 1300 may include a processor 1310 and a memory 1320 ; the memory 1320 is coupled to the processor 1310 . The memory 1320 may store various data and may also store an information processing program 1330 , which is executed under the control of the processor 1310 .

[0284] In one embodiment, the functions of the information sending and receiving device may be integrated into the processor 1310 .

[0285] The processor 1310 may be configured to: receive, by a first network device, first information from a terminal device, where the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communication.

[0286] In another embodiment, the information sending and receiving device can be configured separately from the processor 1310. For example, the information sending and receiving device can be configured as a chip connected to the processor 1310, and the functions of the information sending and receiving device can be realized through the control of the processor 1310.

[0287] In addition, as shown in Figure 13, the first network device 1300 may further include: a transceiver 1340 and an antenna 1350; wherein, the functions of the above components are similar to those in the prior art and are not further described here. It is worth noting that the first network device 1300 does not necessarily include all the components shown in Figure 13; in addition, the first network device 1300 may also include components not shown in Figure 13, and reference may be made to the prior art.

[0288] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0289] Embodiments of the ninth aspect

[0290] An embodiment of the present application provides a network device, which includes the information sending and receiving device as described in the embodiment of the sixth aspect, and the network device is a second network device.

[0291] Figure 14 is a schematic block diagram of the system configuration of a second network device according to an embodiment of the present application. As shown in Figure 14 , second network device 1400 may include a processor 1410 and a memory 1420 ; the memory 1420 is coupled to the processor 1410 . The memory 1420 may store various data and may also store an information processing program 1430 , which is executed under the control of the processor 1410 .

[0292] In one embodiment, the functions of the information sending and receiving device may be integrated into the processor 1410 .

[0293] The processor 1410 may be configured to: receive, by the second network device, first information from the terminal device, where the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communication.

[0294] In another embodiment, the information sending and receiving device can be configured separately from the processor 1410. For example, the information sending and receiving device can be configured as a chip connected to the processor 1410, and the functions of the information sending and receiving device can be realized through the control of the processor 1410.

[0295] Furthermore, as shown in FIG14 , second network device 1400 may further include: a transceiver 1440 and an antenna 1450, etc.; 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 second network device 1400 does not necessarily include all of the components shown in FIG14 ; furthermore, second network device 1400 may also include components not shown in FIG14 , for which reference may be made to the prior art.

[0296] It can be seen from the above embodiments that the terminal device sends information related to artificial intelligence / machine learning (AI / ML) in wireless communication to the network device. In this way, a feedback and communication mechanism for AI / ML related information can be established between the terminal device and the network device, thereby effectively supporting the application of AI / ML algorithms in wireless communication networks.

[0297] Embodiments of the tenth aspect

[0298] An embodiment of the present application provides a communication system, comprising at least one of the network device described in the embodiment of the seventh aspect, the terminal device described in the embodiment of the eighth aspect, and the network device described in the embodiment of the ninth aspect.

[0299] For example, the structure of the communication system can be referred to FIG1 .

[0300] As shown in Figure 1, the communication system 100 includes a first network device 101, a second network device 102 and a terminal device 103. The terminal device 103 is the same as the terminal device recorded in the embodiment of the seventh aspect, the first network device 101 is the same as the network device recorded in the embodiment of the eighth aspect, and the second network device 102 is the same as the network device recorded in the embodiment of the ninth aspect. The repeated content will not be repeated again.

[0301] 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.

[0302] 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 FIG9 and / or one or more combinations of functional block diagrams can correspond to various software modules of a computer program flow or to various hardware modules. These software modules can correspond to the various steps shown in FIG2 , respectively. These hardware modules can be implemented by solidifying these software modules, for example, using a field programmable gate array (FPGA).

[0303] 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.

[0304] 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.

[0305] 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.

[0306] Regarding the implementation methods including the above embodiments, the following additional notes are also disclosed:

[0307] 1. A method for sending and receiving information, the method comprising:

[0308] The terminal device generates first information; and

[0309] The terminal device sends the first information to the network device,

[0310] The first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0311] 2. The method according to Note 1, wherein:

[0312] The first information is capability information and / or condition information related to artificial intelligence / machine learning (AI / ML) in wireless communications.

[0313] 3. The method according to Note 2, wherein:

[0314] The method further includes: the terminal device receiving second information from the first network device,

[0315] The terminal device generates the capability information based on the second information and sends it to the first network device.

[0316] 4. The method according to Note 2, wherein:

[0317] The method further includes: the terminal device receiving second information from the second network device,

[0318] The terminal device generates the capability information based on the second information and sends it to the second network device.

[0319] 5. The method according to Note 2, wherein:

[0320] The method further includes: the terminal device receiving third information from the first network device,

[0321] The terminal device generates the condition information according to the third information and sends it to the first network device.

[0322] 6. The method according to Note 2, wherein:

[0323] The method further includes: the terminal device receiving third information from the second network device,

[0324] The terminal device generates the condition information according to the third information and sends it to the second network device.

Claims

1. A device for sending and receiving information, the device being arranged in a terminal device, the device comprising: a generating unit, configured to generate first information, wherein the first information is information related to artificial intelligence / machine learning (AI / ML) in wireless communication; as well as A first sending unit is configured to send the first information to a network device.

2. The device according to claim 1, wherein: The device also includes: The first receiving unit is used to receive second information from a network device, where the second information is used to instruct the terminal device to generate the first information and send the first information to the network device.

3. The device according to claim 2, wherein: The second information indicates the content of the first information, or the second information does not indicate the content of the first information and only requires the terminal device to send the first information.

4. The device according to claim 3, wherein The second information indicates a reporting priority of the content in the first information, and the terminal device reports the corresponding content in the first information according to the priority.

5. The device according to claim 4, wherein: The content of the first information at least includes first capability information and second capability information, and the second information indicates that the terminal device preferentially reports one of the first capability information and the second capability information, or, The content of the first information includes at least the first part and the second part of the first capability information, and the second information indicates that the terminal device preferentially reports one of the first part and the second part.

6. The device according to claim 2, wherein: The second information is sent via RRC signaling, LPP signaling or other signaling, and / or, The first information is sent via RRC signaling, LPP signaling or other signaling.

7. The device according to claim 2, wherein: The first information is at least one of the following information: Terminal features or feature groups, the features or feature groups related to artificial intelligence / machine learning (AI / ML) in wireless communications; Functional information related to artificial intelligence / machine learning (AI / ML) in wireless communications; and Other capability information, wherein the other capability information is existing capability information related to artificial intelligence / machine learning (AI / ML).

8. The device according to claim 7, wherein: The capability includes at least one of the following capabilities, or a combination of multiple capabilities: Support for channel measurements required for artificial intelligence / machine learning (AI / ML) applications in wireless communications; Support for reference signal configuration; Support for artificial intelligence / machine learning (AI / ML) use cases in wireless communications; Support for artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications; and Support for generalization of artificial intelligence / machine learning (AI / ML) models in wireless communications.

9. The device according to claim 8, wherein: The capabilities include at least the ability to support a combination of artificial intelligence / machine learning (AI / ML) use cases in wireless communications and artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications, and the capabilities to support a combination of artificial intelligence / machine learning (AI / ML) use cases in wireless communications and artificial intelligence / machine learning (AI / ML) lifecycle management in wireless communications include at least one or more of data collection, model storage, model training, and model supervision, and / or, The capability to support generalization of artificial intelligence / machine learning (AI / ML) models in wireless communications is the capability to support generalization of artificial intelligence / machine learning (AI / ML) models in wireless communications for specific use cases.

10. The device according to claim 1, wherein: The first receiving unit further receives third information from a network device, where the third information is used to instruct the terminal device to generate the first information and send the first information to the network device.

11. The device according to claim 10, wherein: The third information is sent via RRC signaling or LPP signaling or other signaling, and / or, The first information is sent via RRC signaling, LPP signaling or other signaling.

12. The device according to claim 10, wherein: The third information includes first configuration information, and the first configuration information requires the terminal device to report the first information, or, The third information includes first configuration information and second configuration information, the first configuration information requires the terminal device to report the first information, and the second configuration information includes one or more of the content of the first information reported by the terminal device, the scope of the content of the first information reported by the terminal device, and the timing for the terminal device to report the first information.

13. The device according to claim 10, wherein: The network device comprises a first network device, The device further includes: a determining unit, which is used to determine whether the first condition is met after receiving the third information, When the first condition is met, the terminal device generates and sends the first information to the first network device, wherein the first condition is: The terminal device has not sent the first information to the first network device after receiving the third information, or, The terminal device has sent the first information to the first network device after receiving the third information, and the first information currently to be reported is different from the first information reported last time, and the timer related to the reporting of the first information is not running.

14. The device according to claim 13, wherein: When the first condition is met, the terminal device also sets a timer related to reporting of the first information.

15. The device according to claim 13, wherein: The network device comprises a second network device, The determining unit is further configured to determine whether a second condition is satisfied after receiving the third information. When the second condition is met, the terminal device generates and sends the first information to the second network device, The second condition is the same as, partially the same as, or different from the first condition.

16. The device according to claim 14, wherein: The timer is provided with one or more, wherein: The terminal device selects different timers to perform actions according to the content of the third information, and / or, Each of the timers operates independently; or, at least two of the timers operate together.

17. The device according to claim 1, wherein: The terminal device generates and sends the first information to the first network device according to a pre-defined regulation.

18. An apparatus for sending and receiving information, the apparatus being arranged in a first network device, the apparatus comprising: A second receiving unit, configured to receive first information from a terminal device, wherein the first information is related to artificial intelligence / machine learning (AI / ML) in wireless communication; as well as a second sending unit, configured to send the second information and / or the third information to the terminal device; The second information and / or the third information is used to instruct the terminal device to generate the first information and send the first information to the first network device.

19. The device according to claim 18, wherein: The device further reconfigures a function according to the first information, or does not reconfigure a function, the function being related to artificial intelligence / machine learning (AI / ML) in wireless communication, and / or The device further reports information according to the first information requirement, and / or, The device also instructs model-related operations according to the first information.

20. An apparatus for sending and receiving information, the apparatus being arranged in a second network device, the apparatus comprising: A third receiving unit, configured to receive first information from a terminal device, wherein the first information is related to artificial intelligence / machine learning (AI / ML) in wireless communication; as well as A third sending unit, configured to send the second information and / or the third information to the terminal device, The second information and / or the third information is used to instruct the terminal device to generate the first information and send the first information to the second network device.

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