Information transmission and reception method and apparatus

Abstract

Provided in the embodiments of the present application are an information transmission and reception method and apparatus. The method comprises: a first network device sending a first message to a second network device, wherein the first message comprises at least one of the following pieces of information: first data collection capability information, first network configuration information, and first request information, the first data collection capability information being used for indicating artificial intelligence (AI)-related data collection capability information of the first network device, the first network configuration information being used for indicating the current configuration parameter of the first network device, and the first request information being used for requesting the second network device to assist the first network device in executing AI-related data collection; and the first network device receiving a second message which is sent by the second network device in response to the first message.

Description

Information sending and receiving method and device Technical Field

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

[0002] The 3GPP R18 air interface artificial intelligence / machine learning (AI / ML) project defines multiple scenarios or sub-scenarios, such as CSI enhancement (which may also include at least one sub-scenario of CSI compression and CSI predication), beam management, positioning or other scenarios. The 3GPP R19 AI / ML-based mobility project considers new scenario types, such as normal switching, conditional switching, and layer-triggered mobility (L1 / L2 triggered mobility, LTM). Different scenarios or sub-scenarios can correspond to one or more features / feature groups. Applying AI / ML to the above feature / feature group is called AI / ML-based / enabled feature / feature group. An AI / ML-based / enabled feature / feature group can correspond to one or more AI functionality and / or one or more AI models.

[0003] To obtain the corresponding model, data-based model training is required. Accordingly, the model training network element needs to obtain the corresponding AI-related data. This AI-related data can be at least one of L1 and / or L3 measurement results and ground truth. For the above scenarios, the model training network element needs to collect at least one of the corresponding L1 and / or L3 data and ground truth. The measurement result information includes at least one of the following information: reference signal receiving power (RSRP), reference signal receiving quality (RSRQ), reference signal strength indicator (RSSI), signal to interference plus noise ratio (SINR), channel quality indicator (CQI), precoding matrix indicator (PMI), CSI-RS resource indicator (CSI Reference Signal Resource Indicator, CRI, CSI reference information resource indicator), SS / PBCH block resource indicator (SSBRI), layer indicator (LI), rank indicator (RI), precoding matrix (Precoding matrix), raw channel matrix, right singular vectors of the channel matrix, scalar quantization information (Scalar quantization information), quantization), codebook-based quantization, or other signal quality information. A true value refers to a measured value that can serve as a benchmark. Generally speaking, a true value is a relative concept, meaning it is a value obtained using a relatively reliable measurement method.

[0004] Taking the CSI enhancement scenario as an example, the model training network element needs to collect at least one of the following data: channel quality indicator (CQI), precoding matrix indicator (PMI), CSI-RS resource indicator (CSI Reference Signal Resource Indicator, CRI), SS / PBCH block resource indicator (SSBRI), layer indicator (LI), channel matrix, right singular vectors of the channel matrix, rank indicator (RI), L1-RSRP, L1-SINR, true value or other L1 measurement result information. Taking beam management as an example, the model training network element needs to collect at least one of the following data: precoding matrix, original channel matrix, scalar quantization information, codebook-based quantization information, beam measurement result information, true value or other measurement result information.

[0005] 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.

[0006] Summary of the Invention

[0007] The inventors discovered that the introduction of AI / ML may require network devices to collect AI-related data to support AI-related model training. Under existing mechanisms, if multiple network devices have the same network configuration parameters, each device separately collects AI-related data and performs model training, potentially leading to unnecessary waste of network resources.

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

[0009] According to one aspect of an embodiment of the present application, there is provided an information transceiver device, which is configured on a first network device side, wherein the device includes:

[0010] A sending unit, configured to send a first message to the second network device, wherein the first message includes at least one of the following information:

[0011] first data collection capability information, wherein the first data collection capability information is used to indicate artificial intelligence-related data collection capability information of the first network device;

[0012] First network configuration information, wherein the first network configuration information is used to indicate current configuration parameters of the first network device;

[0013] first request information, wherein the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and

[0014] A receiving unit receives a second message sent by the second network device in response to the first message.

[0015] According to another aspect of an embodiment of the present application, there is provided an information transceiver device, which is configured on a second network device side, wherein the device includes:

[0016] A receiving unit, configured to receive a first message sent by a first network device, wherein the first message includes at least one of the following information:

[0017] first data collection capability information, wherein the first data collection capability information is used to indicate artificial intelligence-related data collection capability information of the first network device;

[0018] First network configuration information, wherein the first network configuration information is used to indicate current configuration parameters of the first network device;

[0019] first request information, wherein the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and

[0020] A sending unit is configured to send a second message in response to the first message to the first network device.

[0021] According to another aspect of an embodiment of the present application, there is provided an information transceiver device, which is configured on a management network element side, wherein the device includes:

[0022] a determining unit, configured to determine a primary network device, wherein the primary network device is configured to perform model training;

[0023] A sending unit is configured to send a third message to a third network device; wherein the third message indicates that the third network device serves as the master network device.

[0024] According to another aspect of an embodiment of the present application, there is provided an information transceiver device, which is configured on a third network device side, wherein the device includes:

[0025] A receiving unit, configured to receive a third message sent by the management network element; wherein the third message indicates that the third network device serves as a master network device, wherein the master network device is used to perform model training;

[0026] A determination unit, wherein the device determines to perform model training according to the third message.

[0027] According to another aspect of an embodiment of the present application, there is provided an information transceiver device, which is configured on a fourth network device side, wherein the device includes:

[0028] a receiving unit configured to receive a fourth message sent by the management network element; wherein the fourth message is used to indicate to the fourth network device that the third network device serves as the master network device, and / or management information of a model that needs to be trained when the third network device serves as the master network device, wherein the master network device is used to perform model training, and

[0029] The fourth network device and the third network device have the same network configuration parameters.

[0030] According to another aspect of an embodiment of the present application, a method for sending and receiving information is provided, which is applied to a first network device side, wherein the method includes:

[0031] The first network device sends a first message to the second network device, where the first message includes at least one of the following information:

[0032] first data collection capability information, wherein the first data collection capability information is used to indicate artificial intelligence-related data collection capability information of the first network device;

[0033] First network configuration information, wherein the first network configuration information is used to indicate current configuration parameters of the first network device;

[0034] first request information, wherein the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and

[0035] The first network device receives a second message sent by the second network device in response to the first message.

[0036] According to another aspect of an embodiment of the present application, a method for sending and receiving information is provided, which is applied to a second network device side, wherein the method includes:

[0037] The second network device receives a first message sent by the first network device, wherein the first message includes at least one of the following information:

[0038] first data collection capability information, wherein the first data collection capability information is used to indicate artificial intelligence-related data collection capability information of the first network device;

[0039] First network configuration information, wherein the first network configuration information is used to indicate current configuration parameters of the first network device;

[0040] first request information, wherein the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and

[0041] The second network device sends a second message in response to the first message to the first network device.

[0042] According to another aspect of an embodiment of the present application, a method for sending and receiving information is provided, which is applied to a management network element side, wherein the method includes:

[0043] The management network element determines a primary network device, where the primary network device is used to perform model training;

[0044] The management network element sends a third message to the third network device; wherein the third message instructs the third network device to serve as the master network device.

[0045] According to another aspect of an embodiment of the present application, a method for sending and receiving information is provided, which is applied to a third network device side, wherein the method includes:

[0046] The third network device receives a third message sent by the management network element; wherein the third message indicates that the third network device serves as a master network device, wherein the master network device is used to perform model training;

[0047] The third network device determines to execute model training according to the third message.

[0048] According to another aspect of an embodiment of the present application, a method for sending and receiving information is provided, which is applied to a fourth network device side, wherein the method includes:

[0049] The fourth network device receives a fourth message sent by the management network element; wherein the fourth message is used to indicate to the fourth network device that the third network device is the master network device, and / or management information of the model that needs to be trained when the third network device is the master network device. wherein the master network device is used to perform model training. and

[0050] The fourth network device and the third network device have the same network configuration parameters.

[0051] One of the beneficial effects of the embodiments of the present application is that: a first network device sends a first message to a second network device and receives a second message sent by the second network device, so that access network devices can exchange artificial intelligence-related data collection capability information and / or network configuration information and / or artificial intelligence-related data collection requests, thereby providing support for subsequent artificial intelligence-related data collection between access network devices, and can also avoid multiple access network devices from performing model training separately, reducing the waste of network resources.

[0052] 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.

[0053] 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.

[0054] 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

[0055] 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.

[0056] FIG1 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application;

[0057] FIG2 is a schematic diagram of information interaction between a first network device and a second network device according to an embodiment of the present application;

[0058] FIG3 is another schematic diagram of information interaction between the first network device and the second network device in an embodiment of the present application;

[0059] FIG4 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application;

[0060] FIG5 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application;

[0061] 6A is a schematic diagram of information interaction between a management network element, a third network device, and a fourth network device in an embodiment of the present application;

[0062] FIG6B is a schematic diagram of information interaction between a third network device and a fourth network device in an embodiment of the present application;

[0063] FIG7 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application;

[0064] FIG8 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application;

[0065] FIG9 is a schematic diagram of an information transceiver device 900 according to an embodiment of the present application;

[0066] FIG10 is a schematic diagram of an information transceiver device 1000 according to an embodiment of the present application;

[0067] FIG11 is a schematic diagram of an information transceiver device 1100 according to an embodiment of the present application;

[0068] FIG12 is a schematic diagram of an information transceiver device 1200 according to an embodiment of the present application;

[0069] FIG13 is a schematic diagram of an information transceiver device 1300 according to an embodiment of the present application;

[0070] FIG14 is a schematic diagram of a communication system according to an embodiment of the present application;

[0071] FIG15 is a schematic diagram of a network device according to an embodiment of the present application. DETAILED DESCRIPTION

[0072] 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.

[0073] 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.

[0074] 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.

[0075] In the embodiments of the present application, a scenario involving network devices and / or terminal devices is taken as an example.

[0076] In the above scenario, the network device may include at least one of a core network device, a third-party application device, an operation administration and maintenance (OAM), and an access network device.

[0077] The core network device may refer to a device in the core network (CN) that provides service support for the terminal device. As some examples, the core network device may be at least one of the following: a mobility and management entity (MME), an access and mobility management function (AMF) entity, a session management function (SMF) entity, a user plane function (UPF) entity, a location management function (LMF) entity, and the like, which are not listed here one by one. Among them, the AMF entity may be responsible for the access management and mobility management of the terminal, the SMF entity may be responsible for session management, such as the establishment of a user session, and the UPF entity may be a functional entity of the user plane, mainly responsible for connecting to the external network. The LMF entity may manage the overall coordination and scheduling of resources required for the location of the terminal device registered with the core network device or accessing the core network device. It should be noted that in the embodiment of the present application, the entity may also be referred to as a network element or a functional entity, such as the AMF entity may also be referred to as an AMF network element or an AMF functional entity, and so on.

[0078] The third-party application device can be an OTT service (over the top server) or other third-party device.

[0079] OAM is a network device that performs operations, management, and maintenance on the network according to the actual needs of the operator's network operations.

[0080] The access network device is an access device that the terminal device uses to access the communication system wirelessly. The access network device can be a base station (BS), an evolved NodeB (eNodeB), a transmission reception point (TRP), a base station (next generation NodeB, gNB) in the fifth generation (5G) mobile communication system, a base station in the sixth generation (6G) mobile communication system, a base station in a future mobile communication system, or an access node in a WiFi system. The access network device can also be a module or unit that completes part of the functions of the base station. For example, it can be at least one of the following modules or units: a centralized unit (CU), a distributed unit (DU), a centralized unit control plane (CU control plane, CU-CP), a centralized unit user plane (CU user plane, CU-CP), an integrated access backhaul (IAB) or other modules or units. The embodiments of the present application do not limit the specific technology and / or specific device form adopted by the access network device. The access network equipment can be deployed on land, including indoors / outdoors, and can be handheld or vehicle-mounted; it can also be deployed on the water, on an airplane, on a balloon or on a satellite; the access network equipment can be deployed in a fixed location or on a mobile carrier, and the embodiments of the present application do not limit this.

[0081] In the above scenarios, a terminal device can be a device with wireless transceiver capabilities that can send signals to and / or receive signals from an access network device. A terminal device can also be referred to as a terminal, mobile station, or mobile terminal. A terminal device can be a mobile phone, tablet, or other device with wireless intelligent transceiver capabilities. Terminal devices can be widely used in various scenarios, such as device-to-device (D2D), vehicle-to-everything (V2X) communication, machine-type communication (MTC), the Internet of Things (IoT), virtual reality, augmented reality, industrial control, autonomous driving, telemedicine, and various smart scenarios.

[0082] In the above scenarios, access network devices and terminal devices, and terminal devices and terminal devices can communicate via licensed spectrum, unlicensed spectrum, or both. The embodiments of this application do not limit the spectrum resources used for wireless communications.

[0083] In the following description of this application, artificial intelligence (AI) may also be referred to as artificial intelligence / machine learning (AI / ML) or machine learning ML. These terms are interchangeable. For example, "AI-based feature or feature group" and "AI- or ML-based feature or feature group" have the same meaning, and their corresponding English terms can be AI / ML-based feature / FG.

[0084] In the above scenario, the network device can collect data related to AI model training. For example, after the terminal device collects artificial intelligence-related data, it may not report it to the network device immediately, but wait until multiple artificial intelligence-related data are collected before reporting it to the network device. For example, the network device can also collect data related to AI model training through Layer 3 signaling (RRC).

[0085] Under the existing mechanism, the main consideration is that network devices collect the required low-level AI-related data from terminal devices. To help network devices collect the required AI-related data more quickly, a low-level data collection mechanism between network devices can be considered.

[0086] For example, when network device 1 and network device 2 want to collect artificial intelligence-related data for model training in a beam management scenario, when the network configurations of network device 1 and network device 2 are the same, the artificial intelligence-related data collected by network device 1 from the UE side or the artificial intelligence-related data collected by network device 1 itself can be provided to network device 2 for model training on the network device 2 side; if the network configuration parameters of multiple network devices are the same, each network device collects data separately and performs model training, which may result in unnecessary waste of network resources.

[0087] To address at least one of the above problems, embodiments of the present application provide a method and apparatus for sending and receiving information.

[0088] The following describes embodiments of the present application with reference to the accompanying drawings and detailed descriptions. For ease of description, the following description uses a base station as an example of an access network device. In the following description, "if," "under the circumstances," and "when" can be used interchangeably to avoid confusion.

[0089] Embodiments of the first aspect

[0090] An embodiment of the present application provides a method for sending and receiving information, which is described from the perspective of a first network device.

[0091] FIG1 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application. As shown in FIG1 , the method includes:

[0092] 101. A first network device sends a first message to a second network device, wherein the first message includes at least one of the following information: first data collection capability information, first network configuration information, and first request information.

[0093] The first data collection capability information is used to indicate artificial intelligence (AI)-related data collection capability information of the first network device; the first network configuration information is used to indicate current configuration parameters of the first network device; and the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection.

[0094] 102. The first network device receives a second message sent by the second network device in response to the first message.

[0095] It is worth noting that FIG1 above only schematically illustrates an embodiment of the present application, and the present application is not limited thereto. For example, other operations may be added or some operations may be reduced. Those skilled in the art may make appropriate modifications based on the above content, and are not limited to the description of FIG1 above.

[0096] According to the above embodiment, the first network device sends a first message to the second network device and receives a second message sent by the second network device, so that the access network devices can exchange artificial intelligence-related data collection capability information and / or network configuration information and / or artificial intelligence-related data collection requests, thereby providing support for subsequent artificial intelligence-related data collection between access network devices, and can also avoid multiple access network devices from performing model training separately, reducing the waste of network resources.

[0097] In some embodiments, the "first network device" and the "second network device" may be access network devices. For example, the "first network device" and the "second network device" are access devices for terminal devices to access the communication system wirelessly. For the specific content of the "first device", please refer to the above introduction to the "access network device", which will not be repeated here.

[0098] In some embodiments, when the first message includes at least two of the "first data collection capability information, first network configuration information, and first request information", the first network device can carry the above-mentioned at least two pieces of information to the second network device through the same step, or can carry the above-mentioned at least two pieces of information to the second network device separately through different steps and / or different messages. The embodiments of the present application are not limited to this.

[0099] The following is a detailed description of the specific content of the "first message":

[0100] In some embodiments, the first message may be carried by at least one of the following messages: X2 setup request, Xn setup request, NG-RAN node configuration update, NG-RAN node configuration update acknowledgement, and other network device interface establishment request or configuration update related messages, which are not limited in this application.

[0101] In some embodiments, the first data collection capability information is used to indicate artificial intelligence (AI)-related data collection capability information of the first network device.

[0102] In some embodiments, the first data collection capability information includes at least one of the following information: artificial intelligence-related data collection indication information; artificial intelligence-related data collection type information; and other artificial intelligence-related data collection capability support information.

[0103] In some embodiments, the first data collection capability information may be at a cell level, a DU level, or a network device level. Correspondingly, the artificial intelligence (AI)-related data collection capability information indicating the first network device may indicate artificial intelligence (AI)-related data collection capability information of a cell under the first network device, artificial intelligence (AI)-related data collection capability information of a DU under the first network device, or artificial intelligence (AI)-related data collection capability information of the first network device.

[0104] In some embodiments, the first message further includes cell information and / or distribution unit (DU) identification information of the first network device.

[0105] In some embodiments, the first message may also include cell information under the first network device. And / or, if the first network device is a CU, the first message may also include identification information of the DU under the first network device. The cell information includes at least one of the following information: cell global identifier (CGI), physical cell identifier (PCI) and frequency information, cell identifier (cell ID), non-public network identifier (NPN ID), non-terrestrial network identifier (NTN ID) or at least one of other cell identifiers. CGI may include a public land mobile network (PLMN ID) and a cell ID. Optionally, the cell information may also include a tracking area code (TAC) and / or identification information of the network device to which the cell belongs, such as a global network device identifier. The identification information of the DU may be a DU ID, and / or a DU name.

[0106] For example, when the first message includes the first data collection capability information and cell information (cell ID 1), it indicates that the first data collection capability information is at the cell level, and the first data collection capability information is used to indicate the artificial intelligence (AI)-related data collection capability information of cell ID 1 under the first network device (indicating whether the current cell ID 1 supports...); for another example, when the first message includes the first data collection capability information and DU identification information (DU ID1), it indicates that the first data collection capability information is at the DU level, and the first data collection capability information is used to indicate the artificial intelligence (AI)-related data collection capability information of DU ID1 under the first network device (indicating whether the current DU ID1 supports...); for another example, when the first message includes the first data collection capability information but does not include cell information and DU identification information, it indicates that the first capability information is at the network device level, and the first capability information is used to indicate the artificial intelligence (AI)-related data collection capability information of the first network device (indicating whether the current network device (first network device) supports...).

[0107] The following is an example of the specific information of the "first data collection capability information":

[0108] For example, the "first data collection capability information" includes artificial intelligence-related data collection indication information, which is used to indicate whether the current first network device, the current cell, or the current DU supports artificial intelligence-related data collection. The artificial intelligence-related data collection indication information can be represented by a 1-bit information element. When the first data collection capability information includes this information element, it indicates that the collection of artificial intelligence-related data is supported, and when it does not include this information element, it indicates that the collection of artificial intelligence-related data is not supported. Alternatively, when the bit value of this information element is a first value, it indicates that the collection of artificial intelligence-related data is supported, and when the bit value is a second value, it indicates that the collection of artificial intelligence-related data is not supported. The first value can be 1 and the second value can be 0, or the first value can be 0 and the second value can be 1. The embodiments of the present application are not limited to this.

[0109] In some embodiments, the "first data collection capability information" includes artificial intelligence-related data collection type information, which may include at least one of the following information: artificial intelligence-related data collection support information corresponding to scene type information / sub-scene type information / feature information / feature group information / function information / model information, artificial intelligence-related data collection support information corresponding to model type information, or other types of information.

[0110] For example, scene type information / sub-scene type information / feature information / feature group information / function information / model information can be used to determine at least one scene type / sub-scene type / feature / feature group / function / model. The description of the scene type / sub-scene type / feature / feature group / function / model can be found in the background technology and will not be repeated here. For example, the artificial intelligence-related data collection support information corresponding to the model information is used to indicate whether the current network device or the current cell or the current DU supports the data collection corresponding to the model, or to indicate whether the current network device or the current cell or the current DU supports the data collection corresponding to the model under a certain function under a certain artificial intelligence-based feature or feature group, or to indicate whether the current network device or the current cell or the current DU supports the data collection corresponding to the model under a certain artificial intelligence-based feature or feature group.

[0111] Therefore, by including artificial intelligence-related data collection support information corresponding to scene type information / sub-scene type information / feature information / feature group information / function information / model information, the artificial intelligence-related data collection capabilities supported by the cell / DU / network equipment can be refined, making the collection of artificial intelligence-related data more targeted.

[0112] For example, the model type information is used to indicate the model type, which may include a one-sided model and a multi-sided model. A one-sided model refers to a model deployed on a single device, which may be referred to as a one-sided model. For example, depending on the deployed device, the one-sided model may be further divided into a UE-sided model on the terminal device side and a NW-sided model on the network device side. It is understood that depending on the deployed network device, the NW-sided model may be further divided into a gNB-sided model, an LMF-sided model, or other network device-side models. A multi-sided model refers to a model deployed on at least two devices. For example, in a CSI compression scenario, the model may be deployed on the UE and the NW, respectively. This model may be referred to as a two-sided model.

[0113] For example, the artificial intelligence-related data collection support information corresponding to the model type information is used to indicate whether the current network device or the current cell or the current DU supports the model type, or to indicate whether the current network device or the current cell or the current DU supports the model type under a certain artificial intelligence-based feature or a certain function under a feature group, or to indicate whether the current network device or the current cell or the current DU supports the model type under a certain artificial intelligence-based feature or a feature group; optionally, the model type can be indicated by the identification information of the model. The identification information of the model can be an index, an identifier, a name, or other information.

[0114] For example, the "first data collection capability information" may also include supporting information on other artificial intelligence-related data collection capabilities, etc., but this application is not limited to this.

[0115] In some embodiments, the first network configuration information includes at least one of the following information: antenna configuration information of the network device; beam configuration information of the network device; coverage configuration information of the network device; and status information of the network device.

[0116] For example, the antenna configuration information of the network device may include at least one configuration information such as the tilt angle information under the antenna, the number of antennas, analog antennas, digital antennas, physical antennas, etc.; the beam configuration information of the network device may include at least one configuration information such as beam width information, the number of beams, beam identification information, beam index information, beam scanning information, etc.; the coverage configuration information of the network device may include frequency information, maximum transmit power information, coverage range information, indoor, outdoor, etc., etc.; and the status information of the network device may include at least one status information such as whether the capacity station and coverage station have enabled network energy saving, network energy saving configuration information, etc.; the network device (NW) environment information and / or configuration information may also include other information, which is not limited in this application.

[0117] For example, the "first network configuration information" may be specific configuration information, or may be an identifier or index information corresponding to the configuration information. For example, the correspondence between the network device configuration information and its identifier or index information may be determined by a predetermined protocol, or by a management device of the network device (e.g., a core network device, at least one of OAM devices). When other devices receive the above identifier or index information, they may determine the configuration information of the network device corresponding to the above identifier or index information based on the corresponding relationship predefined by the protocol or through the obtained corresponding relationship.

[0118] In some embodiments, the first message also includes first request information.

[0119] In some embodiments, the first request information includes at least one of the following information: desired network device configuration information; desired terminal device configuration information; desired AI-related data volume information; AI-related data report configuration information; and desired terminal device information for collecting AI-related data. It is understood that the "desired" information mentioned above refers to information corresponding to the data that the first network device expects the second network device to provide.

[0120] In some embodiments, the first request information may also include request information corresponding to artificial intelligence-related data collection type information. For example, the description of artificial intelligence-related data collection type information can be found in the previous section and will not be repeated here.

[0121] For example, the “expected network device configuration information” includes the network device configuration information that the first network device expects to obtain. Please refer to the relevant description of the “first network configuration information” and will not be repeated here.

[0122] For example, “desired terminal device configuration information” includes terminal device configuration information that the first network device desires to obtain.

[0123] In some embodiments, the desired terminal device configuration information includes at least one of the following information: speed information of the terminal device; computing speed information of the terminal device; service cell information of the terminal device; and channel model information between the terminal device and the network device.

[0124] For example, the speed information of the terminal device is used to indicate the speed information determined by the terminal device, which can be instantaneous speed information or average speed information; the calculation speed information of the terminal device is used to indicate the computing power information that can be provided by the terminal device operation model; the cell information includes at least one of the following information: a cell global identifier (CGI), a physical cell identifier (PCI) and frequency information, a cell identifier (cell ID), a non-public network identifier (NPN ID), a non-terrestrial network identifier (NTN ID) or other cell identifiers. The CGI may include a public land mobile network (PLMN ID) and a cell ID. Optionally, the cell information may also include a tracking area code (TAC) and / or identification information of the network device to which the cell belongs, such as a global network device identifier. The channel model information between the terminal device and the network device includes related information such as a line of sight (LOS) model or a non-line of sight (NLOS) model; it can be understood that the terminal device (UE) environment information and / or configuration information may also include other information, which is not limited in this application.

[0125] For example, the "expected terminal device configuration information" can be specific configuration information, or it can be an identifier or index information corresponding to the configuration information. Based on the identifier or index information, the corresponding specific configuration information can be determined. For example, the correspondence between the terminal device configuration information and its identifier or index information is determined by a predetermined protocol, or by a terminal device, or a management device of the terminal device (for example, a terminal manufacturer's management device, an OTT server, a terminal chip manufacturer's management device, or at least one of OAM). When the second network device receives the above-mentioned identifier or index information, it can determine the terminal device configuration information corresponding to the above-mentioned identifier or index information based on the correspondence predefined by the protocol, or through the correspondence obtained from other devices (for example, a terminal device, a terminal device management device, a core network device, an OAM, or at least one of other network devices).

[0126] For example, “expected artificial intelligence-related data volume information” is used to indicate the artificial intelligence-related data size information that the first network device expects to obtain.

[0127] For example, "AI-related data reporting configuration information" is used to indicate the format in which the second network device transmits AI-related data to the first network device. For example, the AI-related data may be transmitted periodically or based on an event trigger; accordingly, the "AI-related data reporting configuration information" may include at least one of periodicity information and event trigger configuration information. The "AI-related data reporting configuration information" may also include other information, which is not limited by this application.

[0128] For example, "desired terminal device information for collecting artificial intelligence-related data" is used to indicate the terminal device information for which the first network device desires to collect artificial intelligence-related data. The terminal device information may be at least one of the terminal device's manufacturer information, the terminal device's chip information, or the terminal device's identification information.

[0129] For example, the identification information of the terminal device may include at least one of the following information: a cell radio network temporary identifier (Cell Radio-Network Temporary Identifier, C-RNTI) of the terminal device in the second network device, identification information of the terminal device on the first network device side on the interface between access network devices (for example, RAN node1 UE XnAP ID), identification information of the terminal device on the second network device side on the interface between access network devices (for example, RAN node2 UE XnAP ID), a globally unique temporary UE identity (global unique temporary UE identity, GUTI), an international mobile subscriber identity (IMSI), a temporary mobile subscriber identity (TMSI) or others, and this application does not limit this.

[0130] The following is a detailed description of the specific content of the "second message":

[0131] In some embodiments, the second message may be carried by at least one of the following messages: X2 setup response, Xn setup response, NG-RAN node configuration update, NG-RAN node configuration update acknowledgement; and other network device interface establishment response or configuration update related messages, but this application is not limited to this.

[0132] In some embodiments, the second message includes second data collection capability information and / or second network configuration information, wherein the second data collection capability information is used to indicate artificial intelligence (AI)-related capability information of the second network device, and the second network configuration information is used to indicate the current configuration parameters of the second network device.

[0133] In some embodiments, the second data collection capability information is used to indicate artificial intelligence-related data collection capability information related to the second network device; the second network configuration information is used to indicate the current configuration parameters of the second network device. For example, the implementation of the second data collection capability information and the second network configuration information can refer to the first data collection capability information and the first network configuration information, and the repeated parts are not repeated here.

[0134] In some embodiments, the second message further includes identification information of the second network device.

[0135] For example, the identification information of the second network device may be the ID of the network device or the name information of the network device, such as a global node ID, a gNB-CU name, or other identification information of the network device.

[0136] In some embodiments, the second message further includes cell information and / or distribution unit (DU) identification information of the second network device.

[0137] For example, the second message may further include cell information of the second network device, and / or, if the second network device is a CU, the second message may further include DU (distributed unit) identification information of the second network device.

[0138] For example, when the second message includes the second data collection capability information and cell information (cell ID 2), it indicates that the second data collection capability information is at the cell level, and the second data collection capability information is used to indicate the artificial intelligence-related data collection capability information of cell ID 2 under the second network device (indicating whether cell ID 2 supports...); when the second message includes the second data collection capability information and DU identification information (DU ID2), it indicates that the second data collection capability information is at the DU level, and the second data collection capability information is used to indicate the artificial intelligence-related data collection capability information of DU ID2 under the second network device (indicating whether DU ID2 supports...); when the second message includes the second data collection capability information but does not include cell information and DU identification information, it indicates that the second data collection capability information is at the network device level, and the second data collection capability information is used to indicate the artificial intelligence-related data collection capability information of the second network device (indicating whether the network device (second network device) supports...).

[0139] In some embodiments, the second message includes a confirmation message, which includes the collected artificial intelligence-related data information; or, the second message includes a failure message, which is used to indicate that the second network device cannot execute the request for collecting all or part of the artificial intelligence-related data in the first request information.

[0140] For example, the second message may be a confirmation message, which may include the collected AI-related data information. Optionally, the confirmation message may also include at least one of network configuration information, terminal configuration information, and terminal device information corresponding to the AI-related data. Optionally, the confirmation message may also include AI-related data collection support information corresponding to the scenario type information / sub-scenario type information / feature information / feature group information / function information / model information corresponding to the AI-related data, AI-related data collection support information corresponding to the model type information, or at least one of other information. For relevant details, please refer to the aforementioned embodiments and will not be repeated here.

[0141] For example, the second message may be a failure message indicating that the second network device was unable to execute all or part of the AI-related data collection request in the first request message. For example, the failure message may carry at least one of the following: failure reason information, AI-related data collection type information corresponding to the successfully accepted AI-related data collection request, and AI-related data collection type information corresponding to the failed AI-related data collection request. For example, the failure reason information may include network configuration information mismatch, invalid expected terminal configuration information, or other possible failure reasons. For related details, please refer to the aforementioned embodiments and will not be elaborated here.

[0142] After the above detailed description of the “first message” and the “second message”, the following details the interaction between the first network device and the second network device of the present application in combination with specific embodiments:

[0143] (1) Example 1

[0144] In this embodiment, taking FIG. 2 as an example, the first network device and the second network device involved may be a base station or a CU or other access network devices, and the embodiment of the present application is not limited thereto.

[0145] The following is explained using “the first message includes first data collection capability information and / or first network configuration information; the second message includes second data collection capability information and / or second network configuration information” as an example:

[0146] FIG2 is a schematic diagram of information interaction between a first network device and a second network device in an embodiment of the present application. As shown in FIG2 , the method includes:

[0147] 201. A first network device sends a first message to a second network device, where the first message includes first data collection capability information and / or first network configuration information.

[0148] 202. The second network device sends a second message in response to the first message to the first network device.

[0149] Optionally, the second message includes second data collection capability information and / or second network configuration information.

[0150] As a possible implementation manner, in step 202, the second message may further include cell information of the second network device, and / or, if the second network device is a CU, the second message may further include identification information of the DU of the second network device.

[0151] For example, the details of "first data collection capability information and / or first network configuration information", "second data collection capability information and / or second network configuration information", etc. can be found in the aforementioned implementation manner and will not be repeated here.

[0152] Therefore, through the interaction of artificial intelligence-related data collection capabilities and / or network configurations between access network devices (for example, between a first network device and a second network device), the access network device can obtain artificial intelligence-related data collection capability information and / or network configuration information of adjacent access network devices, thereby providing support for subsequent artificial intelligence-related data collection between access network devices.

[0153] (II) Example 2

[0154] In this embodiment, taking FIG. 3 as an example, the first network device and the second network device involved may be a base station or a CU or other access network devices, and the embodiment of the present application is not limited thereto.

[0155] The following is an example of "the first message includes first request information; the second message includes a confirmation message, or a failure message":

[0156] FIG3 is another schematic diagram of information interaction between the first network device and the second network device in an embodiment of the present application. As shown in FIG3 , the method includes:

[0157] 301. A first network device sends a first message to a second network device, where the first message includes first request information.

[0158] 302. The second network device sends a second message in response to the first message to the first network device. The second message includes a confirmation message or a failure message.

[0159] As a possible implementation method, in step 302, the confirmation message may also include "collected artificial intelligence-related data information, network configuration information corresponding to the artificial intelligence-related data, terminal configuration information, terminal device information, artificial intelligence-related data collection support information corresponding to the scene type information / sub-scene type information / feature information / feature group information / function information / model information of the artificial intelligence-related data, artificial intelligence-related data collection support information corresponding to the model type information, or at least one of other information"; the failure message may also include "failure reason information, artificial intelligence-related data collection type information corresponding to the successfully accepted artificial intelligence-related data collection request, and artificial intelligence-related data collection type information corresponding to the failed artificial intelligence-related data collection request."

[0160] For example, the details of the "first request information", "confirmation message or failure message", etc. can be found in the aforementioned implementation manner and will not be repeated here.

[0161] Therefore, by collecting artificial intelligence-related data between access network devices (for example, between the first network device and the second network device) and obtaining corresponding artificial intelligence-related data reports, a large amount of artificial intelligence-related data support is provided for model training.

[0162] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0163] According to the above embodiment, the first network device sends a first message to the second network device and receives a second message sent by the second network device, so that the access network devices can exchange artificial intelligence-related data collection capability information and / or network configuration information and / or artificial intelligence-related data collection requests, thereby providing support for subsequent artificial intelligence-related data collection between access network devices, and can also avoid multiple access network devices from performing model training separately, reducing the waste of network resources.

[0164] Embodiments of the second aspect

[0165] An embodiment of the present application provides a method for sending and receiving information, which is described from the side of the second network device. The contents that are the same as those of the embodiment of the first aspect will not be repeated; the "embodiment of the second aspect" of this application can be implemented in combination with the "embodiment of the first aspect" or can be implemented separately.

[0166] FIG4 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application. As shown in FIG4 , the method includes:

[0167] 401. A second network device receives a first message sent by a first network device, wherein the first message includes at least one of the following information: first data collection capability information, first network configuration information, and first request information.

[0168] The first data collection capability information is used to indicate artificial intelligence (AI)-related data collection capability information of the first network device; the first network configuration information is used to indicate current configuration parameters of the first network device; and the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and

[0169] 402. The second network device sends a second message in response to the first message to the first network device.

[0170] According to the above embodiment, the first network device sends a first message to the second network device and receives a second message sent by the second network device, so that the access network devices can exchange artificial intelligence-related data collection capability information and / or network configuration information and / or artificial intelligence-related data collection requests, thereby providing support for subsequent artificial intelligence-related data collection between access network devices, and can also avoid multiple access network devices from performing model training separately, reducing the waste of network resources.

[0171] In some embodiments, the descriptions of "first message", "second message", "first network device", and "second network device" refer to the relevant descriptions of the embodiments of the first aspect and are not repeated here.

[0172] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0173] According to the above embodiment, the first network device sends a first message to the second network device and receives a second message sent by the second network device, so that the access network devices can exchange artificial intelligence-related data collection capability information and / or network configuration information and / or artificial intelligence-related data collection requests, thereby providing support for subsequent artificial intelligence-related data collection between access network devices, and can also avoid multiple access network devices from performing model training separately, reducing the waste of network resources.

[0174] Embodiments of the third aspect

[0175] An embodiment of the present application provides a method for sending and receiving information, which is described from the perspective of a management network element.

[0176] FIG5 is a schematic diagram of a method for sending and receiving information according to an embodiment of the present application. As shown in FIG5 , the method includes:

[0177] 501, the management network element determines a primary network device, which is used to perform model training;

[0178] Optionally, the management network element may also determine management information of the model for which the master network device performs model training.

[0179] 502. The management network element sends a third message to a third network device; wherein the third message instructs the third network device to serve as the master network device.

[0180] According to the above embodiment, the main network device is determined by the management network element, and model training is performed through the main access network device, thereby avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0181] In some embodiments, the "management network element" can be a core network device, such as OAM. Optionally, the "second device" can also be other access network devices, access network device management devices, or OTT servers, etc. This application does not limit this.

[0182] In some embodiments, the fourth network device and the third network device have the same network configuration parameters.

[0183] For example, the management network element determines the third network device as the main network device between the fourth network device and the third network device having the same network configuration parameters, and the third network device is used to perform model training.

[0184] In some embodiments, the third message also includes identification information of a fourth network device and / or cell information of the fourth network device. The fourth network device and the third network device have the same network configuration parameters. The "network configuration parameters" are similar to the relevant information in the embodiment of the first aspect and are not further described here.

[0185] For example, the "identification information of the fourth network device" may include local access network device identification information, globally unique access network device identification information, or other identification information; the cell information under the fourth network device can refer to the relevant description in the embodiment of the first aspect mentioned above, and will not be repeated here.

[0186] In some embodiments, the third message also includes management information indicating the model that needs to be trained when the third network device acts as the primary network device. The management information of the model is used to indicate the scenario information and / or model type information to which the model that needs to be trained belongs. For example, the scenario information can be at least one of the following information: scenario type information, sub-scenario type information, feature information, feature group information, function information, or other scenario information. For example, the “model type information” can refer to the relevant description in the aforementioned “embodiment of the first aspect” and will not be repeated here.

[0187] In some embodiments, the method further comprises:

[0188] 503. The management network element receives the trained model and / or related information of the trained model sent by the third network device.

[0189] In some embodiments, the relevant information of the trained model includes at least one of the following information: identification information of the model, network device configuration information applicable to the model, terminal device configuration information applicable to the model, main network device information of the model, and permission information of the model.

[0190] The identification information of the model may include at least one of the following: globally unique identification information of the model, unique identification information of the model within the operator, and unique identification information of the model within a region having the same network configuration information;

[0191] The network device configuration information applicable to the model is used to indicate network device configuration information that can achieve better model performance. The description of the network device configuration information can be found above and will not be repeated here. As an example, the network device configuration information applicable to the model includes the network device configuration information of the third network device; the description of the terminal device configuration information can be found above and will not be repeated here.

[0192] The main network device information of the model is used to indicate the third network device, and may include part or all of the identification information of the third network device;

[0193] The permission information of the model is used to indicate whether the model can be shared, and / or to indicate the information of the network device and / or terminal device that the model can share; for example, the permission information of the model may include: area information, sharing indication information, chip manufacturer information of the terminal device, manufacturer information of the terminal device, manufacturer information of the network device or other information, wherein, for example, the area information may include at least one beam information, and / or at least one cell information, and / or at least one tracking area code information, and / or at least one access network area code information.

[0194] In some embodiments, the method further comprises:

[0195] 504. The management network element sends a fourth message to the fourth network device; wherein the fourth message is used to indicate to the fourth network device that the third network device serves as the master network device, and / or management information of a model that needs to be trained when the third network device serves as the master network device;

[0196] 505. The management network element sends the trained model and / or related information of the trained model to the fourth network device.

[0197] The above steps 503 to 505 are optional steps, and steps 503 to 505 can be implemented separately or in combination with steps 501 and 502; and regarding the execution order of steps 503 to 505, the embodiment of the present application is not limited to this, and optionally, steps 503 to 505 can also be executed simultaneously.

[0198] For example, the fourth message may include main network device information (e.g., device information of the third network device), such as identification information of the third network device and / or cell information under the third network device, or other information; for example, the fourth message may also include management information of the model that the main network device needs to train.

[0199] In some embodiments, the third network device may also directly send the trained model and / or related information of the trained model to the fourth network device. For example, the process of "the management network element sending the trained model and / or related information of the trained model to the fourth network device" in step 505 in Figure 5 may be replaced.

[0200] For example, when the third network device serving as the main network device determines that model training is completed, the third network device can directly or indirectly send the trained model, or the model and model-related information to the fourth network device with the same network configuration parameters or the fourth network device to which the cell with the same network configuration parameters belongs through the interface between the third network device and the fourth network device; or, the third network device can send the trained model and / or related information of the trained model to the management network element through the interface between the third network device and the management network element, and then the management network element sends the trained model, and / or the model and model-related information to the fourth network device with the same network configuration parameters as the third network device or the fourth network device to which the cell with the same network configuration parameters as the third network device belongs.

[0201] As a possible implementation manner, the third network device and the fourth network device can negotiate the main network device corresponding to the model that needs to be trained.

[0202] In some embodiments, the third network device sends a fifth message to the fourth network device, where the fifth message is used to indicate that the third network device is the master network device.

[0203] The fourth network device and the third network device have the same network configuration parameters.

[0204] In some embodiments, the fifth message also includes management information for indicating the model that needs to be trained when the third network device is used as the master network device. The description of the management information of the model can be referred to above and will not be repeated here.

[0205] In some embodiments, the third network device receives a sixth message sent by the fourth network device in response to the fifth message.

[0206] In some embodiments, the sixth message includes a confirmation message or a failure message. The description of the confirmation message or the failure message can be referred to above and will not be repeated here.

[0207] In some embodiments, when the sixth message includes a confirmation message, the third network device sends the trained model and / or related information of the trained model to the fourth network device. The description of the trained model and / or related information of the trained model can be referred to above and will not be repeated here.

[0208] After the above detailed description of the “third message”, “fourth message”, “fifth message”, “sixth message”, “trained model”, and “relevant information of the trained model”, the following details the interaction between the management network element, the third network device, and the fourth network device of the present application in conjunction with specific embodiments:

[0209] (III) Example 3

[0210] In this embodiment, taking Figure 6A as an example, the third network device and the fourth network device involved can be a base station or CU or other access network devices, and the management network element can be at least one of OAM, OTT server, access network device management device, etc. The embodiment of the present application is not limited to this.

[0211] The following is explained using “the third message indicating that the third network device serves as the master network device and includes identification information of the fourth network device and / or cell information under the fourth network device” and “the fourth message is used to indicate to the fourth network device that the third network device serves as the master network device, and / or, management information of the model that needs to be trained when the third network device serves as the master network device” as an example:

[0212] FIG6A is a schematic diagram of information interaction between a management network element, a third network device, and a fourth network device in an embodiment of the present application. As shown in FIG6A , the method includes:

[0213] 601. The management network element sends a third message to a third network device. Optionally, the third message indicates that the third network device serves as the master network device, and the third message includes identification information of a fourth network device and / or cell information of the fourth network device.

[0214] 602. The management network element sends a fourth message to the third network device. Optionally, the fourth message indicates that the third network device serves as the master network device, and / or management information of a model that needs to be trained when the third network device serves as the master network device.

[0215] 603. The third network device sends the trained model and / or related information of the trained model to the management network element;

[0216] 604. The management network element sends the trained model and / or related information of the trained model to the fourth network device;

[0217] Optionally, the above 603 and 604 can be replaced with 603':

[0218] 603 ′: The third network device sends the trained model and / or related information of the trained model to the fourth network device.

[0219] As a possible implementation method, in step 601, the third message may also include "management information of the model that needs to be trained when the third network device serves as the main network device."

[0220] For example, the details of "the identification information of the fourth network device and / or the cell information under the fourth network device", "the trained model and / or the related information of the trained model", etc. can be found in the aforementioned implementation manner and will not be repeated here.

[0221] Therefore, the main network device is determined by the management network element, and model training is performed through the main access network device, avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0222] (IV) Example 4

[0223] In this embodiment, taking FIG. 6B as an example, the third network device and the fourth network device involved may be at least one of a base station or a CU or other access network devices, and the embodiment of the present application is not limited thereto.

[0224] The following is explained by taking "the fifth message instructing the third network device to serve as the master network device" and "the sixth message includes a confirmation message or a failure message" as an example:

[0225] FIG6B is a schematic diagram of information interaction between a third network device and a fourth network device in an embodiment of the present application. As shown in FIG6B , the method includes:

[0226] 611. The third network device sends a fifth message to the fourth network device, where the fifth message instructs the third network device to serve as the master network device.

[0227] Optionally, the fifth message also includes management information for indicating the model that needs to be trained when the third network device is used as the master network device. The description of the management information of the model can be referred to above and will not be repeated here.

[0228] 612. The fourth network device sends a sixth message to the third network device, where the sixth message includes a confirmation message or a failure message.

[0229] Optionally, when the sixth message includes a confirmation message, the method includes:

[0230] 613. The third network device sends the trained model and / or related information of the trained model to the fourth network device.

[0231] Therefore, by determining the main network device between the access network devices and performing model training through the main access network device, unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training is avoided.

[0232] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0233] According to the above embodiment, the main network device is determined by the management network element, and model training is performed through the main access network device, thereby avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0234] Embodiments of the fourth aspect

[0235] An embodiment of the present application provides a method for sending and receiving information, which is described from the side of a third network device. The contents that are the same as those of the embodiment of the third aspect will not be repeated; the "embodiment of the fourth aspect" of this application can be implemented in combination with the "embodiment of the third aspect" or can be implemented separately.

[0236] FIG7 is a 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:

[0237] 701. A third network device receives a third message sent by a management network element; wherein the third message indicates that the third network device serves as a master network device, wherein the master network device is used to perform model training;

[0238] 702. The third network device determines to execute model training according to the third message.

[0239] According to the above embodiment, the main network device is determined by the management network element, and model training is performed through the main access network device, thereby avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0240] In some embodiments, the third message further includes identification information of a fourth network device and / or cell information of the fourth network device, wherein the fourth network device and the third network device have the same network configuration parameters.

[0241] In some embodiments, the third message also includes management information indicating a model that needs to be trained when the third network device acts as a master network device.

[0242] In some embodiments, the method further comprises:

[0243] 703. The third network device sends the trained model and / or related information of the trained model to the management network element.

[0244] 704. The third network device sends the trained model and / or related information of the trained model to the fourth network device.

[0245] The above steps 703 to 704 are optional steps. Steps 703 to 704 can be implemented separately or in combination with steps 701 and 702. As for the execution order of steps 703 to 704, the embodiment of the present application is not limited to this. Optionally, steps 703 to 704 can also be executed simultaneously.

[0246] In some embodiments, the relevant information of the trained model includes at least one of the following information: identification information of the model, network device configuration information applicable to the model, terminal device configuration information applicable to the model, main network device information of the model, and permission information of the model.

[0247] In some embodiments, the third network device sends a fifth message to the fourth network device, where the fifth message is used to indicate that the third network device is the master network device, wherein the fourth network device and the third network device have the same network configuration parameters.

[0248] In some embodiments, the fifth message also includes management information for indicating the model that needs to be trained when the third network device is used as the master network device. The description of the management information of the model can be referred to above and will not be repeated here.

[0249] In some embodiments, the third network device receives a sixth message sent by the fourth network device in response to the fifth message.

[0250] In some embodiments, the sixth message includes a confirmation message or a failure message.

[0251] In some embodiments, when the sixth message includes a confirmation message, the third network device sends the trained model and / or related information of the trained model to the fourth network device.

[0252] In some embodiments, the descriptions of "third message", "fourth message", "fifth message", "sixth message", "third network device", "fourth network device", and "management network element" refer to the relevant descriptions of the embodiments of the third aspect and are not repeated here.

[0253] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0254] According to the above embodiment, the main network device is determined by the management network element, and model training is performed through the main access network device, thereby avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0255] Embodiments of the fifth aspect

[0256] An embodiment of the present application provides a method for sending and receiving information, which is described from the side of the fourth network device. The contents that are the same as those of the embodiments of the third aspect and the fourth aspect will not be repeated; the "embodiment of the fifth aspect" of this application can be implemented in combination with the "embodiment of the third aspect" and the "embodiment of the fourth aspect", or can be implemented separately.

[0257] FIG8 is a 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:

[0258] 801. A fourth network device receives a fourth message sent by a management network element; wherein the fourth message is used to indicate to the fourth network device that the third network device serves as a master network device, and / or management information of a model that needs to be trained when the third network device serves as a master network device, wherein the master network device is used to perform model training; and the fourth network device and the third network device have the same network configuration parameters.

[0259] In some embodiments, the method further comprises:

[0260] 802. The fourth network device receives the trained model and / or related information of the trained model sent by the third network device and / or the management network element.

[0261] The above step 802 is an optional step. Step 802 can be implemented alone or in combination with step 801. The embodiment of the present application is not limited to this.

[0262] In some embodiments, the relevant information of the trained model includes at least one of the following information: identification information of the model, network device configuration information applicable to the model, terminal device configuration information applicable to the model, main network device information of the model, and permission information of the model.

[0263] In some embodiments, the fourth network device receives a fifth message sent by the third network device, where the fifth message is used to indicate that the third network device is the master network device, wherein the fourth network device and the third network device have the same network configuration parameters.

[0264] In some embodiments, the fifth message also includes management information for indicating the model that needs to be trained when the third network device is used as the master network device. The description of the management information of the model can be referred to above and will not be repeated here.

[0265] In some embodiments, the fourth network device sends a sixth message in response to the fifth message to the third network device.

[0266] In some embodiments, the sixth message includes a confirmation message or a failure message.

[0267] In some embodiments, when the sixth message includes a confirmation message, the fourth network device receives the trained model and / or related information of the trained model sent by the third network device.

[0268] In some embodiments, the descriptions of "third message", "fourth message", "fifth message", "sixth message", "third network device", "fourth network device", and "management network element" refer to the relevant descriptions of the embodiments of the third aspect and are not repeated here.

[0269] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0270] According to the above embodiment, the main network device is determined by the management network element, and model training is performed through the main access network device, thereby avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0271] Embodiments of the sixth aspect

[0272] An embodiment of the present application provides an information transceiver device 900 .

[0273] Figure 9 is a schematic diagram of an information transceiver device 900 according to an embodiment of the present application. This device may be, for example, a first network device, or one or more components or assemblies configured on the first network device. Since the principle of solving the problem of this device is the same as the method of the embodiment of the first aspect, its specific implementation can refer to the implementation of the method of the embodiment of the first aspect, and the same content will not be repeated here.

[0274] As shown in FIG9 , the information transceiver device 900 includes:

[0275] The sending unit 901 sends a first message to the second network device, wherein the first message includes at least one of the following information: first data collection capability information, first network configuration information, and first request information.

[0276] The first data collection capability information is used to indicate artificial intelligence (AI)-related data collection capability information of the first network device; the first network configuration information is used to indicate current configuration parameters of the first network device; and the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection.

[0277] The receiving unit 902 receives a second message sent by the second network device in response to the first message.

[0278] In some embodiments, the first data collection capability information includes at least one of the following information: artificial intelligence-related data collection indication information; artificial intelligence-related data collection type information; and other artificial intelligence-related data collection capability support information.

[0279] In some embodiments, the first network configuration information includes at least one of the following information: antenna configuration information of the network device; beam configuration information of the network device; coverage configuration information of the network device; and status information of the network device.

[0280] In some embodiments, the first message further includes cell information and / or distributed unit (DU) identification information of the first network device.

[0281] In some embodiments, the second message includes second data collection capability information and / or second network configuration information, wherein the second data collection capability information is used to indicate artificial intelligence (AI)-related capability information of the second network device, and the second network configuration information is used to indicate the current configuration parameters of the second network device.

[0282] In some embodiments, the second message further includes cell information and / or distributed unit (DU) identification information of the second network device.

[0283] In some embodiments, the first request information includes at least one of the following information: expected network device configuration information; expected terminal device configuration information; expected artificial intelligence-related data volume information; artificial intelligence-related data report configuration information; and expected terminal device information for collecting artificial intelligence-related data.

[0284] In some embodiments, the desired terminal device configuration information includes at least one of the following information: speed information of the terminal device; computing speed information of the terminal device; service cell information of the terminal device; and a channel model between the terminal device and the network device.

[0285] In some embodiments, the second message includes a confirmation message, which includes the collected artificial intelligence-related data information; or, the second message includes a failure message, which is used to indicate that the second network device cannot execute the request for collecting all or part of the artificial intelligence-related data in the first request information.

[0286] In some embodiments, the descriptions of "first message", "second message", "first network device", and "second network device" refer to the relevant descriptions of the embodiments of the first aspect and are not repeated here.

[0287] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0288] It is worth noting that the above description only describes the components or modules related to this application, but this application is not limited thereto. The above-mentioned device may also include other components or modules. For the specific content of these components or modules, please refer to the relevant art. In addition, the above-mentioned components or modules can be implemented by hardware facilities such as processors, memories, transmitters, and receivers; the implementation of this application is not limited to this.

[0289] According to the above embodiment, the first network device sends a first message to the second network device and receives a second message sent by the second network device, so that the access network devices can exchange artificial intelligence-related data collection capability information and / or network configuration information and / or artificial intelligence-related data collection requests, thereby providing support for subsequent artificial intelligence-related data collection between access network devices, and can also avoid multiple access network devices from performing model training separately, reducing the waste of network resources.

[0290] Embodiments of the seventh aspect

[0291] An embodiment of the present application provides an information sending and receiving device.

[0292] Figure 10 is a schematic diagram of an information transceiver device 1000 according to an embodiment of the present application. This device may be, for example, a second network device, or one or more components or assemblies configured on the second network device. Because the principle of solving the problem of this device is the same as that of the embodiment of the second aspect, its specific implementation can refer to the implementation of the method of the embodiment of the second aspect, and the details of the same content will not be repeated here.

[0293] As shown in FIG10 , the information transceiver device 1000 includes:

[0294] The receiving unit 1001 receives a first message sent by a first network device, where the first message includes at least one of the following information: first data collection capability information, first network configuration information, and first request information.

[0295] The first data collection capability information is used to indicate artificial intelligence (AI)-related data collection capability information of the first network device; the first network configuration information is used to indicate current configuration parameters of the first network device; and the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection.

[0296] The sending unit 1002 sends a second message in response to the first message to the first network device.

[0297] In some embodiments, the descriptions of "first message", "second message", "first network device", and "second network device" refer to the relevant descriptions of the embodiments of the first aspect and are not repeated here.

[0298] The above embodiments are merely exemplary descriptions of the methods of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used individually, or one or more of the above embodiments may be combined.

[0299] It is worth noting that the above description only describes the components or modules related to this application, but this application is not limited thereto. The above-mentioned device may also include other components or modules. For the specific content of these components or modules, please refer to the relevant art. In addition, the above-mentioned components or modules can be implemented by hardware facilities such as processors, memories, transmitters, and receivers; the implementation of this application is not limited to this.

[0300] According to the above embodiment, the first network device sends a first message to the second network device and receives a second message sent by the second network device, so that the access network devices can exchange artificial intelligence-related data collection capability information and / or network configuration information and / or artificial intelligence-related data collection requests, thereby providing support for subsequent artificial intelligence-related data collection between access network devices, and can also avoid multiple access network devices from performing model training separately, reducing the waste of network resources.

[0301] Embodiments of the eighth aspect

[0302] An embodiment of the present application provides an information sending and receiving device.

[0303] Figure 11 is a schematic diagram of an information transceiver device 1100 according to an embodiment of the present application. This device may be, for example, a management network element, or one or more components or assemblies configured in the management network element. Because the principle of solving the problem of this device is the same as that of the embodiment of the third aspect, its specific implementation can refer to the implementation of the method of the embodiment of the third aspect, and the same content will not be repeated here.

[0304] As shown in FIG11 , the information transceiver device 1100 includes:

[0305] A determining unit 1101 is configured to determine a primary network device, where the primary network device is configured to perform model training;

[0306] The sending unit 1102 sends a third message to a third network device, wherein the third message indicates that the third network device serves as the master network device.

[0307] In some embodiments, the third message further includes identification information of a fourth network device and / or cell information of the fourth network device, wherein the fourth network device and the third network device have the same network configuration parameters.

[0308] In some embodiments, the third message further includes management information indicating a model that needs to be trained when the third network device acts as a master network device.

[0309] In some embodiments, the sending unit 1102 further: sends a fourth message to a fourth network device; wherein the fourth message indicates to the fourth network device that the third network device serves as the master network device, and / or management information of a model that needs to be trained when the third network device serves as the master network device.

[0310] In some embodiments, the information transceiver device 1100 further includes: a receiving unit 1103, which receives the trained model and / or related information of the trained model sent by the third network device.

[0311] In some embodiments, the relevant information of the trained model includes at least one of the following information: identification information of the model, network device configuration information applicable to the model, terminal device configuration information applicable to the model, main network device information of the model, and permission information of the model.

[0312] In some embodiments, the sending unit 1102 further: sends the trained model and / or related information of the trained model to the fourth network device.

[0313] In some embodiments, the descriptions of "third message", "fourth message", "fifth message", "sixth message", "third network device", "fourth network device", and "management network element" refer to the relevant descriptions of the embodiments of the third aspect and are not repeated here.

[0314] The above embodiments of the present application are illustrative, but the present application is not limited thereto, and appropriate modifications can be made based on the above embodiments. For example, the above embodiments can be used alone, or one or more of the above embodiments can be combined.

[0315] It is worth noting that the above description only describes the components or modules related to this application, but this application is not limited thereto. The above-mentioned device may also include other components or modules. For the specific content of these components or modules, please refer to the relevant art. In addition, the above-mentioned components or modules can be implemented by hardware facilities such as processors, memories, transmitters, and receivers; the implementation of this application is not limited to this.

[0316] According to the above embodiment, the main network device is determined by the management network element, and model training is performed through the main access network device, thereby avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0317] Embodiments of the ninth aspect

[0318] An embodiment of the present application provides an information sending and receiving device.

[0319] Figure 12 is a schematic diagram of an information transceiver device 1200 according to an embodiment of the present application. This device may be, for example, a third network device, or one or more components or assemblies configured on the third network device. Because the principles for solving the problem of this device are the same as those of the third and fourth aspects, its specific implementation can refer to the implementation of the methods of the third and fourth aspects, and the details of the common content will not be repeated here.

[0320] As shown in FIG12 , the information transceiver device 1200 includes:

[0321] A receiving unit 1201 receives a third message sent by a management network element; wherein the third message indicates that the third network device serves as a master network device, wherein the master network device is used to perform model training;

[0322] The determining unit 1202 determines to perform model training according to the third message.

[0323] In some embodiments, the third message further includes identification information of a fourth network device and / or cell information of the fourth network device, wherein the fourth network device and the third network device have the same network configuration parameters.

[0324] In some embodiments, the third message also includes management information indicating a model that needs to be trained when the third network device acts as a master network device.

[0325] In some embodiments, the information transceiver 1200 includes: a sending unit 1203, which sends the trained model and / or related information of the trained model to the management network element.

[0326] In some embodiments, the sending unit 1203 sends the trained model and / or related information of the trained model to the fourth network device.

[0327] In some embodiments, the sending unit 1203 sends a fifth message to the fourth network device, where the fifth message is used to indicate that the third network device is the master network device, wherein the fourth network device and the third network device have the same network configuration parameters.

[0328] In some embodiments, the fifth message also includes management information for indicating a model that needs to be trained when the third network device acts as a master network device.

[0329] In some embodiments, the receiving unit 1201 receives a sixth message sent by the fourth network device in response to the fifth message.

[0330] In some embodiments, the sixth message includes a confirmation message or a failure message.

[0331] In some embodiments, when the sixth message includes a confirmation message, the sending unit 1203 sends the trained model and / or related information of the trained model to the fourth network device.

[0332] In some embodiments, the relevant information of the trained model includes at least one of the following information: identification information of the model, network device configuration information applicable to the model, terminal device configuration information applicable to the model, main network device information of the model, and permission information of the model.

[0333] In some embodiments, the descriptions of "third message", "fourth message", "fifth message", "sixth message", "third network device", "fourth network device", and "management network element" refer to the relevant descriptions of the embodiments of the third aspect and are not repeated here.

[0334] The above embodiments of the present application are illustrative, but the present application is not limited thereto, and appropriate modifications can be made based on the above embodiments. For example, the above embodiments can be used alone, or one or more of the above embodiments can be combined.

[0335] It is worth noting that the above description only describes the components or modules related to this application, but this application is not limited thereto. The above-mentioned device may also include other components or modules. For the specific content of these components or modules, please refer to the relevant art. In addition, the above-mentioned components or modules can be implemented by hardware facilities such as processors, memories, transmitters, and receivers; the implementation of this application is not limited to this.

[0336] According to the above embodiment, the main network device is determined by the management network element, and model training is performed through the main access network device, thereby avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0337] Embodiments of the tenth aspect

[0338] An embodiment of the present application provides an information sending and receiving device.

[0339] Figure 13 is a schematic diagram of an information transceiver device 1300 according to an embodiment of the present application. This device may be, for example, a fourth network device, or one or more components or assemblies configured on the fourth network device. Since the principles for solving the problem of this device are the same as those of the third, fourth, and fifth aspects, its specific implementation may refer to the implementation of the methods of the third, fourth, and fifth aspects, and the details of the same content will not be repeated.

[0340] As shown in FIG13 , the information transceiver device 1300 includes:

[0341] A receiving unit 1301 receives a fourth message sent by a management network element; wherein the fourth message is used to indicate to the fourth network device that the third network device serves as a master network device, and / or management information of a model that needs to be trained when the third network device serves as a master network device, wherein the master network device is used to perform model training; and the fourth network device and the third network device have the same network configuration parameters.

[0342] In some embodiments, the receiving unit 1301 further receives the trained model and / or related information of the trained model sent by the third network device and / or the fourth network device.

[0343] In some embodiments, the relevant information of the trained model includes at least one of the following information: identification information of the model, network device configuration information applicable to the model, terminal device configuration information applicable to the model, main network device information of the model, and permission information of the model.

[0344] In some embodiments, the receiving unit 1301 receives a fifth message sent by a third network device, where the fifth message is used to indicate that the third network device is a master network device.

[0345] In some embodiments, the fifth message also includes management information for indicating a model that needs to be trained when the third network device acts as a master network device.

[0346] In some embodiments, the information transceiver device 1300 further includes: a sending unit 1302, which sends a sixth message in response to the fifth message to the third network device.

[0347] In some embodiments, the sixth message includes a confirmation message or a failure message.

[0348] In some embodiments, when the sixth message includes a confirmation message, the receiving unit 1301 receives the trained model and / or related information of the trained model sent by the third network device.

[0349] In some embodiments, the descriptions of "third message", "fourth message", "fifth message", "sixth message", "third network device", "fourth network device", and "management network element" refer to the relevant descriptions of the embodiments of the third aspect and are not repeated here.

[0350] The above embodiments of the present application are illustrative, but the present application is not limited thereto, and appropriate modifications can be made based on the above embodiments. For example, the above embodiments can be used alone, or one or more of the above embodiments can be combined.

[0351] It is worth noting that the above description only describes the components or modules related to this application, but this application is not limited thereto. The above-mentioned device may also include other components or modules. For the specific content of these components or modules, please refer to the relevant art. In addition, the above-mentioned components or modules can be implemented by hardware facilities such as processors, memories, transmitters, and receivers; the implementation of this application is not limited to this.

[0352] According to the above embodiment, the main network device is determined by the management network element, and model training is performed through the main access network device, thereby avoiding unnecessary network resource consumption caused by access network devices with the same network configuration parameters each performing model training.

[0353] Embodiment of the eleventh aspect

[0354] An embodiment of the present application also provides a communication system, including a network device.

[0355] Figure 14 is a schematic diagram of a communication system of an embodiment of the present application, which schematically illustrates a situation where multiple network devices are taken as an example. As shown in Figure 14, the communication system 1400 may include a first network device 1401 and a second network device 1402; and / or, the communication system 1400 includes a management network element 1403, a third network device 1404, and a fourth network device 1405.

[0356] In some embodiments, the first network device 1401 is configured to execute the method described in the embodiment of the first aspect. Since the method has been described in detail in the embodiment of the first aspect, its content is incorporated herein and will not be repeated.

[0357] In some embodiments, the second network device 1402 is configured to execute the method described in the embodiment of the second aspect. Since the method has been described in detail in the embodiment of the second aspect, its content is incorporated herein and will not be repeated.

[0358] In some embodiments, the management network element 1403 is configured to execute the method described in the embodiment of the third aspect. Since the method has been described in detail in the embodiment of the second aspect, its content is incorporated herein and will not be repeated.

[0359] In some embodiments, the third network device 1404 is configured to execute the method described in the embodiment of the fourth aspect. Since the method has been described in detail in the embodiment of the second aspect, its content is incorporated herein and will not be repeated.

[0360] In some embodiments, the fourth network device 1405 is configured to execute the method described in the embodiment of the fifth aspect. Since the method has been described in detail in the embodiment of the second aspect, its content is incorporated herein and will not be repeated.

[0361] An embodiment of the present application also provides a network device, which may be, for example, a base station, a CU, or a DU, but the present application is not limited thereto and may also be other network devices.

[0362] Figure 15 is a schematic diagram of a network device according to an embodiment of the present application. As shown in Figure 15 , network device 1500 may include a processor 1501 and a memory 1502 ; the memory 1502 is coupled to the processor 1501 . The memory 1502 may store various data and may also store an information processing program 1503 , which is executed under the control of the processor 1501 .

[0363] In some embodiments, the functions of the apparatus of the embodiments of the first to fifth aspects may be integrated into the processor 1501, wherein the processor 1501 may be configured to execute a program to implement the methods of the embodiments of the first to fifth aspects, the contents of which are incorporated herein and will not be repeated here.

[0364] In other embodiments, the apparatus of the embodiments of the first to fifth aspects may be configured separately from the processor 1501. For example, the apparatus of the embodiments of the first to fifth aspects may be configured as a chip connected to the processor 1501, and the functions of the apparatus of the embodiments of the first to fifth aspects may be realized through the control of the processor 1501.

[0365] Furthermore, as shown in FIG15 , network device 1500 may further include a transceiver 1504 and an antenna 1505. The functions of these components are similar to those in the prior art and are not described in detail here. It is worth noting that network device 1500 does not necessarily include all of the components shown in FIG15 ; furthermore, network device 1500 may also include components not shown in FIG15 , for which reference may be made to the prior art.

[0366] An embodiment of the present application also provides a computer program, wherein when the program is executed in a network device, the program causes the network device to execute the method described in the embodiments of the first to fifth aspects.

[0367] An embodiment of the present application further provides a storage medium storing a computer program, wherein the computer program enables a network device to execute the methods described in the embodiments of the first to fifth aspects.

[0368] 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.

[0369] The method / device described in conjunction with the embodiments of the present application can be directly embodied as hardware, a software module executed by a processor, or a combination of the two. For example, one or more of the functional block diagrams shown in the figure and / or one or more combinations of functional block diagrams can correspond to various software modules of the computer program flow or to various hardware modules. These software modules can respectively correspond to the various steps shown in the figure. These hardware modules can be implemented by solidifying these software modules, for example, using a field programmable gate array (FPGA).

[0370] 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.

[0371] 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 suitable 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.

[0372] 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.

[0373] 1. A method for sending and receiving information, applied to a first network device, wherein the method comprises:

[0374] The first network device sends a first message to the second network device, where the first message includes at least one of the following information:

[0375] first data collection capability information, wherein the first data collection capability information is used to indicate artificial intelligence (AI)-related data collection capability information of the first network device;

[0376] First network configuration information, wherein the first network configuration information is used to indicate current configuration parameters of the first network device;

[0377] first request information, wherein the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and

[0378] The first network device receives a second message sent by the second network device in response to the first message.

[0379] 2. A method for sending and receiving information, applied to a second network device, wherein the method comprises:

[0380] The second network device receives a first message sent by the first network device, wherein the first message includes at least one of the following information:

[0381] first data collection capability information, wherein the first data collection capability information is used to indicate artificial intelligence (AI)-related data collection capability information of the first network device;

[0382] First network configuration information, wherein the first network configuration information is used to indicate current configuration parameters of the first network device;

[0383] first request information, wherein the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and

[0384] The second network device sends a second message in response to the first message to the first network device.

[0385] 3. A method for sending and receiving information, applied to a management network element side, wherein the method comprises:

[0386] The management network element determines a primary network device, where the primary network device is used to perform model training;

[0387] The management network element sends a third message to the third network device; wherein the third message instructs the third network device to serve as the master network device.

[0388] 4. A method for sending and receiving information, applied to a third network device, wherein the method comprises:

[0389] The third network device receives a third message sent by the management network element; wherein the third message indicates that the third network device serves as a master network device, wherein the master network device is used to perform model training;

[0390] The third network device determines to execute model training according to the third message.

[0391] 5. The method according to Appendix 4, wherein the third message further includes management information indicating a model that needs to be trained when the third network device acts as a master network device.

[0392] 6. The method according to Annex 4, further comprising:

[0393] The third network device sends the trained model and / or relevant information of the trained model to the management network element; or

[0394] The third network device sends the trained model and / or relevant information of the trained model to the fourth network device.

[0395] 7. A method for sending and receiving information, applied to a fourth network device, wherein the method comprises:

[0396] The fourth network device receives a fourth message sent by the management network element; wherein the fourth message is used to indicate to the fourth network device that the third network device serves as the master network device, and / or management information of the model that needs to be trained when the third network device serves as the master network device, wherein the master network device is used to perform model training; and

[0397] The fourth network device and the third network device have the same network configuration parameters.

[0398] 8. The method according to Annex 7, further comprising:

[0399] The fourth network device receives the trained model and / or related information of the trained model sent by the third network device, or,

[0400] The fourth network device receives the trained model and / or related information of the trained model sent by the management network element.

[0401] 9. A device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to implement the method as described in any one of Notes 1 to 8.

[0402] 10. A communication system, characterized in that the communication system includes the device described in Note 9.

Claims

1. An information transceiver device, configured on the side of the first network device, wherein, The device includes: A sending unit that sends a first message to a second network device, where the first message includes at least one of the following information: First data collection capability information, where the first data collection capability information is used to indicate the artificial intelligence-related data collection capability information of the first network device; First network configuration information, where the first network configuration information is used to indicate the current configuration parameters of the first network device; First request information, where the first request information is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and A receiving unit that receives a second message sent by the second network device in response to the first message.

2. The device according to claim 1, wherein The first data collection capability information includes at least one of the following information: Artificial intelligence-related data collection indication information; Artificial intelligence-related data collection type information; and Support information for other artificial intelligence-related data collection capabilities.

3. The device according to claim 1, wherein, The first network configuration information includes at least one of the following information: Antenna configuration information of the network device; Beam configuration information of the network device; Coverage configuration information of the network device; and Status information of the network device.

4. The apparatus according to claim 1, wherein, The first message further includes cell information under the first network device and / or distributed unit (DU) identification information.

5. The device according to claim 1, wherein, The second message includes second data collection capability information and / or second network configuration information, where the second data collection capability information is used to indicate the artificial intelligence-related capability information of the second network device, and the second network configuration information is used to indicate the current configuration parameters of the second network device.

6. The device according to claim 5, wherein, The second message further includes cell information under the second network device and / or distributed unit (DU) identification information.

7. The device according to claim 1, wherein, The first request information includes at least one of the following information: Desired network device configuration information; Desired terminal device configuration information; Desired artificial intelligence-related data volume information; Artificial intelligence-related data reporting configuration information; and Desired terminal device information for collecting artificial intelligence-related data.

8. The device according to claim 7, wherein, The desired terminal device configuration information includes at least one of the following information: Speed information of the terminal device; Computing speed information of the terminal device; Serving cell information of the terminal device; and Channel model between the terminal device and the network device.

9. The device according to claim 1, wherein The second message includes an acknowledgment message, and the acknowledgment message includes collected artificial intelligence-related data information; or The second message includes a failure message, and the failure message is used to indicate that the second network device cannot execute all or part of the request for artificial intelligence-related data collection in the first request information.

10. An information transceiver device, configured on the side of a second network device, wherein, The device includes: A receiving unit that receives a first message sent by a first network device, where the first message includes at least one of the following information: First data collection capability information, where the first data collection capability information is used to indicate the artificial intelligence-related data collection capability information of the first network device; First network configuration information, where the first network configuration information is used to indicate the current configuration parameters of the first network device; A first request message, wherein the first request message is used to request the second network device to assist the first network device in performing artificial intelligence-related data collection; and A sending unit that sends a second message in response to the first message to the first network device.

11. An information transceiver device, configured on the management network element side, wherein, The apparatus includes: A determining unit that determines a master network device, where the master network device is used to perform model training; A sending unit that sends a third message to a third network device; wherein, the third message indicates that the third network device is the master network device.

12. The device according to claim 11, wherein, The third message further includes identification information of a fourth network device and / or cell information under the fourth network device, wherein the fourth network device has the same network configuration parameters as the third network device.

13. The apparatus according to claim 12, wherein, The third message further includes management information of a model that needs to be trained when the third network device is used as the master network device.

14. The apparatus according to claim 11, wherein, The sending unit further: Sends a fourth message to the fourth network device; wherein, the fourth message indicates to the fourth network device that the third network device is the master network device, and / or, management information of a model that needs to be trained when the third network device is the master network device.

15. The apparatus according to claim 13, wherein, The apparatus further includes: A receiving unit that receives the trained model and / or related information of the trained model sent by the third network device.

16. The device according to claim 15, wherein, The related information of the trained model includes at least one of the following information: identification information of the model, network device configuration information applicable to the model, terminal device configuration information applicable to the model, master network device information of the model, and permission information of the model.

17. The apparatus according to claim 15, wherein The sending unit further: Sends the trained model and / or the related information of the trained model to the fourth network device.

18. An information sending and receiving device, configured on the third network device side, wherein, The apparatus includes: A receiving unit that receives a third message sent by a management network element; wherein, the third message indicates that the third network device is the master network device, and the master network device is used to perform model training; A determining unit that determines to perform model training according to the third message.

19. The device according to claim 18, wherein, The third message further includes identification information of a fourth network device and / or cell information under the fourth network device, wherein the fourth network device has the same network configuration parameters as the third network device.

20. An information transceiver device, configured on the side of the fourth network device, wherein, The apparatus includes: A receiving unit that receives a fourth message sent by a management network element; wherein, the fourth message is used to indicate to the fourth network device that the third network device is the master network device, and / or, management information of a model that needs to be trained when the third network device is the master network device, and the master network device is used to perform model training, and The fourth network device has the same network configuration parameters as the third network device.

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