WO2025166576A1

WO2025166576A1 - Information transmission method, and apparatus and storage medium

Info

Publication number: WO2025166576A1
Application number: PCT/CN2024/076452
Authority: WO
Inventors: 刘正宣
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2024-02-06
Filing date: 2024-02-06
Publication date: 2025-08-14
Anticipated expiration: 2026-08-06
Also published as: CN120787460A

Abstract

Provided in the present disclosure are an information transmission method, and an apparatus and a storage medium. The method comprises: sending first information to a second device, wherein the first information is at least used for identifying a first artificial intelligence (AI) model and/or a second AI model, the first AI model is used for compressing channel state information (CSI), and the second AI model is used for decompressing the compressed CSI. The present disclosure can achieve the aim of identifying the first AI model and/or the second AI model, and using AI technology improves the reliability and availability of CSI transmission, reduces the feedback overhead of a terminal, and improves the feedback precision of the CSI.

Description

Information transmission method and device, and storage medium

Technical Field

本公开涉及通信领域，尤其涉及信息传输方法及装置、存储介质。The present disclosure relates to the field of communications, and in particular to an information transmission method and device, and a storage medium.

Background Art

目前，可以采用人工智能(Artificial Intelligence,AI)技术，减少终端的反馈开销或提升反馈精度。Currently, artificial intelligence (AI) technology can be used to reduce terminal feedback overhead or improve feedback accuracy.

发明内容Summary of the Invention

为提高AI技术在信息传输过程的可用性和可靠性，本公开实施例提供一种信息传输方法及装置、存储介质。To improve the availability and reliability of AI technology in the information transmission process, the embodiments of the present disclosure provide an information transmission method and device, and a storage medium.

根据本公开实施例的第一方面，提供一种信息传输方法，所述方法由第一设备执行，包括：According to a first aspect of an embodiment of the present disclosure, there is provided an information transmission method, the method being performed by a first device and including:

向第二设备发送第一信息，所述第一信息至少用于识别第一人工智能AI模型和/或第二AI模型，所述第一AI模型用于对信道状态信息CSI进行压缩，所述第二AI模型用于对压缩后的CSI进行解压缩。First information is sent to a second device, where the first information is at least used to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

根据本公开实施例的第二方面，提供一种信息传输方法，所述方法由第二设备执行，包括：According to a second aspect of an embodiment of the present disclosure, there is provided an information transmission method, the method being performed by a second device, including:

接收第一设备发送的第一信息，所述第一信息至少用于识别第一人工智能AI模型和/或第二AI模型，所述第一AI模型用于对信道状态信息CSI进行压缩，所述第二AI模型用于对压缩后的CSI进行解压缩。Receive first information sent by a first device, where the first information is used at least to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

根据本公开实施例的第三方面，提供一种第一设备，包括：According to a third aspect of an embodiment of the present disclosure, there is provided a first device, including:

收发模块，被配置为向第二设备发送第一信息，所述第一信息至少用于识别第一人工智能AI模型和/或第二AI模型，所述第一AI模型用于对信道状态信息CSI进行压缩，所述第二AI模型用于对压缩后的CSI进行解压缩。The transceiver module is configured to send first information to the second device, where the first information is used at least to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

根据本公开实施例的第四方面，提供一种第二设备，包括：According to a fourth aspect of an embodiment of the present disclosure, a second device is provided, including:

收发模块，被配置为接收第一设备发送的第一信息，所述第一信息至少用于识别第一人工智能AI模型和/或第二AI模型，所述第一AI模型用于对信道状态信息CSI进行压缩，所述第二AI模型用于对压缩后的CSI进行解压缩。The transceiver module is configured to receive first information sent by a first device, where the first information is used at least to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

根据本公开实施例的第五方面，提供一种第一设备，包括：According to a fifth aspect of an embodiment of the present disclosure, there is provided a first device, including:

一个或多个处理器；one or more processors;

其中，所述处理器用于执行第一方面任一项所述的信息传输方法。The processor is used to execute the information transmission method described in any one of the first aspects.

根据本公开实施例的第六方面，提供一种第二设备，包括：According to a sixth aspect of an embodiment of the present disclosure, a second device is provided, including:

一个或多个处理器；one or more processors;

其中，所述处理器用于执行第二方面任一项所述的信息传输方法。The processor is used to execute the information transmission method described in any one of the second aspects.

根据本公开实施例的第七方面，提供一种通信系统，包括：According to a seventh aspect of an embodiment of the present disclosure, there is provided a communication system, including:

第一设备，所述第一设备被配置为实现第一方面任一项所述的信息传输方法；A first device, wherein the first device is configured to implement the information transmission method according to any one of the first aspects;

第二设备，所述第二设备被配置为实现第二方面任一项所述的信息传输方法。A second device, wherein the second device is configured to implement the information transmission method described in any one of the second aspects.

根据本公开实施例的第八方面，提供一种存储介质，所述存储介质存储有指令，当所述指令在通信设备上运行时，使得所述通信设备执行如第一方面或第二方面任一项所述的信息传输方法。According to an eighth aspect of an embodiment of the present disclosure, a storage medium is provided, which stores instructions. When the instructions are executed on a communication device, the communication device executes the information transmission method as described in any one of the first aspect or the second aspect.

根据本公开实施例的第九方面，提供一种计算机程序产品，包括计算机程序，该计算机程序被处理器执行时用于实现第一方面或第二方面任一项所述的信息传输方法。According to a ninth aspect of an embodiment of the present disclosure, a computer program product is provided, comprising a computer program, which, when executed by a processor, is used to implement the information transmission method described in any one of the first aspect or the second aspect.

在本公开实施例中，第一设备已经获取第一AI模型和/或第二AI模型后，可以与第二设备进行交互，从而让第二设备识别第一AI模型和/或第二AI模型。其中，第一AI模型用于对信道状态信息CSI进行压缩，所述第二AI模型用于对压缩后的CSI进行解压缩。本公开可以实现识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In an embodiment of the present disclosure, after a first device has acquired the first AI model and/or the second AI model, it can interact with a second device, thereby allowing the second device to identify the first AI model and/or the second AI model. The first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI. The present disclosure can achieve the purpose of identifying the first AI model and/or the second AI model, using AI technology to improve the reliability and availability of CSI transmission, reduce terminal feedback overhead, and improve CSI feedback accuracy.

应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。 It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本发明的实施例，并与说明书一起用于解释本发明的原理。The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

图1A是根据本公开实施例提供的通信系统的架构的一个示例性示意图。FIG1A is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

图1B是根据本公开实施例提供的双边AI模型的一个示例性示意图。FIG1B is an exemplary schematic diagram of a bilateral AI model provided according to an embodiment of the present disclosure.

图2A是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG2A is an exemplary interaction diagram of an information transmission method provided according to an embodiment of the present disclosure.

图2B是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG2B is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图2C是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG2C is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图2D是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG2D is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图2E是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG2E is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图2F是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG2F is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图3A是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG3A is an exemplary interaction diagram of an information transmission method provided according to an embodiment of the present disclosure.

图3B是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG3B is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图4A是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG4A is an exemplary interaction diagram of an information transmission method provided according to an embodiment of the present disclosure.

图4B是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG4B is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图4C是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG4C is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图4D是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG4D is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图4E是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG4E is an exemplary interaction diagram of the information transmission method provided according to an embodiment of the present disclosure.

图4F是根据本公开实施例提供的信息传输方法的一个示例性交互示意图。FIG4F is an exemplary interaction diagram of an information transmission method provided according to an embodiment of the present disclosure.

图5A是根据本公开实施例提供的第一设备的一个示例性框图。FIG5A is an exemplary block diagram of a first device according to an embodiment of the present disclosure.

图5B是根据本公开实施例提供的第二设备的一个示例性框图。FIG5B is an exemplary block diagram of a second device provided according to an embodiment of the present disclosure.

图6A是根据本公开实施例提供的通信设备的一个示例性交互示意图。FIG6A is a schematic diagram of an exemplary interaction of a communication device according to an embodiment of the present disclosure.

图6B是根据本公开实施例提供的芯片的一个示例性交互示意图。FIG6B is an exemplary interaction diagram of a chip provided according to an embodiment of the present disclosure.

DETAILED DESCRIPTION

这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本发明相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本发明的一些方面相一致的装置和方法的例子。Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

本公开实施例提出了一种信息传输方法及装置、存储介质。The embodiments of the present disclosure provide an information transmission method, an information transmission device, and a storage medium.

第一方面，本公开实施例提出了一种信息传输方法，方法由第一设备执行，包括：In a first aspect, an embodiment of the present disclosure provides an information transmission method, which is performed by a first device and includes:

上述实施例中，第一设备可以向第二设备发送第一信息，第一信息至少可以用于识别第一AI模型和/或第二AI模型，其中，第一AI模型用于对信道状态信息CSI进行压缩，所述第二AI模型用于对压缩后的CSI进行解压缩。本公开可以实现识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the first device may send first information to the second device. The first information may be used to identify at least a first AI model and/or a second AI model. The first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI. The present disclosure can achieve the purpose of identifying the first AI model and/or the second AI model, using AI technology to improve the reliability and availability of CSI transmission, reduce terminal feedback overhead, and improve CSI feedback accuracy.

结合第一方面的一些实施例，在一些实施例中，所述方法还包括：In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

所述第二设备为终端，接收所述第二设备发送的能力指示信息，所述能力指示信息用于指示所述第二设备所支持的AI模型能力；The second device is a terminal, and receives capability indication information sent by the second device, where the capability indication information is used to indicate AI model capabilities supported by the second device;

所述向第二设备发送第一信息，包括：The sending the first information to the second device includes:

所述能力指示信息指示所述第二设备支持所述第一AI模型和/或所述第二AI模型，向所述第二设备发送所述第一信息。The capability indication information indicates that the second device supports the first AI model and/or the second AI model, and the first information is sent to the second device.

上述实施例中，第二设备为终端时，第一设备可以接收第二设备上报的能力指示信息，并基于能力指示信息确定第二设备支持支持所述第一AI模型和/或所述第二AI模型时，向所述第二设备发送所述第一信息。实现了基于终端能力，为终端提供第一信息的目的，可用性高。In the above embodiment, when the second device is a terminal, the first device can receive capability indication information reported by the second device and, upon determining based on the capability indication information that the second device supports the first AI model and/or the second AI model, send the first information to the second device. This achieves the purpose of providing the terminal with the first information based on the terminal's capabilities, and provides high availability.

结合第一方面的一些实施例，在一些实施例中，所述能力指示信息包括以下至少一项：In conjunction with some embodiments of the first aspect, in some embodiments, the capability indication information includes at least one of the following:

所述第二设备所支持的AI模型标识；an AI model identifier supported by the second device;

所述第二设备所支持的AI模型结构。 The AI model structure supported by the second device.

上述实施例中，能力指示信息可以用于指示上述至少一项，从而将终端支持AI模型的能力告知网络设备，以便网络设备确定是否为终端提供第一信息，提高了AI模型识别的可靠性。In the above embodiment, the capability indication information can be used to indicate at least one of the above items, thereby informing the network device of the terminal's ability to support the AI model, so that the network device determines whether to provide the first information to the terminal, thereby improving the reliability of AI model recognition.

所述第二设备为终端，向所述第二设备发送第二信息，所述第二信息用于所述第二设备确定是否能够识别所述第一AI模型和/或所述第二AI模型，并在能够识别时确定接收所述第一信息。The second device is a terminal, and second information is sent to the second device. The second information is used by the second device to determine whether it can recognize the first AI model and/or the second AI model, and determine to receive the first information when it can be recognized.

上述实施例中，网络设备可以先发送第二信息给终端，终端如果基于第二信息确定能够识别所述第一AI模型和/或所述第二AI模型，再接收第一信息。避免浪费信令资源，可用性高。In the above embodiment, the network device may first send the second information to the terminal. If the terminal determines that it can recognize the first AI model and/or the second AI model based on the second information, it then receives the first information. This avoids wasting signaling resources and improves availability.

结合第一方面的一些实施例，在一些实施例中，所述第二信息中包括以下至少一项：In conjunction with some embodiments of the first aspect, in some embodiments, the second information includes at least one of the following:

所述第一AI模型；the first AI model;

所述第二AI模型；the second AI model;

训练数据集，所述训练数据集是用于训练所述第一AI模型和/或所述第二AI模型的数据集；A training dataset, where the training dataset is a dataset used to train the first AI model and/or the second AI model;

配置参数，所述配置参数与所述第一AI模型和/或所述第二AI模型对应；Configuration parameters, where the configuration parameters correspond to the first AI model and/or the second AI model;

模型标识，所述模型标识用于标识所述第一AI模型和/或所述第二AI模型。A model identifier, where the model identifier is used to identify the first AI model and/or the second AI model.

上述实施例中，第二信息可以包括但不限于以上至少一项，实现简便，可用性高。In the above embodiment, the second information may include but is not limited to at least one of the above items, which is easy to implement and has high usability.

接收所述第二设备发送的第一指示信息，所述第一指示信息用于指示所述第二设备确定接收所述第一信息；receiving first indication information sent by the second device, where the first indication information is used to instruct the second device to determine to receive the first information;

基于所述第一指示信息，向所述第二设备发送所述第一信息。Based on the first indication information, the first information is sent to the second device.

上述实施例中，终端基于第二信息确定能够识别第一AI模型和/或第二AI模型时，可以向网络设备发送第一指示信息，以便网络设备基于第一指示信息向终端发送该第一信息，可以有针对性的传输第一信息，可用性高。In the above embodiment, when the terminal determines that it can identify the first AI model and/or the second AI model based on the second information, it can send first indication information to the network device, so that the network device sends the first information to the terminal based on the first indication information. The first information can be transmitted in a targeted manner with high availability.

向所述第二设备发送第二指示信息，所述第二指示信息用于指示所述第二设备发送辅助信息，所述辅助信息用于辅助所述第一设备确定是否向所述第二设备发送所述第一信息；Sending second indication information to the second device, where the second indication information is used to instruct the second device to send auxiliary information, where the auxiliary information is used to assist the first device in determining whether to send the first information to the second device;

接收所述第二设备基于所述第二指示信息发送的所述辅助信息；receiving the auxiliary information sent by the second device based on the second indication information;

基于所述辅助信息，确定是否向所述第二设备发送所述第一信息。Based on the auxiliary information, it is determined whether to send the first information to the second device.

上述实施例中，第一设备可以基于第二设备发送的辅助信息，确定是否向第二设备发送该第一信息，提高第一AI模型和/或第二AI模型识别的可靠性。In the above embodiment, the first device may determine whether to send the first information to the second device based on the auxiliary information sent by the second device, thereby improving the reliability of recognition of the first AI model and/or the second AI model.

接收所述第二设备发送的辅助信息和/或第三指示信息，所述辅助信息用于辅助所述第一设备确定是否向所述第二设备发送所述第一信息，所述第三指示信息用于指示所述第一设备向所述第二设备发送所述第一信息；receiving auxiliary information and/or third indication information sent by the second device, where the auxiliary information is used to assist the first device in determining whether to send the first information to the second device, and the third indication information is used to instruct the first device to send the first information to the second device;

基于所述辅助信息和/或所述第三指示信息，确定是否向所述第二设备发送所述第一信息。Based on the auxiliary information and/or the third indication information, determine whether to send the first information to the second device.

上述实施例中，第二设备可以主动发起模型识别过程，实现识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the second device can actively initiate a model recognition process to achieve the purpose of identifying the first AI model and/or the second AI model. The use of AI technology improves the reliability and availability of CSI transmission, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

结合第一方面的一些实施例，在一些实施例中，所述辅助信息包括以下至少一项：In conjunction with some embodiments of the first aspect, in some embodiments, the auxiliary information includes at least one of the following:

信道场景信息；Channel scenario information;

所述第二设备的移动性信息；mobility information of the second device;

所述第二设备的软件参数信息；software parameter information of the second device;

所述第二设备的硬件参数信息。Hardware parameter information of the second device.

上述实施例中，辅助信息可以包括但不限于以上至少一项，辅助第一设备确定是否向所述第二设备发送所述第一信息，提高了第一信息传输的可靠性。In the above embodiment, the auxiliary information may include but is not limited to at least one of the above items, which assists the first device in determining whether to send the first information to the second device, thereby improving the reliability of the transmission of the first information.

结合第一方面的一些实施例，在一些实施例中，所述第一信息包括以下至少一项：In conjunction with some embodiments of the first aspect, in some embodiments, the first information includes at least one of the following:

模型标识，所述模型标识用于标识所述第一AI模型和/或所述第二AI模型；a model identifier, where the model identifier is used to identify the first AI model and/or the second AI model;

所述第一AI模型；the first AI model;

所述第二AI模型；the second AI model;

训练数据集，所述训练数据集是用于训练所述第一AI模型和/或所述第二AI模型的数据集。A training data set, where the training data set is a data set used to train the first AI model and/or the second AI model.

上述实施例中，第一信息可以包括但不限于以上至少一项，从而使得第二设备可以基于第一信息识别第一AI模型和/或第二AI模型，实现了AI模型识别的目的。且采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiments, the first information may include, but is not limited to, at least one of the above items. This allows the second device to identify the first AI model and/or the second AI model based on the first information, thereby achieving AI model identification. Furthermore, the use of AI technology improves the reliability and availability of CSI transmission, reduces terminal feedback overhead, and improves the accuracy of CSI feedback.

结合第一方面的一些实施例，在一些实施例中，所述模型标识包括以下至少一项： In conjunction with some embodiments of the first aspect, in some embodiments, the model identification includes at least one of the following:

第一AI模型标识；First AI model identification;

第二AI模型标识；Second AI model identification;

更新后的第一AI模型标识；The updated first AI model identifier;

更新后的第二AI模型标识；Updated second AI model identifier;

配对标识，所述配对标识用于标识一个所述第一AI模型和一个所述第二AI模型之间的配对；a pairing identifier, where the pairing identifier is used to identify a pairing between the first AI model and the second AI model;

训练会话标识，所述训练会话标识与所述第一AI模型和/或所述第二AI模型关联；a training session identifier, the training session identifier being associated with the first AI model and/or the second AI model;

训练数据集标识，所述训练数据集标识与所述第一AI模型和/或所述第二AI模型关联。A training data set identifier, where the training data set identifier is associated with the first AI model and/or the second AI model.

上述实施例中，本公开中的AI模型可以通过上述至少一项来标识，实现简便，可用性高。In the above embodiments, the AI model in the present disclosure can be identified by at least one of the above items, which is simple to implement and has high usability.

第二方面，本公开实施例提出了一种信息传输方法，所述方法由第二设备执行，包括：In a second aspect, an embodiment of the present disclosure provides an information transmission method, which is performed by a second device and includes:

上述实施例中，可以基于第一信息识别第一AI模型和/或第二AI模型，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the first AI model and/or the second AI model can be identified based on the first information, and the use of AI technology improves the reliability and availability of CSI transmission, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

结合第二方面的一些实施例，在一些实施例中，所述方法还包括：In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

所述第二设备为终端，向所述第一设备发送能力指示信息，所述能力指示信息用于指示所述第二设备所支持的AI模型能力。The second device is a terminal, which sends capability indication information to the first device, where the capability indication information is used to indicate the AI model capabilities supported by the second device.

结合第二方面的一些实施例，在一些实施例中，所述能力指示信息包括以下至少一项：In conjunction with some embodiments of the second aspect, in some embodiments, the capability indication information includes at least one of the following:

所述第二设备支持的模型标识；Model identifiers supported by the second device;

所述第二设备支持的模型结构。A model structure supported by the second device.

所述第二设备为终端，接收所述第一设备发送的第二信息，所述第二信息用于所述第二设备确定是否能够识别所述第一AI模型和/或所述第二AI模型，并在能够识别时确定接收所述第一信息。The second device is a terminal, which receives second information sent by the first device. The second information is used by the second device to determine whether it can recognize the first AI model and/or the second AI model, and determine to receive the first information when it can be recognized.

结合第二方面的一些实施例，在一些实施例中，所述第二信息中包括以下至少一项：In conjunction with some embodiments of the second aspect, in some embodiments, the second information includes at least one of the following:

所述第一AI模型；the first AI model;

所述第二AI模型；the second AI model;

结合第二方面的一些实施例，在一些实施例中，所述方法还包括以下任一项：In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes any one of the following:

所述第二信息中包括所述训练数据集，确定能够识别所述第一AI模型和/或所述第二AI模型；The second information includes the training data set, and determines that the first AI model and/or the second AI model can be identified;

支持所述第二信息中包括的所述第一AI模型和/或所述第二AI模型，确定能够识别所述第一AI模型和/或所述第二AI模型；supporting the first AI model and/or the second AI model included in the second information, and determining that the first AI model and/or the second AI model can be recognized;

不支持所述第二信息中包括的所述第一AI模型和/或所述第二AI模型，确定无法识别所述第一AI模型和/或所述第二AI模型。The first AI model and/or the second AI model included in the second information is not supported, and it is determined that the first AI model and/or the second AI model cannot be identified.

确定能够识别所述第一AI模型和/或所述第二AI模型，向所述第一设备发送第一指示信息，所述第一指示信息用于指示所述第二设备确定接收所述第一信息。Determine that the first AI model and/or the second AI model can be recognized, and send first indication information to the first device, where the first indication information is used to instruct the second device to determine to receive the first information.

接收所述第一设备发送的第二指示信息，所述第二指示信息用于指示所述第二设备发送辅助信息，所述辅助信息用于辅助所述第一设备确定是否向所述第二设备发送所述第一信息；receiving second indication information sent by the first device, where the second indication information is used to instruct the second device to send auxiliary information, where the auxiliary information is used to assist the first device in determining whether to send the first information to the second device;

基于所述第二指示信息，向所述第一设备发送所述辅助信息。Based on the second indication information, the auxiliary information is sent to the first device.

向所述第一设备发送辅助信息和/或第三指示信息，所述辅助信息用于辅助所述第一设备确定是否向所述第二设备发送所述第一信息，所述第三指示信息用于指示所述第一设备向所述第二设备发送所述第一信息。Auxiliary information and/or third indication information are sent to the first device, where the auxiliary information is used to assist the first device in determining whether to send the first information to the second device, and the third indication information is used to instruct the first device to send the first information to the second device.

结合第二方面的一些实施例，在一些实施例中，所述辅助信息包括以下至少一项：In conjunction with some embodiments of the second aspect, in some embodiments, the auxiliary information includes at least one of the following:

信道场景信息；Channel scenario information;

结合第二方面的一些实施例，在一些实施例中，所述第一信息包括以下至少一项： In conjunction with some embodiments of the second aspect, in some embodiments, the first information includes at least one of the following:

所述第一AI模型；the first AI model;

所述第二AI模型；the second AI model;

结合第二方面的一些实施例，在一些实施例中，所述模型标识包括以下至少一项：In conjunction with some embodiments of the second aspect, in some embodiments, the model identifier includes at least one of the following:

第一AI模型标识；First AI model identification;

第二AI模型标识；Second AI model identification;

更新后的第一AI模型标识；Updated first AI model identification;

更新后的第二AI模型标识；Updated second AI model identifier;

第三方面，本公开实施例提出了一种第一设备，包括：In a third aspect, an embodiment of the present disclosure provides a first device, including:

第四方面，本公开实施例提出了一种第二设备，包括：In a fourth aspect, an embodiment of the present disclosure provides a second device, including:

第五方面，本公开实施例提出了一种第一设备，包括：In a fifth aspect, an embodiment of the present disclosure provides a first device, including:

一个或多个处理器；one or more processors;

第六方面，本公开实施例提出了一种第二设备，包括：In a sixth aspect, an embodiment of the present disclosure provides a second device, including:

一个或多个处理器；one or more processors;

第七方面，本公开实施例提出了一种通信系统，包括：In a seventh aspect, an embodiment of the present disclosure provides a communication system, including:

第八方面，本公开实施例提出了一种存储介质，所述存储介质存储有指令，当所述指令在通信设备上运行时，使得所述通信设备执行如第一方面或第二方面任一项所述的信息传输方法。In an eighth aspect, an embodiment of the present disclosure proposes a storage medium storing instructions. When the instructions are executed on a communication device, the communication device executes the information transmission method as described in any one of the first aspect or the second aspect.

第九方面，本公开实施例提出了一种计算机程序产品，包括计算机程序，该计算机程序被处理器执行时用于实现第一方面或第二方面中任一项所述的信息传输方法。In a ninth aspect, an embodiment of the present disclosure proposes a computer program product, comprising a computer program, which, when executed by a processor, is used to implement the information transmission method described in any one of the first aspect or the second aspect.

可以理解地，上述第一设备、第二设备、通信系统、存储介质、计算机程序均用于执行本公开实施例所提出的方法。因此，其所能达到的有益效果可以参考对应方法中的有益效果，此处不再赘述。It is understandable that the first device, the second device, the communication system, the storage medium, and the computer program are all used to execute the method proposed in the embodiment of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding method and will not be repeated here.

本公开实施例提出了信息传输方法及装置、存储介质。在一些实施例中，信息传输方法与信息处理方法、通信方法等术语可以相互替换，信息传输装置与信息处理装置、通信装置等术语可以相互替换，信息处理系统、通信系统等术语可以相互替换。The present disclosure provides an information transmission method, apparatus, and storage medium. In some embodiments, the terms "information transmission method," "information processing method," and "communication method" are interchangeable; the terms "information transmission apparatus," "information processing apparatus," and "communication apparatus" are interchangeable; and the terms "information processing system," "communication system," and "communication system" are interchangeable.

本公开实施例并非穷举，仅为部分实施例的示意，不作为对本公开保护范围的具体限制。在不矛盾的情况下，某一实施例中的每个步骤均可以作为独立实施例来实施，且各步骤之间可以任意组合，例如，在某一实施例中去除部分步骤后的方案也可以作为独立实施例来实施，且在某一实施例中各步骤的顺序可以任意交换，另外，某一实施例中的可选实现方式可以任意组合；此外，各实施例之间可以任意组合，例如，不同实施例的部分或全部步骤可以任意组合，某一实施例可以与其他实施例的可选实现方式任意组合。The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

在各本公开实施例中，如果没有特殊说明以及逻辑冲突，各实施例之间的术语和/或描述具有一致性，且可以互相引用，不同实施例中的技术特征根据其内在的逻辑关系可以组合形成新的实施例。In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and/or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

本公开实施例中所使用的术语只是为了描述特定实施例的目的，而并非作为对本公开的限制。The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

在本公开实施例中，除非另有说明，以单数形式表示的元素，如“一个”、“一种”、“该”、“上述”、“”、“前述”、“这一”等，可以表示“一个且只有一个”，也可以表示“一个或多个”、“至少一个”等。例如，在翻译中使用如英语中的“a”、“an”、“the”等冠词(article)的情况下，冠词之后的名词可以理解为单数表达形式，也可以理解为复数表达形式。 In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when articles such as "a", "an", "the" in English are used in translation, the noun following the article may be understood as a singular expression or a plural expression.

在本公开实施例中，“多个”是指两个或两个以上。In the embodiments of the present disclosure, “plurality” refers to two or more.

在一些实施例中，“至少一者(至少一项、至少一个)(at least one of)”、“一个或多个(one or more)”、“多个(a plurality of)”、“多个(multiple)等术语可以相互替换。In some embodiments, the terms "at least one of", "one or more", "a plurality of", "multiple", etc. can be used interchangeably.

在一些实施例中，“A、B中的至少一者”、“A和/或B”、“在一情况下A，在另一情况下B”、“响应于一情况A，响应于另一情况B”等记载方式，根据情况可以包括以下技术方案：在一些实施例中A(与B无关地执行A)；在一些实施例中B(与A无关地执行B)；在一些实施例中从A和B中选择执行(A和B被选择性执行)；在一些实施例中A和B(A和B都被执行)。当有A、B、C等更多分支时也类似上述。In some embodiments, descriptions such as "at least one of A and B," "A and/or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

在一些实施例中，“A或B”等记载方式，根据情况可以包括以下技术方案：在一些实施例中A(与B无关地执行A)；在一些实施例中B(与A无关地执行B)；在一些实施例中从A和B中选择执行(A和B被选择性执行)。当有A、B、C等更多分支时也类似上述。In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

本公开实施例中的“第一”、“第二”等前缀词，仅仅为了区分不同的描述对象，不对描述对象的位置、顺序、优先级、数量或内容等构成限制，对描述对象的陈述参见权利要求或实施例中上下文的描述，不应因为使用前缀词而构成多余的限制。例如，描述对象为“字段”，则“第一字段”和“第二字段”中“字段”之前的序数词并不限制“字段”之间的位置或顺序，“第一”和“第二”并不限制其修饰的“字段”是否在同一个消息中，也不限制“第一字段”和“第二字段”的先后顺序。再如，描述对象为“等级”，则“第一等级”和“第二等级”中“等级”之前的序数词并不限制“等级”之间的优先级。再如，描述对象的数量并不受序数词的限制，可以是一个或者多个，以“第一装置”为例，其中“装置”的数量可以是一个或者多个。此外，不同前缀词修饰的对象可以相同或不同，例如，描述对象为“装置”，则“第一装置”和“第二装置”可以是相同的装置或者不同的装置，其类型可以相同或不同；再如，描述对象为“信息”，则“第一信息”和“第二信息”可以是相同的信息或者不同的信息，其内容可以相同或不同。The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

在一些实施例中，“包括A”、“包含A”、“用于指示A”、“携带A”，可以解释为直接携带A，也可以解释为间接指示A。In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

在一些实施例中，装置和设备可以解释为实体的、也可以解释为虚拟的，其名称不限定于实施例中所记载的名称，在一些情况下也可以被理解为“设备(equipment)”、“设备(device)”、“电路”、“网元”、“节点”、“功能”、“单元”、“部件(section)”、“系统”、“网络”、“实体”、“主体”等。In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "entity", "subject", etc.

在一些实施例中，获取数据、信息等可以遵照所在地国家的法律法规。In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

在一些实施例中，可以在得到用户同意后获取数据、信息等。In some embodiments, data, information, etc. may be obtained with the user's consent.

此外，本公开实施例的表格中的每一元素、每一行、或每一列均可以作为独立实施例来实施，任意元素、任意行、任意列的组合也可以作为独立实施例来实施。In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

图1A是根据本公开实施例示出的通信系统的架构示意图。FIG1A is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

如图1A所示，通信系统100包括第一设备(terminal)101、第二设备102。As shown in FIG1A , a communication system 100 includes a first device (terminal) 101 and a second device 102 .

在一些实施例中，第一设备101可以是已经获得了第一AI模型和/或第二AI模型的设备，其中，第一AI模型用于对信道状态信息(Channel State Information，CSI)进行压缩，第二AI模型用于对压缩后的CSI进行解压缩。In some embodiments, the first device 101 may be a device that has obtained a first AI model and/or a second AI model, wherein the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

在一个示例中，第一设备101可以是网络设备或终端。In one example, the first device 101 may be a network device or a terminal.

在一些实施例中，第二设备102可以是第一设备101的对端设备，且第二设备102还未获得第一AI模型和/或第二AI模型。In some embodiments, the second device 102 may be a peer device of the first device 101 , and the second device 102 has not yet obtained the first AI model and/or the second AI model.

在一个示例中，第一设备101为网络设备时，第二设备102可以为终端。In one example, when the first device 101 is a network device, the second device 102 may be a terminal.

在一个示例中，第一设备101为终端时，第二设备102可以为网络设备。In one example, when the first device 101 is a terminal, the second device 102 may be a network device.

在一些实施例中，上述的终端例如包括手机(mobile phone)、可穿戴设备、物联网设备、具备通信功能的汽车、智能汽车、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(virtual reality，VR)终端设备、增强现实(augmented reality，AR)终端设备、工业控制(industrial control)中的无线终端设备、无人驾驶(self-driving)中的无线终端设备、远程手术(remote medical surgery)中的无线终端设备、智能电网(smart grid)中的无线终端设备、运输安全(transportation safety)中的无线终端设备、智慧城市(smart city)中的无线终端设备、智慧家庭(smart home)中的无线终端设备中的至少一者，但不限于此。In some embodiments, the above-mentioned terminals include, for example, mobile phones, wearable devices, Internet of Things devices, cars with communication functions, smart cars, tablet computers, computers with wireless transceiver functions, virtual reality (VR) terminal devices, augmented reality (AR) terminal devices, wireless terminal devices in industrial control, wireless terminal devices in self-driving, wireless terminal devices in remote medical surgery, wireless terminal devices in smart grids, wireless terminal devices in transportation safety, wireless terminal devices in smart cities, and wireless terminal devices in smart homes. At least one of these, but not limited to these.

在一些实施例中，网络设备可以包括接入网设备，例如是将终端接入到无线网络的节点或设备，接入网设备可以包括5G通信系统中的演进节点B(evolved NodeB，eNB)、下一代演进节点B(next generation eNB，ng-eNB)、下一代节点B(next generation NodeB，gNB)、节点B(node B，NB)、家庭节点B(home node B，HNB)、家庭演进节点B(home evolved nodeB，HeNB)、无线回传设备、无线网络控制器(radio network controller，RNC)、基站控制器(base station controller，BSC)、基站收发台(base transceiver station，BTS)、基带单元(base band unit，BBU)、移动交换中心、6G通信系统中的基站、开放型基站(Open RAN)、云基站(Cloud RAN)、其他通信系统中的基站、Wi-Fi系统中的接入节点中的至少一者，但不限于此。In some embodiments, the network device may include an access network device, such as a node or device that connects a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a NodeB (NB), a home nodeB (HNB), a home evolved nodeB (HeNB), a wireless At least one of a backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open RAN, a cloud RAN, a base station in other communication systems, and an access node in a Wi-Fi system, but not limited thereto.

在一些实施例中，本公开的技术方案可适用于Open RAN架构，此时，本公开实施例所涉及的接入网设备间或者接入网设备内的接口可变为Open RAN的内部接口，这些内部接口之间的流程和信息交互可以通过软件或者程序实现。In some embodiments, the technical solution of the present disclosure may be applicable to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure may become internal interfaces of Open RAN, and the processes and information interactions between these internal interfaces may be implemented through software or programs.

在一些实施例中，接入网设备可以由集中单元(central unit，CU)与分布式单元(distributed unit，DU)组成的，其中，CU也可以称为控制单元(control unit)，采用CU-DU的结构可以将接入网设备的协议层拆分开，部分协议层的功能放在CU集中控制，剩下部分或全部协议层的功能分布在DU中，由CU集中控制DU，但不限于此。In some embodiments, the access network device may be composed of a centralized unit (CU) and a distributed unit (DU), where the CU may also be called a control unit. The CU-DU structure may be used to split the protocol layers of the access network device, with some functions of the protocol layers centrally controlled by the CU, and the remaining functions of some or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

在一些实施例中，上述的网络设备可以包括核心网设备，核心网设备可以是一个设备，也可以是多个设备或设备群。网元可以是虚拟的，也可以是实体的。核心网例如包括演进分组核心(Evolved Packet Core，EPC)、5G核心网络(5G Core Network，5GCN)、下一代核心(Next Generation Core，NGC)中的至少一者。In some embodiments, the aforementioned network devices may include core network devices, which may be a single device, multiple devices, or a group of devices. A network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), or a Next Generation Core (NGC).

在一些实施例中，上述的网络设备可以包括接入网设备和核心网设备。In some embodiments, the aforementioned network devices may include access network devices and core network devices.

在一些实施例中，终端可以通过接入网设备接入核心网设备。In some embodiments, the terminal can access the core network device through the access network device.

可以理解的是，本公开实施例描述的通信系统是为了更加清楚的说明本公开实施例的技术方案，并不构成对于本公开实施例提出的技术方案的限定，本领域普通技术人员可知，随着系统架构的演变和新业务场景的出现，本公开实施例提出的技术方案对于类似的技术问题同样适用。It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

下述本公开实施例可以应用于图1A所示的通信系统100、或部分主体，但不限于此。图1A所示的各主体是例示，通信系统可以包括图1A中的全部或部分主体，也可以包括图1A以外的其他主体，各主体数量和形态为任意，各主体可以是实体的也可以是虚拟的，各主体之间的连接关系是例示，各主体之间可以不连接也可以连接，其连接可以是任意方式，可以是直接连接也可以是间接连接，可以是有线连接也可以是无线连接。The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1A , or a portion thereof, but are not limited thereto. The entities shown in FIG1A are illustrative only. The communication system may include all or part of the entities shown in FIG1A , or may include other entities other than those shown in FIG1A . The number and form of the entities may be arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

本公开各实施例可以应用于长期演进(Long Term Evolution，LTE)、LTE-Advanced(LTE-A)、LTE-Beyond(LTE-B)、SUPER 3G、IMT-Advanced、第四代移动通信系统(4th generation mobile communication system，4G)、)、第五代移动通信系统(5th generation mobile communication system，5G)、5G新空口(new radio，NR)、未来无线接入(Future Radio Access，FRA)、新无线接入技术(New-Radio Access Technology，RAT)、新无线(New Radio，NR)、新无线接入(New radio access，NX)、未来一代无线接入(Future generation radio access，FX)、Global System for Mobile communications(GSM(注册商标))、CDMA2000、超移动宽带(Ultra Mobile Broadband，UMB)、IEEE 802.11(Wi-Fi(注册商标))、IEEE 802.16(WiMAX(注册商标))、IEEE 802.20、超宽带(Ultra-WideBand，UWB)、蓝牙(Bluetooth(注册商标))、陆上公用移动通信网(Public Land Mobile Network，PLMN)网络、利用其他通信方法的系统、基于它们而扩展的下一代系统等。此外，也可以将多个系统组合(例如，LTE或者LTE-A与5G的组合等)应用。The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, the fourth generation mobile communication system (4G), the fifth generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New Radio Access Technology (RAT), New Radio (NR), New Radio Access (NR-5G), and the like. The following technologies are used for the communication of wireless networks: IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20 (Ultra-WideBand (UWB), Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) networks, systems using other communication methods, and next-generation systems based on these systems. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G) for application.

目前，可以通过双边AI/机器学习(Machine Learning,ML)模型分别在终端侧和网络设备侧实现CSI的压缩反馈和CSI的恢复。Currently, CSI compression feedback and CSI recovery can be achieved on the terminal side and network device side respectively through bilateral AI/machine learning (ML) models.

例如图1B所示，给出了一种基于双边AI/ML模型实现CSI压缩反馈和恢复的示意图。其中，终端侧通过CSI生成部分模型把下行信道信息H压缩后通过量化为二进制比特流发送给网络设备，网络设备侧通过CSI恢复部分模型恢复出与原来下行信息近似的H’。For example, Figure 1B shows a schematic diagram of CSI compression feedback and recovery based on a bilateral AI/ML model. The terminal compresses the downlink channel information H using the CSI generation model, quantizes it into a binary bit stream, and sends it to the network device. The network device then recovers H', which is approximately the original downlink information, using the CSI recovery model.

在一些实施例中，可以将一个CSI生成部分模型表示为编码器(Encoder)，将一个CSI恢复部分模型表示为解码器(Decoder)。Encoder和Decoder model的训练方法如表1所示。In some embodiments, a CSI generation model can be represented as an encoder, and a CSI recovery model can be represented as a decoder. The training methods for the encoder and decoder models are shown in Table 1.

表1，Encoder和Decoder训练方法
Table 1. Encoder and Decoder training methods

对于表1中的方法3和方法4，通过引入一个训练会话标识(Identifier，ID)表示训练的Encoder/Decoder模型(model)。对于方法5和方法6，可通过引入一个数据集标识(dataset ID)表示训练的Encoder/Decoder模型。For methods 3 and 4 in Table 1, a training session identifier (ID) is introduced to represent the trained encoder/decoder model. For methods 5 and 6, a dataset identifier (dataset ID) is introduced to represent the trained encoder/decoder model.

由于双边模型要分别部署在终端侧和网络设备侧，当部署了很多个Encoder和Decoder model时还需要保证Encoder和Decoder是匹配成对的，否则将导致模型推理性能下降。Since the bilateral model needs to be deployed on the terminal side and the network device side respectively, when many Encoder and Decoder models are deployed, it is also necessary to ensure that the Encoder and Decoder are matched in pairs, otherwise the model inference performance will deteriorate.

在一些实施例中，在模型推理之前可以先识别相应的模型，模型的识别方式包含以下任一种：In some embodiments, a corresponding model may be identified before model inference. The model identification method includes any of the following:

类型A(Type A)，通过离线的方式实现对网络设备和终端侧的模型识别。Type A: realizes model recognition of network devices and terminals in an offline manner.

在基于离线方式识别模型期间，相应的模型可分配对应的模型标识(Model ID)。During the offline model identification process, the corresponding model can be assigned a corresponding model ID.

类型B(Type B)，通过空口信令的方式实现模型识别。具体地，可划分为以下两种：Type B implements model recognition through air interface signaling. Specifically, it can be divided into the following two types:

Type B1，终端主动发起模型识别，网络设备可辅助完成模型识别的剩余步骤。Type B1: The terminal actively initiates model recognition, and the network device can assist in completing the remaining steps of model recognition.

其中，在模型识别期间，相应的模型可分配对应的Model ID。During model recognition, the corresponding model can be assigned a corresponding Model ID.

Type B2，网络设备主动发起模型识别，终端可辅助完成模型识别的剩余步骤。Type B2: The network device actively initiates model recognition, and the terminal can assist in completing the remaining steps of model recognition.

本公开提供了以下信息传输方法及装置、存储介质，实现识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。The present disclosure provides the following information transmission method, device, and storage medium to achieve the purpose of identifying a first AI model and/or a second AI model. The use of AI technology improves the reliability and availability of CSI transmission, reduces terminal feedback overhead, and improves CSI feedback accuracy.

下面以第一设备101为网络设备，第二设备102为终端为例，介绍本公开提供的信息传输方法。还需要说明的是，本公开实施例中，是以CSI为例描述识别对应的AI模型的，可以通过AI技术进行处理或识别的其他信息也应属于本公开的保护方案。The following describes the information transmission method provided by the present disclosure, taking the first device 101 as a network device and the second device 102 as a terminal as an example. It should also be noted that in the embodiments of the present disclosure, CSI is used as an example to describe the identification of the corresponding AI model. Other information that can be processed or identified using AI technology should also fall within the protection scheme of the present disclosure.

图2A是根据本公开实施例示出的信息传输方法的交互示意图。如图2A所示，本公开实施例涉及信息传输方法，上述方法包括：FIG2A is an interactive diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2A , the present disclosure embodiment relates to an information transmission method, which includes:

步骤S2101，第二设备102向第一设备101发送能力指示信息。Step S2101 : The second device 102 sends capability indication information to the first device 101 .

在一些实施例中，第一设备101为已经获取了第一AI模型和/或第二AI模型的设备。其中，所述第一AI模型用于对信道状态信息CSI进行压缩，第一AI模型也可以称为Encoder。其中，所述第二AI模型用于对压缩后的CSI进行解压缩，第二AI模型也可以称为Decoder。In some embodiments, the first device 101 is a device that has acquired a first AI model and/or a second AI model. The first AI model is used to compress channel state information (CSI), and the first AI model may also be referred to as an encoder. The second AI model is used to decompress the compressed CSI, and the second AI model may also be referred to as a decoder.

在本公开实施例中，第一设备101为网络设备。In the embodiment of the present disclosure, the first device 101 is a network device.

在一些实施例中，第二设备102为未获取第一AI模型和/或第二AI模型的设备，在本公开实施例中，第二设备102可以为终端。In some embodiments, the second device 102 is a device that has not acquired the first AI model and/or the second AI model. In the embodiment of the present disclosure, the second device 102 may be a terminal.

在一些实施例中，能力指示信息用于指示所述第二设备102所支持的AI模型能力。In some embodiments, the capability indication information is used to indicate the AI model capabilities supported by the second device 102.

在一个示例中，能力指示信息可以包括但不限于以下至少一项：In one example, the capability indication information may include, but is not limited to, at least one of the following:

所述第二设备102所支持的AI模型标识；An AI model identifier supported by the second device 102;

所述第二设备102所支持的AI模型结构。The AI model structure supported by the second device 102.

其中，AI模型标识可以包括但不限于以下至少一项：第一AI模型标识；第二AI模型标识；更新后的第一AI模型标识；更新后的第二AI模型标识；配对标识，所述配对标识用于标识一个所述第一AI模型和一个所述第二AI模型之间的配对；训练会话标识，所述训练会话标识与所述第一AI模型和/或所述第二AI模型关联；训练数据集标识，所述训练数据集标识与所述第一AI模型和/或所述第二AI模型关联。Among them, the AI model identifier may include but is not limited to at least one of the following: a first AI model identifier; a second AI model identifier; an updated first AI model identifier; an updated second AI model identifier; a pairing identifier, the pairing identifier is used to identify the pairing between a first AI model and a second AI model; a training session identifier, the training session identifier is associated with the first AI model and/or the second AI model; a training data set identifier, the training data set identifier is associated with the first AI model and/or the second AI model.

其中，配对标识(pair ID)可以标识一组AI模型，该组AI模型中包括一个第一AI模型(Encoder)和一个第二AI模型(Decoder)。Among them, the pairing identifier (pair ID) can identify a group of AI models, which includes a first AI model (Encoder) and a second AI model (Decoder).

可以理解的是，配对标识可以基于AI模型的更新进行更新。It is understandable that the pairing identifier can be updated based on the update of the AI model.

示例性地，当第一AI模型发生更新时，配对标识可以用于标识更新后的第一AI模型和第二AI模型。For example, when the first AI model is updated, the pairing identifier may be used to identify the updated first AI model and the second AI model.

示例性地，当第二AI模型发生更新时，配对标识可以用于标识更新后的第一AI模型和更新后的第二AI模型。For example, when the second AI model is updated, the pairing identifier may be used to identify the updated first AI model and the updated second AI model.

示例性地，当第一AI模型和第二AI模型发生更新时，配对标识可以用于标识第一AI模型和更新后的第二AI模型。For example, when the first AI model and the second AI model are updated, the pairing identifier may be used to identify the first AI model and the updated second AI model.

其中，训练会话标识与第一AI模型关联时，可以标识训练第一AI模型的会话。训练会话标识与第二AI模型关联时，可以标识训练第二AI模型的会话。训练会话标识与第一AI模型和第二AI模型关联时，可以标识第一AI模型和第二AI模型协同训练的会话。When a training session identifier is associated with a first AI model, it can identify a session for training the first AI model. When a training session identifier is associated with a second AI model, it can identify a session for training the second AI model. When a training session identifier is associated with a first AI model and a second AI model, it can identify a session for collaborative training of the first and second AI models.

其中，训练数据集标识与第一AI模型关联时，可以标识训练第一AI模型的一个数据集，即第一AI模型是基于该数据集训练得到的。训练数据集标识与第二AI模型关联时，可以标识训练第二AI模型的一个数据集，即第二AI模型是基于该数据集训练得到的。训练数据集标识与第一AI模型和第二AI模型关联时，可以标识第一AI模型和第二AI模型协同训练的一个数据集，即第一AI模型和第二AI模型均基于该数据集训练得到。Among them, when the training data set identifier is associated with the first AI model, it can identify a data set for training the first AI model, that is, the first AI model is trained based on this data set. When the training data set identifier is associated with the second AI model, it can identify a data set for training the second AI model, that is, the second AI model is trained based on this data set. When the training data set identifier is associated with the first AI model and the second AI model, it can identify a data set for collaborative training of the first AI model and the second AI model, that is, Both the first AI model and the second AI model are trained based on the data set.

以上标识均可以作为模型标识来标识第一AI模型和/或第二AI模型，本公开对模型标识的选择不作限定。All of the above identifiers can be used as model identifiers to identify the first AI model and/or the second AI model. This disclosure does not limit the selection of model identifiers.

其中，AI模型结构可以包括但不限于以下至少一项：AI模型所包括的各网络层；各网络层分别对应的网络参数。其中，AI模型可以包括输入层、卷积层、池化层、全连接层、输出层中的至少一层。The AI model structure may include, but is not limited to, at least one of the following: each network layer included in the AI model; and the network parameters corresponding to each network layer. The AI model may include at least one of the following: an input layer, a convolutional layer, a pooling layer, a fully connected layer, and an output layer.

本公开对第二设备102支持的AI模型结构不作限定。This disclosure does not limit the AI model structure supported by the second device 102.

在一些实施例中，能力指示信息的名称不作限定，可以与指示信息、能力信息、终端能力信息等互换。In some embodiments, the name of the capability indication information is not limited and can be interchangeable with indication information, capability information, terminal capability information, etc.

在一些实施例中，第一设备101接收该能力指示信息。In some embodiments, the first device 101 receives the capability indication information.

步骤S2102，第一设备101向第二设备102发送第一信息。Step S2102 : The first device 101 sends first information to the second device 102 .

在一些实施例中，第一设备101基于能力指示信息，确定第二设备102具备支持第一AI模型和/或第二AI模型的能力时，向第二设备102发送第一信息。否则，第一设备101可以不向第二设备102发送第一信息。In some embodiments, when the first device 101 determines, based on the capability indication information, that the second device 102 is capable of supporting the first AI model and/or the second AI model, the first device 101 sends the first information to the second device 102. Otherwise, the first device 101 may not send the first information to the second device 102.

在一些实施例中，第一信息可以用于识别第一AI模型和/或第二AI模型。In some embodiments, the first information may be used to identify the first AI model and/or the second AI model.

其中，识别第一AI模型和/或第二AI模型可以包括但不限于以下至少一项：识别终端侧所使用的第一AI模型；识别网络设备侧所使用的第二AI模型。Among them, identifying the first AI model and/or the second AI model may include but is not limited to at least one of the following: identifying the first AI model used on the terminal side; identifying the second AI model used on the network device side.

相应地，第一设备101和第二设备102可以基于离线方式，确定第一AI模型和第二AI模型的匹配关系。即终端通过某个第一AI模型对CSI进行压缩后，网络设备侧会通过与该第一AI模型匹配或对应的第二AI模型进行解压缩。例如第一AI模型#1对应第二AI模型#3，第一AI模型#2对应第二AI模型#1，第一AI模型#3对应第二AI模型#2，……以此类推。Accordingly, the first device 101 and the second device 102 can determine the matching relationship between the first AI model and the second AI model offline. That is, after the terminal compresses the CSI using a first AI model, the network device decompresses it using a second AI model that matches or corresponds to the first AI model. For example, first AI model #1 corresponds to second AI model #3, first AI model #2 corresponds to second AI model #1, first AI model #3 corresponds to second AI model #2, and so on.

在一些实施例中，第一信息可以用于识别第一AI模型和/或第二AI模型，以及确定第一AI模型与第二AI模型的匹配关系。In some embodiments, the first information may be used to identify the first AI model and/or the second AI model, and to determine a matching relationship between the first AI model and the second AI model.

在一些实施例中，第一信息的名称不作限定，可以与识别信息、指示信息等互换。In some embodiments, the name of the first information is not limited and can be interchangeable with identification information, indication information, etc.

在一些实施例中，第一信息可以包括但不限以下至少一项：模型标识，所述模型标识用于标识所述第一AI模型和/或所述第二AI模型；所述第一AI模型；所述第二AI模型；训练数据集，所述训练数据集是用于训练所述第一AI模型和/或所述第二AI模型的数据集。In some embodiments, the first information may include but is not limited to at least one of the following: a model identifier, wherein the model identifier is used to identify the first AI model and/or the second AI model; the first AI model; the second AI model; a training data set, wherein the training data set is a data set used to train the first AI model and/or the second AI model.

在一个示例中，模型标识的内容已经在前述实施例进行了介绍，此处不再赘述。In one example, the content of the model identification has been introduced in the aforementioned embodiment and will not be repeated here.

在一些实施例中，第二设备102接收第一信息。In some embodiments, the second device 102 receives the first information.

在一些实施例中，第二设备102基于第一信息，识别第一AI模型和/或所述第二AI模型。具体识别过程包括以下至少一项：In some embodiments, the second device 102 identifies the first AI model and/or the second AI model based on the first information. The specific identification process includes at least one of the following:

第一信息中包括模型标识，第二设备102可以基于模型标识识别对应的AI模型；The first information includes a model identifier, and the second device 102 can identify the corresponding AI model based on the model identifier;

第一信息中包括第一AI模型和/或所述第二AI模型，第二设备102可以直接识别出第一AI模型和/或所述第二AI模型；The first information includes the first AI model and/or the second AI model, and the second device 102 can directly identify the first AI model and/or the second AI model;

第一信息中包括训练数据集，第二设备102可以基于该训练数据集进行训练，得到对应的AI模型。The first information includes a training data set, and the second device 102 can perform training based on the training data set to obtain a corresponding AI model.

在一些实施例中，信息等的名称不限定于实施例中所记载的名称，“信息(information)”、“消息(message)”、“信号(signal)”、“信令(signaling)”、“报告(report)”、“配置(configuration)”、“指示(indication)”、“指令(instruction)”、“命令(command)”、“信道”、“参数(parameter)”、“域”、“字段”、“符号(symbol)”、“码元(symbol)”、“码本(codebook)”、“码字(codeword)”、“码点(codepoint)”、“比特(bit)”、“数据(data)”、“程序(program)”、“码片(chip)”等术语可以相互替换。In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

在一些实施例中，“发送”、“发射”、“上报”、“下发”、“传输”、“双向传输”、“发送和/或接收”等术语可以相互替换。In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and/or receive" can be used interchangeably.

在一些实施例中，“获取”、“获得”、“得到”、“接收”、“传输”、“双向传输”、“发送和/或接收”可以相互替换，其可以解释为从其他主体接收，从协议中获取，从高层获取，自身处理得到、自主实现等多种含义。In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and/or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

在一些实施例中，“特定(certain)”、“预定(preseted)”、“预设”、“设定”、“指示(indicated)”、“某一”、“任意”、“第一”等术语可以相互替换，“特定A”、“预定A”、“预设A”、“设定A”、“指示A”、“某一A”、“任意A”、“第一A”可以解释为在协议等中预先规定的A，也可以解释为通过设定、配置、或指示等得到的A，也可以解释为特定A、某一A、任意A、或第一A等，但不限于此。In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

在一些实施例中，本公开实施例所涉及的信息传输方法可以包括步骤S2101～步骤S2102中的至少一者。例如，步骤S2101可以作为独立实施例来实施，步骤S2102可以作为独立实施例来实施，步骤S2101+S2102可以作为独立实施例来实施，但不限于此。In some embodiments, the information transmission method involved in the embodiments of the present disclosure may include steps S2101 to S2102. For example, step S2101 can be implemented as an independent embodiment, step S2102 can be implemented as an independent embodiment, and steps S2101+S2102 can be implemented as independent embodiments, but are not limited thereto.

在一些实施例中，步骤S2101是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101从其他执行主体获取能力指示信息或不考虑终端能力时，步骤S2101可以不执行。In some embodiments, step S2101 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the first device 101 obtains capability indication information from other execution entities or does not consider terminal capabilities, step S2101 may not be performed.

在一些实施例中，步骤S2102是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101基于终端能力，确定终端不具备通过AI模型对CSI进行压缩处理的能力时，步骤S2102可以不执行。In some embodiments, step S2102 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the first device 101 determines, based on the terminal's capabilities, that the terminal does not have the ability to compress the CSI using the AI model, step S2102 may not be performed.

在一些实施例中，步骤S2101至S2102是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。In some embodiments, steps S2101 to S2102 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

上述实施例中，第二设备为终端时，可以通过上报能力指示信息，让第一网络设备例如网络设备发送第一信息，以便第二设备识别第一AI模型和/或第二AI模型，实现识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, when the second device is a terminal, the capability indication information can be reported to allow the first network device, such as a network device, to send the first information so that the second device can identify the first AI model and/or the second AI model, thereby achieving the purpose of identifying the first AI model and/or the second AI model. The use of AI technology improves the reliability and availability of CSI transmission, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

图2B是根据本公开实施例示出的信息传输方法的交互示意图。如图2B所示，本公开实施例涉及信息传输方法，上述方法包括：FIG2B is an interactive diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2B , the present disclosure embodiment relates to an information transmission method, which includes:

步骤S2201，第一设备101向第二设备102发送第二信息。Step S2201: The first device 101 sends second information to the second device 102.

在一些实施例中，第二信息可以用于第二设备102确定是否能够识别第一AI模型和/或所述第二AI模型，并在能够识别时确定接收第一信息。In some embodiments, the second information may be used by the second device 102 to determine whether the first AI model and/or the second AI model can be recognized, and to determine to receive the first information if the first AI model and/or the second AI model can be recognized.

在一些实施例中，所述第二信息中包括但不限于以下至少一项：所述第一AI模型；所述第二AI模型；训练数据集；配置参数；模型标识。In some embodiments, the second information includes but is not limited to at least one of the following: the first AI model; the second AI model; a training data set; configuration parameters; and a model identifier.

其中，训练数据集是用于训练所述第一AI模型和/或所述第二AI模型的数据集。The training data set is a data set used to train the first AI model and/or the second AI model.

其中，配置参数可以指网络设备配置给终端的与第一AI模型和/或所述第二AI模型对应的参数，包括但不限于以下至少一项：天线端口；子带大小。Among them, the configuration parameters may refer to parameters corresponding to the first AI model and/or the second AI model configured by the network device to the terminal, including but not limited to at least one of the following: antenna port; subband size.

其中，关于模型标识的内容已经在前述实施例进行了介绍，此处不再赘述。The model identification has been described in the foregoing embodiments and will not be repeated here.

步骤S2202，第二设备102确定是否能够识别第一AI模型和/或所述第二AI模型。In step S2202 , the second device 102 determines whether it can recognize the first AI model and/or the second AI model.

在一些实施例中，第二信息中包括所述训练数据集，确定能够识别所述第一AI模型和/或所述第二AI模型。相应地，第二设备102可以基于该训练数据集进行模型训练，得到第一AI模型和/或所述第二AI模型，从而实现对第一AI模型和/或所述第二AI模型的识别，此时可以无需执行后续的步骤S2203至步骤S2204。In some embodiments, the second information includes the training dataset, and it is determined that the first AI model and/or the second AI model can be recognized. Accordingly, the second device 102 can perform model training based on the training dataset to obtain the first AI model and/or the second AI model, thereby realizing recognition of the first AI model and/or the second AI model. In this case, subsequent steps S2203 and S2204 may not be performed.

在一些实施例中，第二设备102支持所述第二信息中包括的所述第一AI模型和/或所述第二AI模型，第二设备102可以确定能够识别所述第一AI模型和/或所述第二AI模型。In some embodiments, the second device 102 supports the first AI model and/or the second AI model included in the second information, and the second device 102 may determine that it can recognize the first AI model and/or the second AI model.

在一些实施例中，第二设备102不支持所述第二信息中包括的所述第一AI模型和/或所述第二AI模型，第二设备102可以确定无法识别所述第一AI模型和/或所述第二AI模型。In some embodiments, the second device 102 does not support the first AI model and/or the second AI model included in the second information, and the second device 102 may determine that the first AI model and/or the second AI model cannot be recognized.

在一些实施例中，第二设备102能够识别所述第一AI模型和/或所述第二AI模型时，可以确定需要接收第一信息，此时可以继续执行步骤S2203至步骤S2204。In some embodiments, when the second device 102 is able to recognize the first AI model and/or the second AI model, it may be determined that the first information needs to be received, and steps S2203 to S2204 may be continued.

如果第二设备102确定无法识别第一AI模型和/或第二AI模型，可以确定不需要接收第一信息。If the second device 102 determines that the first AI model and/or the second AI model cannot be recognized, it may determine that there is no need to receive the first information.

步骤S2203，第二设备102向第一设备101发送第一指示信息。Step S2203 : The second device 102 sends first indication information to the first device 101 .

在一些实施例中，所述第一指示信息用于指示所述第二设备102确定接收所述第一信息。In some embodiments, the first indication information is used to instruct the second device 102 to determine to receive the first information.

在一些实施例中，第一设备101接收该第一指示信息。In some embodiments, the first device 101 receives the first indication information.

步骤S2204，第一设备101向第二设备102发送第一信息。Step S2204 : The first device 101 sends first information to the second device 102 .

在一些实施例中，第一设备101可以基于第一指示信息，向第二设备102发送该第一信息。第一信息所包括的具体内容已经在前述实施例进行了介绍，此处不再赘述。In some embodiments, the first device 101 may send the first information to the second device 102 based on the first indication information. The specific content of the first information has been introduced in the above embodiment and will not be repeated here.

相应地，第二设备102基于第一信息识别第一AI模型和/或所述第二AI模型的过程可以参照步骤S2102中对应的过程，在此不再赘述。Accordingly, the process of the second device 102 identifying the first AI model and/or the second AI model based on the first information can refer to the corresponding process in step S2102, which is not repeated here.

在一些实施例中，本公开实施例所涉及的信息传输方法可以包括步骤S2201～步骤S2204中的至少一者。例如，步骤S2201可以作为独立实施例来实施，步骤S2202可以作为独立实施例来实施，步骤S2201+S2202可以作为独立实施例来实施，步骤S2203+S2204可以作为独立实施例来实施，步骤S2201～步骤S2204可以作为独立实施例来实施，但不限于此。In some embodiments, the information transmission method involved in the embodiments of the present disclosure may include steps S2201 to S2204. For example, step S2201 can be implemented as an independent embodiment, step S2202 can be implemented as an independent embodiment, steps S2201+S2202 can be implemented as an independent embodiment, steps S2203+S2204 can be implemented as an independent embodiment, and steps S2201 to S2204 can be implemented as independent embodiments, but are not limited thereto.

在一些实施例中，步骤S2201是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第二设备102从其他执行主体获取第二信息时，步骤S2201可以不执行。In some embodiments, step S2201 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the second device 102 obtains the second information from other execution entities, step S2201 may not be performed.

在一些实施例中，步骤S2202是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第二设备102已经识别了第一AI模型和/或第二AI模型时，步骤S2202可以不执行。In some embodiments, step S2202 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the second device 102 has already recognized the first AI model and/or the second AI model, step S2202 may not be performed.

在一些实施例中，步骤S2203至S2204是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第二设备102基于第二信息已经成功识别了第一AI模型和/或第二AI模型时，步骤S2203至S2204可以不执行。In some embodiments, steps S2203 to S2204 are optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the second device 102 has successfully identified the first AI model and/or the second AI model based on the second information, steps S2203 to S2204 may not be performed.

在一些实施例中，步骤S2201至S2204是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。In some embodiments, steps S2201 to S2204 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

上述实施例中，第一设备可以向第二设备发送第二信息，如果第二设备基于第二信息确定能够识别第一AI模型和/或第二AI模型，那么第一设备再向第二设备发送第一信息，同样实现识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the first device can send second information to the second device. If the second device determines that it can identify the first AI model and/or the second AI model based on the second information, the first device then sends the first information to the second device, thereby also achieving the purpose of identifying the first AI model and/or the second AI model. The use of AI technology improves the reliability and availability of CSI transmission, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

图2C是根据本公开实施例示出的信息传输方法的交互示意图。如图2C所示，本公开实施例涉及信息传输方法，上述方法包括：FIG2C is an interactive diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2C , the present disclosure embodiment relates to an information transmission method, which includes:

步骤S2301，第二设备102向第一设备101发送能力指示信息。Step S2301 : The second device 102 sends capability indication information to the first device 101 .

在本公开实施例中，第一设备101为网络设备，第二设备102可以为终端。In the embodiment of the present disclosure, the first device 101 is a network device, and the second device 102 may be a terminal.

步骤S2301的实现方式与步骤S2101类似，在此不再赘述。The implementation of step S2301 is similar to that of step S2101 and will not be repeated here.

步骤S2302，第一设备101向所述第二设备102发送第二指示信息。Step S2302: The first device 101 sends second indication information to the second device 102.

在一些实施例中，第二指示信息用于指示所述第二设备102发送辅助信息，所述辅助信息用于辅助所述第一设备101确定是否向所述第二设备发送所述第一信息。In some embodiments, the second indication information is used to instruct the second device 102 to send auxiliary information, and the auxiliary information is used to assist the first device 101 in determining whether to send the first information to the second device.

在一些实施例中，辅助信息可以包括但不限于以下至少一项：所述第二设备102的移动性信息；所述第二设备102的软件参数信息；所述第二设备102的硬件参数信息。In some embodiments, the auxiliary information may include, but is not limited to, at least one of the following: mobility information of the second device 102 ; software parameter information of the second device 102 ; and hardware parameter information of the second device 102 .

在一些实施例中，第二设备102接收第二指示信息。In some embodiments, the second device 102 receives the second indication information.

步骤S2303，所述第二设备102向第一设备101发送所述辅助信息。Step S2303 : The second device 102 sends the auxiliary information to the first device 101 .

在一些实施例中，第二设备102基于第二指示信息向第一设备101发送辅助信息。In some embodiments, the second device 102 sends auxiliary information to the first device 101 based on the second indication information.

在一些实施例中，第一设备101接收所述辅助信息。In some embodiments, the first device 101 receives the auxiliary information.

步骤S2304，第一设备101确定是否向所述第二设备102发送所述第一信息。Step S2304 : The first device 101 determines whether to send the first information to the second device 102 .

在一些实施例中，第一设备101基于能力指示信息和/或辅助信息，确定是否向所述第二设备102发送所述第一信息。In some embodiments, the first device 101 determines whether to send the first information to the second device 102 based on capability indication information and/or auxiliary information.

在一些实施例中，第一设备101基于能力指示信息，确定第二设备102具备支持第一AI模型和/或第二AI模型的能力，确定向第二设备102发送所述第一信息。否则，确定不向第二设备102发送该第一信息，可以回退到传统(legacy)模式下进行CSI处理和传输。传统模式是指不使用任何AI模型对CSI进行压缩和恢复的模式。In some embodiments, the first device 101 determines, based on the capability indication information, that the second device 102 is capable of supporting the first AI model and/or the second AI model, and determines to send the first information to the second device 102. Otherwise, it determines not to send the first information to the second device 102, and may fall back to the legacy mode for CSI processing and transmission. The legacy mode refers to a mode in which no AI model is used to compress and recover the CSI.

在一些实施例中，第一设备101基于辅助信息，例如第二设备102(即终端)的软硬件参数，确定其具备支持第一AI模型和/或第二AI模型的能力，确定向第二设备102发送所述第一信息。In some embodiments, the first device 101 determines that it has the ability to support the first AI model and/or the second AI model based on auxiliary information, such as the software and hardware parameters of the second device 102 (i.e., the terminal), and determines to send the first information to the second device 102.

在一些实施例中，第一设备101基于辅助信息，例如第二设备102(即终端)的移动性参数，确定第二设备102即将离开第一设备102的覆盖范围，确定不向第二设备102发送所述第一信息。后续可以由第二设备102的服务基站发送该第一信息。In some embodiments, the first device 101 determines, based on auxiliary information, such as a mobility parameter of the second device 102 (i.e., a terminal), that the second device 102 is about to leave the coverage of the first device 102, and determines not to send the first information to the second device 102. The serving base station of the second device 102 may subsequently send the first information.

在一些实施例中，第一设备101基于辅助信息，例如第二设备102(即终端)的移动性参数，确定第二设备102处于第一设备102的覆盖范围内，确定向第二设备102发送所述第一信息。In some embodiments, the first device 101 determines that the second device 102 is within the coverage of the first device 102 based on auxiliary information, such as the mobility parameter of the second device 102 (ie, the terminal), and determines to send the first information to the second device 102.

在一些实施例中，第一设备101基于能力指示信息和辅助信息，确定第二设备102具备支持第一AI模型和/或第二AI模型的能力，确定向第二设备102发送所述第一信息。否则，不向第二设备102发送所述第一信息。In some embodiments, the first device 101 determines, based on the capability indication information and the auxiliary information, that the second device 102 is capable of supporting the first AI model and/or the second AI model, and determines to send the first information to the second device 102. Otherwise, the first information is not sent to the second device 102.

在一些实施例中，第一设备101基于能力指示信息和辅助信息，确定第二设备102具备支持第一AI模型和/或第二AI模型的能力，且处于第一设备101的覆盖范围内，确定向第二设备102发送所述第一信息。否则，不向第二设备102发送所述第一信息。In some embodiments, the first device 101 determines, based on the capability indication information and the auxiliary information, that the second device 102 is capable of supporting the first AI model and/or the second AI model and is within the coverage range of the first device 101, and determines to send the first information to the second device 102. Otherwise, the first information is not sent to the second device 102.

以上仅为示例性说明，第一设备101基于能力指示信息和/或辅助信息，确定是否向所述第二设备102发送所述第一信息的方案，均应属于本公开的保护范围。The above is only an exemplary description. The first device 101 determines whether to send a request to the second device based on the capability indication information and/or the auxiliary information. All schemes in which the device 102 sends the first information should fall within the scope of protection of this disclosure.

步骤S2305，第一设备101向第二设备102发送第一信息。Step S2305 : The first device 101 sends first information to the second device 102 .

步骤S2305的实现方式与步骤S2102类似，在此不再赘述。The implementation of step S2305 is similar to that of step S2102 and will not be repeated here.

在一些实施例中，本公开实施例所涉及的信息传输方法可以包括步骤S2301～步骤S2305中的至少一者。例如，步骤S2301可以作为独立实施例来实施，步骤S2302可以作为独立实施例来实施，步骤S2301+S2302可以作为独立实施例来实施，步骤S2303可以作为独立实施例来实施，步骤S2301+S2302+S2303可以作为独立实施例来实施，步骤S2204可以作为独立实施例来实施，步骤S2205可以作为独立实施例来实施，步骤S2304+S2305可以作为独立实施例来实施，步骤S2301～步骤S2305可以作为独立实施例来实施，但不限于此。In some embodiments, the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2301 to S2305. For example, step S2301 can be implemented as an independent embodiment, step S2302 can be implemented as an independent embodiment, steps S2301+S2302 can be implemented as an independent embodiment, step S2303 can be implemented as an independent embodiment, steps S2301+S2302+S2303 can be implemented as an independent embodiment, step S2204 can be implemented as an independent embodiment, step S2205 can be implemented as an independent embodiment, steps S2304+S2305 can be implemented as an independent embodiment, and steps S2301 to S2305 can be implemented as independent embodiments, but are not limited thereto.

在一些实施例中，步骤S2301是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101从其他执行主体获取能力指示信息或不考虑终端能力时，步骤S2301可以不执行。In some embodiments, step S2301 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the first device 101 obtains capability indication information from other execution entities or does not consider terminal capabilities, step S2301 may not be performed.

在一些实施例中，步骤S2302是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101不考虑辅助信息或第二设备102自动上报辅助信息时，步骤S2302可以不执行。In some embodiments, step S2302 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the first device 101 does not consider the auxiliary information or the second device 102 automatically reports the auxiliary information, step S2302 may not be performed.

在一些实施例中，步骤S2303是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101从其他执行主体获取辅助信息，或者第一设备101自己确定辅助信息时，步骤S2303可以不执行。In some embodiments, step S2303 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the first device 101 obtains auxiliary information from another execution entity, or if the first device 101 determines the auxiliary information itself, step S2303 may not be performed.

在一些实施例中，步骤S2304是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101默认需要向第二设备102提供第一信息时，步骤S2304可以不执行。In some embodiments, step S2304 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the first device 101 is required to provide the first information to the second device 102 by default, step S2304 may not be performed.

在一些实施例中，步骤S2305是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第二设备102从其他执行主体获取第一信息时，步骤S2305可以不执行。In some embodiments, step S2305 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the second device 102 obtains the first information from other execution entities, step S2305 may not be performed.

在一些实施例中，步骤S2301至S2305是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。In some embodiments, steps S2301 to S2305 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

上述实施例中，第二设备可以上报辅助信息给第一设备，辅助第一设备确定是否将第一信息发送给第二设备，实现了识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the second device can report auxiliary information to the first device to assist the first device in determining whether to send the first information to the second device, thereby achieving the purpose of identifying the first AI model and/or the second AI model. The use of AI technology improves the reliability and availability of CSI transmission, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

图2D是根据本公开实施例示出的信息传输方法的交互示意图。如图2D所示，本公开实施例涉及信息传输方法，上述方法包括：FIG2D is an interactive diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2D , the present disclosure embodiment relates to an information transmission method, which includes:

步骤S2401，第二设备102向第一设备101发送辅助信息和/或第三指示信息。Step S2401: The second device 102 sends auxiliary information and/or third indication information to the first device 101.

在一些实施例中，辅助信息用于辅助所述第一设备确定是否向所述第二设备发送所述第一信息。In some embodiments, the assistance information is used to assist the first device in determining whether to send the first information to the second device.

在一个示例中，辅助信息可以包括但不限于以下至少一项：所述第二设备102的移动性信息；所述第二设备102的软件参数信息；所述第二设备102的硬件参数信息。In an example, the auxiliary information may include, but is not limited to, at least one of the following: mobility information of the second device 102 ; software parameter information of the second device 102 ; and hardware parameter information of the second device 102 .

在一些实施例中，第三指示信息可以用于指示所述第一设备101向所述第二设备102发送所述第一信息。In some embodiments, the third indication information may be used to instruct the first device 101 to send the first information to the second device 102 .

步骤S2402，第一设备101确定是否向第二设备102发送第一信息。In step S2402 , the first device 101 determines whether to send first information to the second device 102 .

在一些实施例中，第一设备101基于辅助信息所包括的软硬件参数，确定第二设备102支持具备支持第一AI模型和/或第二AI模型的能力，确定向第二设备102发送所述第一信息。否则，确定不向第二设备102发送该第一信息，可以回退到传统(legacy)模式下进行CSI处理和传输。传统模式是指不使用任何AI模型对CSI进行压缩和恢复的模式。In some embodiments, the first device 101 determines, based on the software and hardware parameters included in the auxiliary information, that the second device 102 supports the first AI model and/or the second AI model, and determines to send the first information to the second device 102. Otherwise, it is determined not to send the first information to the second device 102, and the CSI processing and transmission can be returned to the legacy mode. The legacy mode refers to a mode that does not use any AI model to compress and recover the CSI.

在一些实施例中，第一设备101基于辅助信息所包括的确定第二设备102处于第一设备102的覆盖范围内，确定向第二设备102发送所述第一信息。否则，确定不向第二设备102发送该第一信息。In some embodiments, the first device 101 determines to send the first information to the second device 102 based on the auxiliary information indicating that the second device 102 is within the coverage of the first device 102. Otherwise, it determines not to send the first information to the second device 102.

在一些实施例中，第一设备101基于第三指示信息，确定向第二设备102发送所述第一信息。In some embodiments, the first device 101 determines to send the first information to the second device 102 based on the third indication information.

在一些实施例中，第一设备101基于第三指示信息和辅助信息，例如软硬件参数，确定向第二设备102发送所述第一信息。否则，确定不向第二设备102发送该第一信息。或者，基于第三指示信息和辅助信息，例如移动性参数，第二设备102处于第一设备102的覆盖范围内，确定向第二设备102发送所述第一信息。否则，确定不向第二设备102发送该第一信息。In some embodiments, the first device 101 determines to send the first information to the second device 102 based on the third indication information and auxiliary information, such as software and hardware parameters. Otherwise, it is determined not to send the first information to the second device 102. Alternatively, if the second device 102 is within the coverage of the first device 102 based on the third indication information and auxiliary information, such as mobility parameters, it is determined to send the first information to the second device 102. Otherwise, it is determined not to send the first information to the second device 102.

以上仅为示例性说明，第一设备101确定是否向第二设备102发送第一信息的方案均应属于本公开的保护范围。The above is only an example description. The solution for the first device 101 to determine whether to send the first information to the second device 102 should belong to The scope of protection of this disclosure.

步骤S2403，第一设备101向第二设备102发送第一信息。Step S2403 : The first device 101 sends first information to the second device 102 .

步骤S2403的实现方式与步骤S2102类似，在此不再赘述。The implementation of step S2403 is similar to that of step S2102 and will not be repeated here.

在一些实施例中，本公开实施例所涉及的信息传输方法可以包括步骤S2401～步骤S2403中的至少一者。例如，步骤S2401可以作为独立实施例来实施，步骤S2402可以作为独立实施例来实施，步骤S2401+S2402可以作为独立实施例来实施，步骤S2403可以作为独立实施例来实施，步骤S2401～步骤S2403可以作为独立实施例来实施，但不限于此。In some embodiments, the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2401 to S2403. For example, step S2401 can be implemented as an independent embodiment, step S2402 can be implemented as an independent embodiment, steps S2401+S2402 can be implemented as an independent embodiment, step S2403 can be implemented as an independent embodiment, and steps S2401 to S2403 can be implemented as independent embodiments, but are not limited thereto.

在一些实施例中，步骤S2401是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101基于其他信息(例如能力指示信息)确定是否向第二设备102发送第一信息时，步骤S2301可以不执行。In some embodiments, step S2401 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the first device 101 determines whether to send the first information to the second device 102 based on other information (such as capability indication information), step S2301 may not be performed.

在一些实施例中，步骤S2402是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101默认需要向第二设备102发送第一信息时，步骤S2402可以不执行。In some embodiments, step S2402 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the first device 101 needs to send the first information to the second device 102 by default, step S2402 may not be performed.

在一些实施例中，步骤S2403是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第二设备102从其他执行主体获取第一信息时，步骤S2403可以不执行In some embodiments, step S2403 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the second device 102 obtains the first information from other execution entities, step S2403 may not be performed.

在一些实施例中，步骤S2401至S2403是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。In some embodiments, steps S2401 to S2403 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

上述实施例中，第二设备可以主动发起AI模型的识别过程，实现了识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the second device can actively initiate the AI model recognition process, thereby achieving the purpose of identifying the first AI model and/or the second AI model. The use of AI technology improves the reliability and availability of CSI transmission, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

下面再以第一设备101为终端，第二设备102为网络设备为例，介绍本公开提供的信息传输方法。The following takes the first device 101 as a terminal and the second device 102 as a network device as an example to introduce the information transmission method provided by the present disclosure.

图2E是根据本公开实施例示出的信息传输方法的交互示意图。如图2E所示，本公开实施例涉及信息传输方法，上述方法包括：FIG2E is an interactive diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2E , the present disclosure embodiment relates to an information transmission method, which includes:

步骤S2501，第二设备102向第一设备101发送辅助信息和/或第三指示信息。Step S2501: The second device 102 sends auxiliary information and/or third indication information to the first device 101.

在本公开实施例中，第一设备101为终端，第二设备102可以为网络设备。即终端侧已经获取了第一AI模型和/或第二AI模型。In the embodiment of the present disclosure, the first device 101 is a terminal, and the second device 102 may be a network device. That is, the terminal side has acquired the first AI model and/or the second AI model.

在一些实施例中，辅助信息可以包括但不限于信道场景信息。其中，信道场景信息可以用于标识当前的信道场景。In some embodiments, the auxiliary information may include but is not limited to channel scenario information, wherein the channel scenario information may be used to identify the current channel scenario.

示例性地，信道场景可以包括但不限于以下任一项：城区微基站(Urban Microcell，UMi)场景；城区宏基站(Urban Macrocell，UMa)场景；室内热点(indoor)场景等。Exemplarily, the channel scenario may include but is not limited to any of the following: urban microcell (UMi) scenario; urban macrocell (UMa) scenario; indoor hotspot scenario, etc.

步骤S2502，第一设备101确定是否向第二设备102发送第一信息。In step S2502 , the first device 101 determines whether to send first information to the second device 102 .

在一些实施例中，第一设备101(即终端)可以基于辅助信息，确定当前的信道场景，并基于预定义方式，确定当前的信道场景下，是否向第二设备102发送第一信息。In some embodiments, the first device 101 (ie, the terminal) may determine the current channel scenario based on the auxiliary information, and determine whether to send the first information to the second device 102 in the current channel scenario based on a predefined method.

示例性地，可以由协议约定，例如UMa场景下，需要向第二设备102发送第一信息。Exemplarily, it may be agreed upon by a protocol, for example, in a UMa scenario, the first information needs to be sent to the second device 102 .

在一些实施例中，第一设备101(即终端)可以基于第三指示信息，确定向第二设备102发送第一信息。In some embodiments, the first device 101 (ie, the terminal) may determine to send the first information to the second device 102 based on the third indication information.

在一些实施例中，第一设备101(即终端)可以基于第三指示信息和辅助信息，共同确定是否向第二设备102发送第一信息。In some embodiments, the first device 101 (ie, the terminal) may jointly determine whether to send the first information to the second device 102 based on the third indication information and the auxiliary information.

示例性地，第三指示信息指示第一设备101向第二设备102发送第一信息，辅助信息指示的信道场景为Uma，第一设备101确定向第二设备102发送第一信息。Exemplarily, the third indication information instructs the first device 101 to send the first information to the second device 102 , the channel scenario indicated by the auxiliary information is Uma, and the first device 101 determines to send the first information to the second device 102 .

示例性地，第三指示信息指示第一设备101向第二设备102发送第一信息，辅助信息指示的信道场景为indoor场景，第一设备101确定不向第二设备102发送第一信息。Exemplarily, the third indication information indicates that the first device 101 sends the first information to the second device 102 , the channel scenario indicated by the auxiliary information is an indoor scenario, and the first device 101 determines not to send the first information to the second device 102 .

以上仅为示例性说明，本公开对第一设备101确定是否向第二设备102发送第一信息的方案不作限定。The above description is merely an exemplary description, and the present disclosure does not limit the scheme in which the first device 101 determines whether to send the first information to the second device 102 .

步骤S2503，第一设备101向第二设备102发送第一信息。Step S2503 : The first device 101 sends first information to the second device 102 .

步骤S2503的实现方式与步骤S2102类似，在此不再赘述。The implementation of step S2503 is similar to that of step S2102 and will not be repeated here.

在一些实施例中，本公开实施例所涉及的信息传输方法可以包括步骤S2501～步骤S2503中的至少一者。例如，步骤S2501可以作为独立实施例来实施，步骤S2502可以作为独立实施例来实施，步骤S2501+S2502可以作为独立实施例来实施，步骤S2503可以作为独立实施例来实施，步骤S2501～步骤S2503可以作为独立实施例来实施，但不限于此。In some embodiments, the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2501 to S2503. For example, step S2501 can be implemented as an independent embodiment, step S2502 can be implemented as an independent embodiment, steps S2501+S2502 can be implemented as an independent embodiment, step S2503 can be implemented as an independent embodiment, and step S2504 can be implemented as an independent embodiment. Steps S2501 to S2503 may be implemented as independent embodiments, but are not limited thereto.

在一些实施例中，步骤S2501是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101基于其他信息确定是否向第二设备102发送第一信息时，步骤S2501可以不执行。In some embodiments, step S2501 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the first device 101 determines whether to send the first information to the second device 102 based on other information, step S2501 may not be performed.

在一些实施例中，步骤S2502是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101默认需要向第二设备102发送第一信息时，步骤S2502可以不执行。In some embodiments, step S2502 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the first device 101 needs to send the first information to the second device 102 by default, step S2502 may not be performed.

在一些实施例中，步骤S2503是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第二设备102从其他执行主体获取第一信息时，步骤S2503可以不执行。In some embodiments, step S2503 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the second device 102 obtains the first information from other execution entities, step S2503 may not be performed.

在一些实施例中，步骤S2501至S2503是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。In some embodiments, steps S2501 to S2503 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

图2F是根据本公开实施例示出的信息传输方法的交互示意图。如图2F所示，本公开实施例涉及信息传输方法，上述方法包括：FIG2F is an interactive diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2F , the present disclosure embodiment relates to an information transmission method, which includes:

步骤S2601，第一设备101向第二设备102发送第二指示信息。Step S2601: The first device 101 sends second indication information to the second device 102.

在一些实施例中，第一设备101为终端，第二设备102可以为网络设备。即终端侧已经获取了第一AI模型和/或第二AI模型。In some embodiments, the first device 101 is a terminal, and the second device 102 is a network device. That is, the terminal side has acquired the first AI model and/or the second AI model.

在一些实施例中，第二指示信息用于指示所述第二设备102发送辅助信息，所述辅助信息用于辅助所述第一设备101确定是否向所述第二设备102发送所述第一信息。In some embodiments, the second indication information is used to instruct the second device 102 to send auxiliary information, and the auxiliary information is used to assist the first device 101 in determining whether to send the first information to the second device 102.

在一些实施例中，辅助信息可以包括但不限于信道场景信息。In some embodiments, the auxiliary information may include but is not limited to channel scenario information.

在一些实施例中，由于第一设备101已经获取了第一AI模型和/或第二AI模型，第二指示信息中还可以包括以下至少一项：所述第一AI模型；所述第二AI模型；更新后的第一AI模型；更新后的第二AI模型；训练数据集；模型标识。In some embodiments, since the first device 101 has acquired the first AI model and/or the second AI model, the second indication information may also include at least one of the following: the first AI model; the second AI model; the updated first AI model; the updated second AI model; the training data set; and the model identifier.

示例性地，第一设备101可以直接通过第二指示信息将第一AI模型和/或第二AI模型提供给第二设备102。Exemplarily, the first device 101 may directly provide the first AI model and/or the second AI model to the second device 102 through the second indication information.

示例性地，第一设备101侧更新了第一AI模型和/或第二AI模型，第一设备101可以通过第二指示信息直接将更新后的第一AI模型和/或更新后的第二AI模型发送给第二设备102。Exemplarily, the first device 101 updates the first AI model and/or the second AI model. The first device 101 may directly send the updated first AI model and/or the updated second AI model to the second device 102 through the second indication information.

示例性地，第一设备101可以通过第二指示信息将训练数据集提供给第二设备102，以便第二设备102基于该训练数据集识别得到第一AI模型和/或第二AI模型。Exemplarily, the first device 101 may provide the training data set to the second device 102 through the second indication information, so that the second device 102 can identify the first AI model and/or the second AI model based on the training data set.

示例性地，第一设备101可以通过第二指示信息将模型标识提供给第二设备102，以便第二设备102基于该模型标识识别得到第一AI模型和/或第二AI模型。Exemplarily, the first device 101 may provide the model identifier to the second device 102 through the second indication information, so that the second device 102 can identify the first AI model and/or the second AI model based on the model identifier.

以上仅为示例性说明，第二指示信息中也可以只用于指示第二设备102发送辅助信息。The above description is merely exemplary, and the second indication information may also be used only to instruct the second device 102 to send auxiliary information.

步骤S2602，第二设备102向第一设备101发送所述辅助信息。Step S2602 : The second device 102 sends the auxiliary information to the first device 101 .

步骤S2603，第一设备101确定是否向所述第二设备102发送所述第一信息。Step S2603 : The first device 101 determines whether to send the first information to the second device 102 .

在一些实施例中，第一设备101可以基于辅助信息确定是否向第二设备102发送所述第一信息。确定方式与上述步骤S2502中的方式类似，在此不再赘述。In some embodiments, the first device 101 may determine, based on the auxiliary information, whether to send the first information to the second device 102. The determination method is similar to that in the above step S2502 and will not be repeated here.

步骤S2604，第一设备101向第二设备102发送第一信息。Step S2604 : The first device 101 sends first information to the second device 102 .

步骤S2604的实现方式与步骤S2102类似，在此不再赘述。The implementation of step S2604 is similar to that of step S2102 and will not be repeated here.

在一些实施例中，本公开实施例所涉及的信息传输方法可以包括步骤S2601～步骤S2604中的至少一者。例如，步骤S2601可以作为独立实施例来实施，步骤S2602可以作为独立实施例来实施，步骤S2601+S2602可以作为独立实施例来实施，步骤S2603可以作为独立实施例来实施，步骤S2604可以作为独立实施例来实施，步骤S2603+S2604可以作为独立实施例来实施，步骤S2601～步骤S2604可以作为独立实施例来实施，但不限于此。In some embodiments, the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2601 to S2604. For example, step S2601 can be implemented as an independent embodiment, step S2602 can be implemented as an independent embodiment, steps S2601+S2602 can be implemented as an independent embodiment, step S2603 can be implemented as an independent embodiment, step S2604 can be implemented as an independent embodiment, steps S2603+S2604 can be implemented as an independent embodiment, and steps S2601 to S2604 can be implemented as independent embodiments, but are not limited thereto.

在一些实施例中，步骤S2601是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第二设备102主动向第一设备101发送辅助信息时，步骤S2601可以不执行。In some embodiments, step S2601 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the second device 102 actively sends auxiliary information to the first device 101, step S2601 may not be performed.

在一些实施例中，步骤S2602是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101从其他执行主体处获取信息时，步骤S2602可以不执行。 In some embodiments, step S2602 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the first device 101 obtains information from other execution entities, step S2602 may not be performed.

在一些实施例中，步骤S2603是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第一设备101默认需要发送第一信息时，步骤S2603可以不执行。In some embodiments, step S2603 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the first device 101 needs to send the first information by default, step S2603 may not be performed.

在一些实施例中，步骤S2604是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。例如，第二设备102从其他执行主体处获取第一信息时，步骤S2604可以不执行。In some embodiments, step S2604 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the second device 102 obtains the first information from another execution entity, step S2604 may not be performed.

在一些实施例中，步骤S2601至S2604是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。In some embodiments, steps S2601 to S2604 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

上述实施例中，第一设备可以主动发起AI模型的识别过程，实现了识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the first device can actively initiate the AI model recognition process, thereby achieving the purpose of identifying the first AI model and/or the second AI model. The use of AI technology improves the reliability and availability of CSI transmission, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

图3A是根据本公开实施例示出的信息传输方法的交互示意图。如图3A所示，本公开实施例涉及信息传输方法，该方法可以由第一设备101执行，第一设备是已经获取了第一AI模型和/或第二AI模型的设备，可以为网络设备或终端，上述方法包括：Figure 3A is an interactive diagram of an information transmission method according to an embodiment of the present disclosure. As shown in Figure 3A, the present disclosure embodiment relates to an information transmission method, which can be executed by a first device 101. The first device is a device that has acquired the first AI model and/or the second AI model, and can be a network device or a terminal. The above method includes:

步骤S3101，发送第一信息。Step S3101, sending the first information.

在一些实施例中，第一设备101可以向第二设备102发送第一信息。In some embodiments, the first device 101 may send first information to the second device 102 .

在一些实施例中，第一信息至少用于识别第一AI模型和/或第二AI模型。In some embodiments, the first information is used at least to identify the first AI model and/or the second AI model.

在一些实施例中，第一设备101为网络设备，第二设备102为终端时，第一设备可以从第二设备处获取能力指示信息，并基于能力指示信息向第二设备102发送第一信息。具体可以参见图2A所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when the first device 101 is a network device and the second device 102 is a terminal, the first device can obtain capability indication information from the second device and, based on the capability indication information, send the first information to the second device 102. For details, please refer to other related parts of the embodiment involved in FIG2A, which will not be repeated here.

在一些实施例中，第一设备101为网络设备，第二设备102为终端时，第一设备可以向第二设备发送第二信息，由第二设备基于第二信息确定是否能够识别第一AI模型和/或所述第二AI模型，如果能够识别第一AI模型和/或所述第二AI模型，第二设备102可以向第一设备101发送第一指示信息，第一设备101基于第一指示信息向第二设备102发送第一信息。具体可以参见图2B所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when the first device 101 is a network device and the second device 102 is a terminal, the first device may send second information to the second device, and the second device may determine whether it can recognize the first AI model and/or the second AI model based on the second information. If the first AI model and/or the second AI model can be recognized, the second device 102 may send first indication information to the first device 101, and the first device 101 may send the first information to the second device 102 based on the first indication information. For details, please refer to other related parts of the embodiment involved in Figure 2B, and will not be repeated here.

在一些实施例中，第一设备101为网络设备，第二设备102为终端时，第一设备101可以向第二设备发送第二指示信息，第二设备102基于第二指示信息发送辅助信息给第一设备101，由第一设备101确定是否向所述第二设备102发送所述第一信息。进而在确定发送的情况下，向第二设备102发送所述第一信息。具体可以参见图2C所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when the first device 101 is a network device and the second device 102 is a terminal, the first device 101 may send second indication information to the second device. The second device 102 then sends auxiliary information to the first device 101 based on the second indication information. The first device 101 then determines whether to send the first information to the second device 102. If the decision is to send the first information, the first information is sent to the second device 102. For details, please refer to other related parts of the embodiment involved in FIG. 2C, which will not be repeated here.

在一些实施例中，第一设备101为终端，第二设备102为网络设备时，第一设备101可以接收第二设备102发送的辅助信息和/或第三指示信息，从而确定是否向第二设备102发送第一信息。在确定发送的情况下，向第二设备102发送所述第一信息。具体可以参见图2D所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when the first device 101 is a terminal and the second device 102 is a network device, the first device 101 may receive auxiliary information and/or third indication information sent by the second device 102, thereby determining whether to send the first information to the second device 102. If the decision is to send, the first information is sent to the second device 102. For details, please refer to other related parts of the embodiment involved in FIG2D, which will not be repeated here.

在一些实施例中，第一设备101为终端，第二设备102为网络设备时，第二设备102直接向第一设备101发送辅助信息和/或第三指示信息。第一设备101确定是否向第二设备102发送第一信息。在确定发送的情况下，向第二设备102发送所述第一信息。具体可以参见图2E所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when first device 101 is a terminal and second device 102 is a network device, second device 102 directly sends auxiliary information and/or third indication information to first device 101. First device 101 determines whether to send first information to second device 102. If the decision is to send, the first information is sent to second device 102. For details, please refer to other related parts of the embodiment involved in FIG. 2E, which will not be repeated here.

上述实施例中，第一设备可以通过向第二设备发送第一信息，实现识别识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the first device can achieve the purpose of identifying the first AI model and/or the second AI model by sending the first information to the second device. The use of AI technology improves the reliability and availability of transmitted CSI, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

图3B是根据本公开实施例示出的信息传输方法的交互示意图。如图3B所示，本公开实施例涉及信息传输方法，该方法可以由第二设备102执行，第二设备是未获取第一AI模型和/或第二AI模型的设备，可以为终端或网络设备，上述方法包括：FIG3B is an interactive diagram illustrating an information transmission method according to an embodiment of the present disclosure. As shown in FIG3B , the present disclosure embodiment relates to an information transmission method, which can be executed by a second device 102, which is a device that has not obtained the first AI model and/or the second AI model, and can be a terminal or a network device. The method includes:

步骤S3201，获取第一信息。Step S3201, obtain first information.

在一些实施例中，第二设备102可以从第一设备101处获取第一信息，但不限于此，也可以接收由其他主体发送的第一信息。In some embodiments, the second device 102 may obtain the first information from the first device 101 , but is not limited thereto. The second device 102 may also receive the first information sent by other entities.

在一些实施例中，第二设备102获取按照预定义规则确定的第一信息。In some embodiments, the second device 102 obtains the first information determined according to a predefined rule.

在一些实施例中，第二设备102进行处理从而得到第一信息。In some embodiments, the second device 102 performs processing to obtain the first information.

在一些实施例中，步骤S3201被省略，第二设备102自主实现第一信息所指示的功能，或第二设备102从其他网络节点获取第一信息，或上述功能为缺省或默认。In some embodiments, step S3201 is omitted, the second device 102 autonomously implements the function indicated by the first information, or the second device 102 obtains the first information from other network nodes, or the above function is default or default.

在一些实施例中，第一设备101为网络设备，第二设备102为终端时，第二设备102可以向第一设备101发送能力指示信息，由第一设备101基于能力指示信息向第二设备102发送第一信息。具体可以参见图2A所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when the first device 101 is a network device and the second device 102 is a terminal, the second device 102 may send capability indication information to the first device 101, and the first device 101 may send a first signal to the second device 102 based on the capability indication information. For details, please refer to other related parts of the embodiment involved in FIG2A, which will not be described here in detail.

在一些实施例中，第一设备101为网络设备，第二设备102为终端时，第二设备102可以从第一设备101处获取第二信息，由第二设备102基于第二信息确定是否能够识别第一AI模型和/或所述第二AI模型，如果能够识别第一AI模型和/或所述第二AI模型，第二设备102可以向第一设备101发送第一指示信息，第一设备101基于第一指示信息向第二设备102发送第一信息。具体可以参见图2B所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when the first device 101 is a network device and the second device 102 is a terminal, the second device 102 can obtain second information from the first device 101, and the second device 102 determines whether it can recognize the first AI model and/or the second AI model based on the second information. If the first AI model and/or the second AI model can be recognized, the second device 102 can send first indication information to the first device 101, and the first device 101 sends the first information to the second device 102 based on the first indication information. For details, please refer to other related parts of the embodiment involved in Figure 2B, and will not be repeated here.

在一些实施例中，第一设备101为网络设备，第二设备102为终端时，第二设备可以从第一设备101处获取第二指示信息，第二设备102基于第二指示信息发送辅助信息给第一设备101，由第一设备101确定是否向所述第二设备102发送所述第一信息，并在确定发送的情况下，向第二设备102发送所述第一信息。具体可以参见图2C所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when the first device 101 is a network device and the second device 102 is a terminal, the second device can obtain second indication information from the first device 101. The second device 102 sends auxiliary information to the first device 101 based on the second indication information. The first device 101 determines whether to send the first information to the second device 102, and if it is determined to send the first information, sends the first information to the second device 102. For details, please refer to other related parts of the embodiment involved in Figure 2C, which will not be repeated here.

在一些实施例中，第一设备101为终端，第二设备102为网络设备时，第二设备102可以向第一设备101发送辅助信息和/或第三指示信息，从而由第一设备101确定是否向第二设备102发送第一信息。在确定发送的情况下，向第二设备102发送所述第一信息。具体可以参见图2D所涉及的实施例中其他关联部分，此处不再赘述。In some embodiments, when the first device 101 is a terminal and the second device 102 is a network device, the second device 102 may send auxiliary information and/or third indication information to the first device 101, so that the first device 101 determines whether to send the first information to the second device 102. If the first information is determined to be sent, the first information is sent to the second device 102. For details, please refer to other related parts of the embodiment involved in Figure 2D, which will not be repeated here.

上述实施例中，第二设备可以获取第一信息，实现识别识别第一AI模型和/或第二AI模型的目的，采用AI技术提高了传输CSI的可靠性和可用性，减少了终端的反馈开销，且提高了CSI的反馈精度。In the above embodiment, the second device can obtain the first information to achieve the purpose of identifying the first AI model and/or the second AI model. The use of AI technology improves the reliability and availability of transmitted CSI, reduces the feedback overhead of the terminal, and improves the feedback accuracy of CSI.

下面对上述方法进一步举例说明如下。The above method is further illustrated below with examples.

对于双边模型的CSI压缩反馈，若终端侧或网络设备侧部署了Encoder/Decoder模型，本公开实施例给给出了相应的模型识别方法和流程。For the CSI compression feedback of the bilateral model, if the Encoder/Decoder model is deployed on the terminal side or the network device side, the embodiment of the present disclosure provides a corresponding model identification method and process.

首先，关于模型标识的分配、Encoder和Decoder模型之间的映射关系可以通过离线方式确定(当然也可以在模型识别过程中确定，如果在模型识别过程中确定映射关系，则该部分内容与模型识别过程融合)。具体如下：First, the assignment of model identifiers and the mapping relationship between the Encoder and Decoder models can be determined offline (of course, they can also be determined during the model identification process. If the mapping relationship is determined during the model identification process, this part of the content will be integrated with the model identification process). The details are as follows:

通过表1中的Type 1/Type 2/Type 3方法完成相关模型训练后，终端侧或网络设备侧将获得Encoder/Decoder model(第一AI模型/第二AI模型)。基于终端侧或网络设备侧的私下协商预定义方式，确定模型标识。After completing the relevant model training using the Type 1/Type 2/Type 3 methods in Table 1, the terminal or network device will obtain the Encoder/Decoder model (first AI model/second AI model). The model identifier is determined based on a predefined method privately negotiated by the terminal or network device.

标识标识可以是为：Encoder/Decoder model分别分配相应的model ID，或者为一个Encoder和一个Decoder分配的一个配对标识(Pair ID)，或者把Encoder/Decoder或成对的Encoder和Decoder关联一个训练数据集ID；或把Encoder/Decoder或成对的Encoder和Decoder关联一个训练会话ID。The identification identifier can be: assigning corresponding model IDs to the Encoder/Decoder model respectively, or assigning a pairing identifier (Pair ID) to an Encoder and a Decoder, or associating the Encoder/Decoder or a pair of Encoder and Decoder with a training dataset ID; or associating the Encoder/Decoder or a pair of Encoder and Decoder with a training session ID.

对于更新的Encoder/Decoder Model，可以在模型识别期间再分配新的Model ID，并可通过空口信令把更新后的model ID指示给对端。或者，把更新的Pairing ID，或者把更新的Encoder/Decoder model关联的Dataset ID或训练会话ID指示给对端。For updated encoder/decoder models, a new model ID can be assigned during model recognition and the updated model ID can be indicated to the peer via air interface signaling. Alternatively, the updated pairing ID, or the dataset ID or training session ID associated with the updated encoder/decoder model can be indicated to the peer.

对于已部署或更新的Encoder/Decoder model，通过Encoder model ID和Decoder model ID，或者pair ID,Dataset ID、训练会话ID建立一个Encoder model对应一个Decoder model的映射关系，或一个Encoder/Decoder对应多个Decoder/Encoder的映射关系。所述的pair ID是指成对的Encoder和Decoder分配一个ID。For deployed or updated encoder/decoder models, a mapping relationship is established between one encoder model and one decoder model, or between one encoder/decoder and multiple decoders/encoders, using the encoder model ID and decoder model ID, or the pair ID, dataset ID, and training session ID. The pair ID refers to the ID assigned to each encoder and decoder pair.

模型识别过程如下：The model identification process is as follows:

Case 1，网络设备侧基于训练类型Type1/2/3，已获得了Encoder/Decoder模型。即第一设备101为网络设备。Case 1: The network device has obtained an encoder/decoder model based on training types 1/2/3. That is, the first device 101 is a network device.

方式1(Type B2)，对于网络设备侧发起模型识别，可根据以下方法完成UE和NW之间的模型识别：Mode 1 (Type B2): For model identification initiated by the network device, model identification between the UE and the NW can be completed according to the following methods:

例如图4A所示，网络设备根据终端上报的所能支持的AI模型能力，若判定终端能够支持待传的Encoder和/或Decoder，网络设备把该Encoder和/或Decoder和/或者Encoder和Decoder对应的模型ID发送给终端。For example, as shown in Figure 4A, based on the AI model capabilities reported by the terminal, if the network device determines that the terminal can support the encoder and/or decoder to be transmitted, the network device sends the encoder and/or decoder and/or the model ID corresponding to the encoder and decoder to the terminal.

例如图4B所示，网络设备指示把待传的Encoder/Decoder和/或对应的model ID的信息发送给终端，包括以下步骤：For example, as shown in FIG4B , the network device instructs the transmission of the encoder/decoder and/or the corresponding model ID information to the terminal, including the following steps:

步骤S4201，网络设备发送第二信息给终端。 Step S4201: The network device sends second information to the terminal.

其中，第二信息可以包括但不限于以下至少一项：所述第一AI模型；所述第二AI模型；训练数据集；配置参数；模型标识。Among them, the second information may include but is not limited to at least one of the following: the first AI model; the second AI model; the training data set; the configuration parameters; and the model identifier.

步骤S4202，终端发送第一指示信息给网络设备。Step S4202: The terminal sends first indication information to the network device.

在一些实施例中，终端基于第二信息确定是否能够识别第一AI模型和/或第二AI模型，能够识别的情况下，发送第一指示信息给网络设备。In some embodiments, the terminal determines whether the first AI model and/or the second AI model can be recognized based on the second information, and if it can be recognized, sends first indication information to the network device.

步骤S4203，网络设备根据第一指示信息发送第一信息给终端。Step S4203: The network device sends first information to the terminal according to the first instruction information.

第一信息所包括的具体内容已经在前述实施例进行了介绍，此处不再赘述。The specific content included in the first information has been introduced in the above embodiment and will not be repeated here.

例如图4C所示，网络设备指示终端上报额外信息(即辅助信息)后再传递第一信息，包括以下步骤：For example, as shown in FIG4C , the network device instructs the terminal to report additional information (i.e., auxiliary information) and then transmit the first information, including the following steps:

步骤S4301，网络设备发送第二指示信息给终端。Step S4301: The network device sends second indication information to the terminal.

第二指示信息用于指示所述终端发送辅助信息，所述辅助信息用于辅助所述网络设备确定是否向终端发送所述第一信息。The second indication information is used to instruct the terminal to send auxiliary information, and the auxiliary information is used to assist the network device in determining whether to send the first information to the terminal.

步骤S4302，终端基于第二指示信息上报辅助信息。Step S4302: The terminal reports auxiliary information based on the second indication information.

步骤S4303，网络设备根据终端上报的辅助信息，确定是否发送第一信息给终端。确定发送时，向终端发送第一信息。In step S4303, the network device determines whether to send the first information to the terminal based on the auxiliary information reported by the terminal. If it is determined to send, the network device sends the first information to the terminal.

方式2:(Type B1)，对于终端侧发起模型识别方法，例如图4D所示，包括以下步骤：Method 2: (Type B1), for the terminal side to initiate the model recognition method, as shown in Figure 4D, includes the following steps:

步骤S4401，终端发送辅助信息和/或第三指示信息给网络设备。Step S4401: The terminal sends auxiliary information and/or third indication information to the network device.

步骤S4402，网络设备根据接收的辅助信息和/或第三指示信息确定是否向终端发送第一信息。确定发送时，向终端发送第一信息。Step S4402: The network device determines whether to send first information to the terminal according to the received auxiliary information and/or third indication information. If it is determined to send, the network device sends the first information to the terminal.

需要说明的是，上述传递的Encoder/Decoder(或第一AI模型/第二AI模型)可以是在网络设备侧已部署或更新后的Model。It should be noted that the Encoder/Decoder (or first AI model/second AI model) transmitted above can be a model that has been deployed or updated on the network device side.

Case 2:终端侧基于训练类型Type1/2/3，已获得了Encoder/Decoder模型。即第一设备101为终端。Case 2: The terminal side has obtained the Encoder/Decoder model based on training types Type 1/2/3. That is, the first device 101 is the terminal.

方式1(Type B2)，对于网络设备侧发起模型识别流程例如图4E所示，可以包括以下步骤：Method 1 (Type B2), for initiating the model recognition process on the network device side, as shown in Figure 4E, may include the following steps:

步骤S4501，网络设备向终端发送辅助信息和/或第三指示信息。Step S4501: The network device sends auxiliary information and/or third indication information to the terminal.

步骤S4502，终端根据接收的辅助信息和/或第三指示信息，判定是否向网络设备发送第一信息。若可以发送，终端向网络设备发送第一信息。In step S4502, the terminal determines whether to send the first information to the network device based on the received auxiliary information and/or the third indication information. If it is possible to send, the terminal sends the first information to the network device.

方式2(Type B1)，对于终端侧发起模型识别流程例如图4F所示：Method 2 (Type B1), for the terminal side to initiate the model recognition process, as shown in Figure 4F:

步骤S4601，终端向网络设备发送第二指示信息。Step S4601: The terminal sends second indication information to the network device.

步骤S4602，网络设备根据接收的第二指示信息向终端发送辅助信息。Step S4602: The network device sends auxiliary information to the terminal according to the received second indication information.

步骤S4603，终端根据辅助信息确定是否向网络设备发送所述第一信息。确定发送时，向网络设备发送第一信息。Step S4603: The terminal determines whether to send the first information to the network device based on the auxiliary information. If it is determined to send, the terminal sends the first information to the network device.

在上述实施例中，case1和Case2中所述传递的Encoder/Decoder可以是在网络设备侧或终端侧已部署或更新后的Model。In the above embodiment, the Encoder/Decoder transferred in Case 1 and Case 2 may be a Model that has been deployed or updated on the network device side or the terminal side.

示例性地，Case1和Case2中所述的Model ID可以Encoder和Decoder分别对应的model ID，或成对的Encoder和Decoder分配一个Pair ID，或者是某个成对的Encoder和Decoder关联的Dataset ID或训练会话ID。For example, the Model ID described in Case 1 and Case 2 can be the model ID corresponding to the Encoder and Decoder respectively, or a Pair ID assigned to a pair of Encoder and Decoder, or a Dataset ID or training session ID associated with a pair of Encoder and Decoder.

实施例1(Case 1)，网络设备侧基于训练类型Type1，可获得不同场景或不同配置下的Encoder和Decoder模型。假设网络设备和终端已经通过离线协商方式，把终端所能支持的Encoder/Decoder的模式ID发送给终端了。In Example 1 (Case 1), the network device can obtain encoder and decoder models for different scenarios or configurations based on training type 1. It is assumed that the network device and the terminal have already sent the terminal the mode IDs of the encoder/decoder that the terminal supports through offline negotiation.

当终端接入网络后，终端将通过能力上报的方式把支持AI模型的ID或其它的辅助信息如场景信息或支持的各种配置能力信息发送给网络设备。网络设备将根据终端上报的模型ID和/或辅助信息，把所训练的Encoder/Decoder发送给终端。在接下来的推理过程中，终端将基于接收的Encoder压缩CSI，把压缩后的码字信息经过量化后上报给网络设备，网络设备将基于与该Encoder对应的Decoder经过推理恢复CSI。When a terminal accesses the network, it will send the ID of the supported AI model or other auxiliary information, such as scenario information or information about supported configuration capabilities, to the network device through capability reporting. Based on the model ID and/or auxiliary information reported by the terminal, the network device will send the trained encoder/decoder to the terminal. During the subsequent inference process, the terminal will compress the CSI based on the received encoder, quantize the compressed codeword information, and report it to the network device. The network device will then recover the CSI through inference based on the decoder corresponding to the encoder.

若网络设备侧包含了多个Encoder和Decoder，可通过预定义的方式确定Encoder和Decoder之间映射关系。例如，Encoder和Decoder采用相同的model ID，如表2所示。If the network device includes multiple encoders and decoders, the mapping between encoders and decoders can be determined using a predefined method. For example, the encoder and decoder use the same model ID, as shown in Table 2.

表2，多个Encoder和多个Decoder的对应关系
Table 2, the correspondence between multiple encoders and multiple decoders

若存在一个Encoder对应多个Decoder时候，预定义对应关系，如表3所示。If one encoder corresponds to multiple decoders, the corresponding relationship is predefined, as shown in Table 3.

表3，一个Encoder和多个Decoder的对应关系
Table 3, the correspondence between one encoder and multiple decoders

或者，定义多个pair ID，如,4所示。Alternatively, define multiple pair IDs, as shown in 4.

表4，通过引入pair ID指示一个Encoder和多个Decoder的对应关系
Table 4: Introducing pair ID to indicate the correspondence between an encoder and multiple decoders

如果网络设备更新了网络设备侧的Decoder，网络设备侧的Decoder ID可以更新一个对应的ID。更新的ID可以指示或不指示给终端，如果指示给了终端，可以由终端更新Encoder和Decoder之间的对应关系。If the network device updates its decoder, the decoder ID on the network device can be updated with a corresponding ID. The updated ID may or may not be indicated to the terminal. If indicated to the terminal, the terminal can update the correspondence between the encoder and decoder.

相应地，如果是终端侧更新了终端侧的Encoder，终端也可以把更新的Encoder ID指示给网络设备侧，让网络设备侧更新Encoder和Decoder之间的对应关系。Correspondingly, if the terminal side updates the Encoder on the terminal side, the terminal can also indicate the updated Encoder ID to the network device side, allowing the network device side to update the correspondence between the Encoder and Decoder.

若采用上述的图4B所示方法实现双边AI模型的识别，具体实现流程如下。If the method shown in FIG4B is used to realize the recognition of the bilateral AI model, the specific implementation process is as follows.

步骤1，网络设备把待传的Encoder/Decoder对应的model ID的指示信息，如Encoder ID1的指示信息(即第二信息)发送给终端。Step 1: The network device sends the indication information of the model ID corresponding to the encoder/decoder to be transmitted, such as the indication information of encoder ID1 (i.e., the second information), to the terminal.

步骤2，终端根据接收的model ID判定能否应用该模型进行推理。如终端当前的硬件环境能应用该model，那么终端将发送第一指示信息通知网络设备。Step 2: The terminal determines whether the model can be used for inference based on the received model ID. If the terminal's current hardware environment supports the model, the terminal sends a first indication message to the network device.

步骤3，网络设备根据终端发送的第一指示信息确定是否把Encoder/Decoder传递给终端。若可以传递向终端发送第一信息。终端后续可基于该模型进行推理，网络设备根据上述各表的映射关系可知采用哪个Decoder推理恢复出CSI。In step 3, the network device determines whether to transmit the encoder/decoder to the terminal based on the first indication information sent by the terminal. If so, the network device sends the first information to the terminal. The terminal can then perform inference based on the model. The network device determines which decoder to use for inference and CSI recovery based on the mapping relationships in the above tables.

上述只是对Case 1中图4B的模型识别流程给出了进行了举例，其它的模型流程也可根据对应方案的步骤完成，在此不再赘述。The above is just an example of the model recognition process in Figure 4B of Case 1. Other model processes can also be completed according to the steps of the corresponding solution, which will not be repeated here.

实施例2(Case 2)，假设终端通过Type 3训练了Encoder，然后把训练Decoder的数据集发送给网络设备侧，网络设备侧基于该数据集的训练获得decoder。由于不同的数据集可能训练出不同的Encoder和Decoder，Encoder和decoder之间的对应关系可通过传输的数据集Dataset确定。In Example 2 (Case 2), assume that the terminal has trained the encoder using Type 3 and then sends the dataset used to train the decoder to the network device. The network device then obtains the decoder based on the dataset. Because different datasets may produce different encoders and decoders, the correspondence between the encoder and decoder can be determined by the transmitted dataset.

假设终端侧支持UMA、UMI和Indoor场景的AI模型推理，并且在每个场景下都部署了的3个Encoder和对应的Decoder，并且在每个场景下训练模型对应的数据集分别定义为dataset ID0,dataset ID1和dataset ID2。若采用模型识别的方式2，终端侧和网络设备侧可通过以下步骤实现：Assume that the terminal supports AI model inference for UMA, UMI, and Indoor scenarios, and that three encoders and corresponding decoders are deployed in each scenario. The datasets for training the models in each scenario are defined as dataset ID0, dataset ID1, and dataset ID2, respectively. If model recognition method 2 is used, the terminal and network device can implement this through the following steps:

步骤1，网络设备给终端配置信息指示网络设备可支持的场景，如支持当前的场景为UMA。UE根据此配置信息，向NW侧发送信令指示该场景下的3个Encoder/Decoder对应的Dataset ID指示信息，如dataset ID2，dataset ID3和dataset ID4。In step 1, the network device configures the terminal to indicate the scenarios it supports, such as the current scenario being UMA. Based on this configuration information, the UE sends signaling to the network network, indicating the corresponding dataset IDs for the three encoders/decoders in this scenario, such as dataset ID2, dataset ID3, and dataset ID4.

步骤2，网络设备根据接收的Dataset ID指示信息确定网络设备侧只支持dataset ID2和dataset ID3所对应的Decoder，并向终端发送信令指示不支持dataset ID4对应的Decoder。In step 2, the network device determines that the network device side only supports the decoders corresponding to dataset ID2 and dataset ID3 based on the received Dataset ID indication information, and sends a signaling to the terminal to indicate that the decoder corresponding to dataset ID4 is not supported.

步骤3，终端根据网络设备发送的指示信息确定网络设备侧支持dataset ID2和Dataset ID3对应的Decoder。基于之前训练模型时Dataset ID和Encoder与Decoder之间的对应关系可知，网络设备侧和终端侧实现dataset ID2和dataset ID3对应的Encoder和Decoder模型识别，用于后续的CSI压缩反馈推理。In step 3, the terminal determines whether the network device supports the decoders corresponding to dataset ID 2 and dataset ID 3 based on the instructions sent by the network device. Based on the correspondence between dataset IDs and encoders and decoders during model training, the network device and terminal implement the encoder and decoder models corresponding to dataset ID 2 and dataset ID 3 for subsequent CSI compression feedback inference.

本公开实施例还提出用于实现以上任一方法的装置，例如，提出一装置，上述装置包括用以实现以上任一方法中地面网络设备(例如E-UTRAN TN的网络设备等)所执行的各步骤的单元或模块。再如，还提出另一装置，包括用以实现以上任一方法中终端所执行的各步骤的单元或模块。The present disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terrestrial network device (e.g., an E-UTRAN TN network device) in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods.

应理解以上装置中各单元或模块的划分仅是一种逻辑功能的划分，在实际实现时可以全部或部分集成到一个物理实体上，也可以物理上分开。此外，装置中的单元或模块可以以处理器调用软件的形式实现：例如装置包括处理器，处理器与存储器连接，存储器中存储有指令，处理器调用存储器中存储的指令，以实现以上任一方法或实现上述装置各单元或模块的功能，其中处理器例如为通用处理器，例如中央处理单元(Central Processing Unit，CPU)或微处理器，存储器为装置内的存储器或装置外的存储器。或者，装置中的单元或模块可以以硬件电路的形式实现，可以通过对硬件电路的设计实现部分或全部单元或模块的功能，上述硬件电路可以理解为一个或多个处理器；例如，在一种实现中，上述硬件电路为专用集成电路(application-specific integrated circuit，ASIC)，通过对电路内元件逻辑关系的设计，实现以上部分或全部单元或模块的功能；再如，在另一种实现中，上述硬件电路为可以通过可编程逻辑器件(programmable logic device，PLD)实现，以现场可编程门阵列(Field Programmable Gate Array，FPGA)为例，其可以包括大量逻辑门电路，通过配置文件来配置逻辑门电路之间的连接关系，从而实现以上部分或全部单元或模块的功能。以上装置的所有单元或模块可以全部通过处理器调用软件的形式实现，或全部通过硬件电路的形式实现，或部分通过处理器调用软件的形式实现，剩余部分通过硬件电路的形式实现。It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the above units or modules are realized by designing the logical relationship of the elements in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be implemented by a programmable logic device (PLD), taking a field programmable gate array (FPGA) as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices may be implemented entirely by a processor calling software, or entirely by hardware circuits, or partially by a processor calling software and the rest by hardware circuits.

在本公开实施例中，处理器是具有信号处理能力的电路，在一种实现中，处理器可以是具有指令读取与运行能力的电路，例如中央处理单元(Central Processing Unit，CPU)、微处理器、图形处理器(graphics processing unit，GPU)(可以理解为微处理器)、或数字信号处理器(digital signal processor，DSP)等；在另一种实现中，处理器可以通过硬件电路的逻辑关系实现一定功能，上述硬件电路的逻辑关系是固定的或可以重构的，例如处理器为专用集成电路(application-specific integrated circuit，ASIC)或可编程逻辑器件(programmable logic device，PLD)实现的硬件电路,例如FPGA。在可重构的硬件电路中，处理器加载配置文档，实现硬件电路配置的过程，可以理解为处理器加载指令，以实现以上部分或全部单元或模块的功能的过程。此外，还可以是针对人工智能设计的硬件电路，其可以理解为ASIC，例如神经网络处理单元(Neural Network Processing Unit，NPU)、张量处理单元(Tensor Processing Unit，TPU)、深度学习处理单元(Deep learning Processing Unit，DPU)等。In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of a hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document to implement the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as ASIC, such as the Neural Network Processing Unit (NPU), the Tensor Processing Unit (TPU), the Deep Learning Processing Unit (DPU), etc.

图5A是本公开实施例提出的第一设备的结构示意图。如图5A所示，第一设备5100可以包括：收发模块5101。FIG5A is a schematic diagram of the structure of a first device according to an embodiment of the present disclosure. As shown in FIG5A , the first device 5100 may include a transceiver module 5101 .

在一些实施例中，上述收发模块5101被配置为向第二设备发送第一信息，所述第一信息至少用于识别第一人工智能AI模型和/或第二AI模型，所述第一AI模型用于对信道状态信息CSI进行压缩，所述第二AI模型用于对压缩后的CSI进行解压缩。In some embodiments, the transceiver module 5101 is configured to send first information to a second device, where the first information is at least used to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

可选地，上述收发模块5101用于执行以上任一方法中第一设备5100执行的发送和/或接收等通信步骤(例如步骤S2101、步骤S2102、步骤S2201、步骤S2203、步骤S2204、步骤S2301、步骤S2302、步骤S2303、步骤S2305、步骤S2401、步骤S2403、步骤S2501、步骤S2503、步骤S2601、步骤S2602、步骤S2604，但不限于此)中的至少一者，此处不再赘述。Optionally, the above-mentioned transceiver module 5101 is used to execute at least one of the communication steps such as sending and/or receiving performed by the first device 5100 in any of the above methods (for example, step S2101, step S2102, step S2201, step S2203, step S2204, step S2301, step S2302, step S2303, step S2305, step S2401, step S2403, step S2501, step S2503, step S2601, step S2602, step S2604, but not limited to these), which will not be repeated here.

图5B是本公开实施例提出的第二设备的结构示意图。如图5B所示，第二设备5200可以包括：收发模块5201。FIG5B is a schematic diagram of the structure of a second device according to an embodiment of the present disclosure. As shown in FIG5B , the second device 5200 may include a transceiver module 5201 .

在一些实施例中，上述收发模块5201被配置为接收第一设备发送的第一信息，所述第一信息至少用于识别第一人工智能AI模型和/或第二AI模型，所述第一AI模型用于对信道状态信息CSI进行压缩，所述第二AI模型用于对压缩后的CSI进行解压缩。In some embodiments, the transceiver module 5201 is configured to receive first information sent by a first device, where the first information is used at least to identify a first artificial intelligence AI model and/or a second AI model, where the first AI model is used to compress channel state information CSI, and the second AI model is used to decompress the compressed CSI.

可选地，上述收发模块5201用于执行以上任一方法中第二设备5200可执行的发送和/或接收等通信步骤(例如步骤S2101、步骤S2102、步骤S2201、步骤S2203、步骤S2204、步骤S2301、步骤S2302、步骤S2303、步骤S2305、步骤S2401、步骤S2403、步骤S2501、步骤S2503、步骤S2601、步骤S2602、步骤S2604，但不限于此)中的至少一者，此处不再赘述。Optionally, the above-mentioned transceiver module 5201 is used to execute at least one of the communication steps such as sending and/or receiving that can be executed by the second device 5200 in any of the above methods (for example, step S2101, step S2102, step S2201, step S2203, step S2204, step S2301, step S2302, step S2303, step S2305, step S2401, step S2403, step S2501, step S2503, step S2601, step S2602, step S2604, but not limited to these), which will not be repeated here.

在一些实施例中，收发模块可以包括发送模块和/或接收模块，发送模块和接收模块可以是分离的，也可以集成在一起。可选地，收发模块可以与收发器相互替换。In some embodiments, the transceiver module may include a transmitting module and/or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

图6A是本公开实施例提出的通信设备6100的结构示意图。通信设备6100可以是网络设备，也可以是支持网络设备实现以上任一方法的芯片、芯片系统、或处理器等，还可以是支持终端实现以上任一方法的芯片、芯片系统、或处理器等。通信设备6100可用于实现上述方法实施例中描述的方法，具体可以参见上述方法实施例中的说明。Figure 6A is a schematic diagram of the structure of a communication device 6100 proposed in an embodiment of the present disclosure. Communication device 6100 can be a network device, or a chip, chip system, or processor that supports a network device in implementing any of the above methods. It can also be a chip, chip system, or processor that supports a terminal in implementing any of the above methods. Communication device 6100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

如图6A所示，通信设备6100包括一个或多个处理器6101。处理器6101可以是通用处理器或者专用处理器等，例如可以是基带处理器或中央处理器。基带处理器可以用于对通信协议以及通信数据进行处理，中央处理器可以用于对通信装置(如，基站、基带芯片，终端设备、终端设备芯片，DU或CU等)进行控制，执行程序，处理程序的数据。通信设备6100用于执行以上任一方法。As shown in Figure 6A, the communication device 6100 includes one or more processors 6101. Processor 6101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, baseband chip, terminal device, terminal device chip, DU or CU, etc.), execute programs, and process program data. The communication device 6100 is used to perform any of the above methods.

在一些实施例中，通信设备6100还包括用于存储指令的一个或多个存储器6102。可选地，全部或部分存储器6102也可以处于通信设备6100之外。In some embodiments, the communication device 6100 further includes one or more memories 6102 for storing instructions. Optionally, all or part of the memories 6102 may be located outside the communication device 6100.

在一些实施例中，通信设备6100还包括一个或多个收发器6103。在通信设备6100包括一个或多个收发器6103时，收发器6103执行上述方法中的发送和/或接收等通信步骤(例如步骤S2101、步骤S2102、步骤S2201、步骤S2203、步骤S2204、步骤S2301、步骤S2302、步骤S2303、步骤S2305、步骤S2401、步骤S2403、步骤S2501、步骤S2503、步骤S2601、步骤S2602、步骤S2604，但不限于此)中的至少一者，处理器6101执行其他步骤(例如步骤S2202、步骤S2304、步骤S2402、步骤S2502、步骤S2603，但不限于此)中的至少一者。In some embodiments, the communication device 6100 further includes one or more transceivers 6103. When the communication device 6100 includes one or more transceivers 6103, the transceiver 6103 performs at least one of the communication steps such as sending and/or receiving in the above method (for example, step S2101, step S2102, step S2201, step S2203, step S2204, step S2301, step S2302, step S2303, step S2305, step S2401, step S2403, step S2501, step S2503, step S2601, step S2602, and step S2604, but not limited thereto), and the processor 6101 performs at least one of the other steps (for example, step S2202, step S2304, step S2402, step S2502, and step S2603, but not limited thereto).

在一些实施例中，收发器可以包括接收器和/或发送器，接收器和发送器可以是分离的，也可以集成在一起。可选地，收发器、收发单元、收发机、收发电路等术语可以相互替换，发送器、发送单元、发送机、发送电路等术语可以相互替换，接收器、接收单元、接收机、接收电路等术语可以相互替换。In some embodiments, the transceiver may include a receiver and/or a transmitter. The receiver and the transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc. may be interchangeable, the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc. may be interchangeable, and the terms receiver, receiving unit, receiver, receiving circuit, etc. may be interchangeable. The terms can be used interchangeably.

在一些实施例中，通信设备6100可以包括一个或多个接口电路6104。可选地，接口电路6104与存储器6102连接，接口电路6104可用于从存储器6102或其他装置接收信号，可用于向存储器6102或其他装置发送信号。例如，接口电路6104可读取存储器6102中存储的指令，并将该指令发送给处理器6101。In some embodiments, the communication device 6100 may include one or more interface circuits 6104. Optionally, the interface circuit 6104 is connected to the memory 6102. The interface circuit 6104 may be configured to receive signals from the memory 6102 or other devices, and may be configured to send signals to the memory 6102 or other devices. For example, the interface circuit 6104 may read instructions stored in the memory 6102 and send the instructions to the processor 6101.

以上实施例描述中的通信设备6100可以是网络设备或者终端，但本公开中描述的通信设备6100的范围并不限于此，通信设备6100的结构可以不受图6A的限制。通信设备可以是独立的设备或者可以是较大设备的一部分。例如通信设备可以是：1)独立的集成电路IC，或芯片，或，芯片系统或子系统；(2)具有一个或多个IC的集合，可选地，上述IC集合也可以包括用于存储数据，程序的存储部件；(3)ASIC，例如调制解调器(Modem)；(4)可嵌入在其他设备内的模块；(5)接收机、终端设备、智能终端设备、蜂窝电话、无线设备、手持机、移动单元、车载设备、网络设备、云设备、人工智能设备等等；(6)其他等等。The communication device 6100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 6100 described in the present disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited to FIG6A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

图6B是本公开实施例提出的芯片6200的结构示意图。对于通信设备6200可以是芯片或芯片系统的情况，可以参见图6B所示的芯片6200的结构示意图，但不限于此。6B is a schematic diagram of the structure of a chip 6200 according to an embodiment of the present disclosure. If the communication device 6200 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 6200 shown in FIG6B , but the present disclosure is not limited thereto.

芯片6200包括一个或多个处理器6201，芯片6200用于执行以上任一方法。The chip 6200 includes one or more processors 6201 , and the chip 6200 is configured to execute any of the above methods.

在一些实施例中，芯片6200还包括一个或多个接口电路6202。可选地，接口电路6202与存储器6203连接，接口电路6202可以用于从存储器6203或其他装置接收信号，接口电路6202可用于向存储器6203或其他装置发送信号。例如，接口电路6202可读取存储器6203中存储的指令，并将该指令发送给处理器6201。In some embodiments, the chip 6200 further includes one or more interface circuits 6202. Optionally, the interface circuit 6202 is connected to the memory 6203. The interface circuit 6202 can be used to receive signals from the memory 6203 or other devices, and can be used to send signals to the memory 6203 or other devices. For example, the interface circuit 6202 can read instructions stored in the memory 6203 and send the instructions to the processor 6201.

在一些实施例中，接口电路6202执行上述方法中的发送和/或接收等通信步骤(例如步骤S2101、步骤S2102、步骤S2201、步骤S2203、步骤S2204、步骤S2301、步骤S2302、步骤S2303、步骤S2305、步骤S2401、步骤S2403、步骤S2501、步骤S2503、步骤S2601、步骤S2602、步骤S2604，但不限于此)中的至少一者，处理器6201执行其他步骤(例如步骤S2202、步骤S2304、步骤S2402、步骤S2502、步骤S2603，但不限于此)中的至少一者。In some embodiments, the interface circuit 6202 executes at least one of the communication steps such as sending and/or receiving in the above method (for example, step S2101, step S2102, step S2201, step S2203, step S2204, step S2301, step S2302, step S2303, step S2305, step S2401, step S2403, step S2501, step S2503, step S2601, step S2602, step S2604, but not limited to these), and the processor 6201 executes at least one of the other steps (for example, step S2202, step S2304, step S2402, step S2502, step S2603, but not limited to these).

在一些实施例中，接口电路、接口、收发管脚、收发器等术语可以相互替换。In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

在一些实施例中，芯片6200还包括用于存储指令的一个或多个存储器6203。可选地，全部或部分存储器6203可以处于芯片6200之外。In some embodiments, the chip 6200 further includes one or more memories 6203 for storing instructions. Alternatively, all or part of the memories 6203 may be located outside the chip 6200.

本公开还提出存储介质，上述存储介质上存储有指令，当上述指令在通信设备6100上运行时，使得通信设备6100执行以上任一方法。可选地，上述存储介质是电子存储介质。可选地，上述存储介质是计算机可读存储介质，但不限于此，其也可以是其他装置可读的存储介质。可选地，上述存储介质可以是非暂时性(non-transitory)存储介质，但不限于此，其也可以是暂时性存储介质。The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 6100, the communication device 6100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.

本公开还提出程序产品，上述程序产品被通信设备6100执行时，使得通信设备6100执行以上任一方法。可选地，上述程序产品是计算机程序产品。The present disclosure also provides a program product, which, when executed by the communication device 6100, enables the communication device 6100 to perform any of the above methods. Optionally, the program product is a computer program product.

本公开还提出计算机程序，当其在计算机上运行时，使得计算机执行以上任一方法。The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本公开的其它实施方案。本公开旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或者惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求指出。Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。 It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

An information transmission method, characterized in that the method is performed by a first device and includes:

First information is sent to a second device, where the first information is at least used to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

The method according to claim 1, further comprising:

The second device is a terminal, and receives capability indication information sent by the second device, where the capability indication information is used to indicate AI model capabilities supported by the second device;

The sending the first information to the second device includes:

The capability indication information indicates that the second device supports the first AI model and/or the second AI model, and the first information is sent to the second device.

The method according to claim 2, wherein the capability indication information includes at least one of the following:

an AI model identifier supported by the second device;

The AI model structure supported by the second device.

The method according to claim 1, further comprising:

The second device is a terminal, and second information is sent to the second device. The second information is used by the second device to determine whether it can recognize the first AI model and/or the second AI model, and determine to receive the first information when it can be recognized.

The method according to claim 4, wherein the second information includes at least one of the following:

the first AI model;

the second AI model;

A training dataset, where the training dataset is a dataset used to train the first AI model and/or the second AI model;

Configuration parameters, where the configuration parameters correspond to the first AI model and/or the second AI model;

A model identifier, where the model identifier is used to identify the first AI model and/or the second AI model.

The method according to claim 4 or 5, characterized in that the method further comprises:

receiving first indication information sent by the second device, where the first indication information is used to instruct the second device to determine to receive the first information;

The sending the first information to the second device includes:

Based on the first indication information, the first information is sent to the second device.

The method according to any one of claims 1 to 3, further comprising:

Sending second indication information to the second device, where the second indication information is used to instruct the second device to send auxiliary information, where the auxiliary information is used to assist the first device in determining whether to send the first information to the second device;

receiving the auxiliary information sent by the second device based on the second indication information;

Based on the auxiliary information, it is determined whether to send the first information to the second device.

The method according to claim 1, further comprising:

receiving auxiliary information and/or third indication information sent by the second device, where the auxiliary information is used to assist the first device in determining whether to send the first information to the second device, and the third indication information is used to instruct the first device to send the first information to the second device;

Based on the auxiliary information and/or the third indication information, determine whether to send the first information to the second device.

The method according to claim 7 or 8, wherein the auxiliary information includes at least one of the following:

Channel scenario information;

mobility information of the second device;

software parameter information of the second device;

Hardware parameter information of the second device.

The method according to any one of claims 1 to 9, wherein the first information includes at least one of the following:

a model identifier, where the model identifier is used to identify the first AI model and/or the second AI model;

the first AI model;

the second AI model;

A training data set, where the training data set is a data set used to train the first AI model and/or the second AI model.

The method according to any one of claims 3, 5 or 9, wherein the model identification includes at least one of the following:

First AI model identification;

Second AI model identification;

Updated first AI model identification;

Updated second AI model identifier;

a pairing identifier, where the pairing identifier is used to identify a pairing between the first AI model and the second AI model;

a training session identifier, the training session identifier being associated with the first AI model and/or the second AI model;

A training data set identifier, where the training data set identifier is associated with the first AI model and/or the second AI model.

An information transmission method, characterized in that the method is performed by a second device, comprising:

Receive first information sent by a first device, where the first information is used at least to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

The method according to claim 12, further comprising:

The second device is a terminal, which sends capability indication information to the first device, where the capability indication information is used to indicate the AI model capabilities supported by the second device.

The method according to claim 13, wherein the capability indication information includes at least one of the following:

Model identifiers supported by the second device;

A model structure supported by the second device.

The method according to claim 12, further comprising:

The second device is a terminal, which receives second information sent by the first device. The second information is used by the second device to determine whether it can recognize the first AI model and/or the second AI model, and determine to receive the first information when it can be recognized.

The method according to claim 14, wherein the second information includes at least one of the following:

the first AI model;

the second AI model;

The method according to claim 16, characterized in that the method further comprises any one of the following:

The second information includes the training data set, and determines that the first AI model and/or the second AI model can be identified;

supporting the first AI model and/or the second AI model included in the second information, and determining that the first AI model and/or the second AI model can be recognized;

The first AI model and/or the second AI model included in the second information is not supported, and it is determined that the first AI model and/or the second AI model cannot be identified.

The method according to any one of claims 15 to 17, further comprising:

Determine that the first AI model and/or the second AI model can be recognized, and send first indication information to the first device, where the first indication information is used to instruct the second device to determine to receive the first information.

The method according to any one of claims 12 to 14, further comprising:

receiving second indication information sent by the first device, where the second indication information is used to instruct the second device to send auxiliary information, where the auxiliary information is used to assist the first device in determining whether to send the first information to the second device;

Based on the second indication information, the auxiliary information is sent to the first device.

The method according to claim 12, further comprising:

Auxiliary information and/or third indication information are sent to the first device, where the auxiliary information is used to assist the first device in determining whether to send the first information to the second device, and the third indication information is used to instruct the first device to send the first information to the second device.

The method according to claim 19 or 20, wherein the auxiliary information includes at least one of the following:

Channel scenario information;

mobility information of the second device;

software parameter information of the second device;

Hardware parameter information of the second device.

The method according to any one of claims 12 to 21, wherein the first information includes at least one of the following:

the first AI model;

the second AI model;

The method according to any one of claims 14, 16 or 22, wherein the model identification includes the following One less item:

First AI model identification;

Second AI model identification;

Updated first AI model identification;

Updated second AI model identifier;

A first device, comprising:

The transceiver module is configured to send first information to the second device, where the first information is used at least to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

A second device, comprising:

The transceiver module is configured to receive first information sent by a first device, where the first information is used at least to identify a first artificial intelligence (AI) model and/or a second AI model, where the first AI model is used to compress channel state information (CSI), and the second AI model is used to decompress the compressed CSI.

A first device, comprising:

one or more processors;

The processor is configured to execute the information transmission method according to any one of claims 1 to 11.

A second device, comprising:

one or more processors;

The processor is configured to execute the information transmission method according to any one of claims 12 to 23.

A communication system, comprising:

A first device, wherein the first device is configured to implement the information transmission method according to any one of claims 1 to 11;

The second device is configured to implement the information transmission method according to any one of claims 12 to 23.

A storage medium storing instructions, characterized in that when the instructions are executed on a communication device, the communication device executes the information transmission method according to any one of claims 1-11 or 12-23.

A computer program product, comprising a computer program, characterized in that when the computer program is executed by a processor, it is used to implement the information transmission method according to any one of claims 1 to 11 or 12 to 23.