INFORMATION EXCHANGE METHOD AND RELATED APPARATUS

    公开(公告)号:US20250030614A1

    公开(公告)日:2025-01-23

    申请号:US18906370

    申请日:2024-10-04

    Abstract: This application relates to an information exchange method and a related apparatus. The method includes: A resource-limited node (for example, a STA) requests to enable an AI-assisted rate adaptation function, and after agreeing to the request, a node with a more powerful function (for example, an AP) sends, to the STA, related information of a neural network (such as a structure, a parameter, an input, and an output of the neural network) that has been trained, so that the STA determines the neural network based on the related information, and performs inference and decision-making based on data observed by the STA, to obtain a rate adaptation decision result. According to embodiments of this application, a basis can be provided for the resource-limited node to implement AI-assisted rate adaptation, and further, performance can be improved.

    COMMUNICATION METHOD AND RELATED APPARATUS
    2.
    发明公开

    公开(公告)号:US20240224330A1

    公开(公告)日:2024-07-04

    申请号:US18602264

    申请日:2024-03-12

    CPC classification number: H04W74/0816 H04B17/328 H04W24/02

    Abstract: The technology of this application relates to a communication method and a related apparatus. The method in embodiments of this application includes receiving, by a first device, first indication information from a second device, where the first indication information indicates the first device to enable or disable an intelligent channel access function, and the intelligent channel access function is a function of accessing a channel based on a channel access decision output by a neural network. The method further includes enabling or disabling, by the first device, the intelligent channel access function based on the first indication information. It can be learned that the first device may enable or disable the intelligent channel access function based on the first indication information, to enrich channel access functions supported by the first device. This helps avoid a communication collision between the first device and another device, to improve communication quality of the first device.

    CHANNEL ACCESS METHOD AND RELATED APPARATUS
    3.
    发明公开

    公开(公告)号:US20240129758A1

    公开(公告)日:2024-04-18

    申请号:US18541641

    申请日:2023-12-15

    CPC classification number: H04W24/02 H04L5/0053 H04W74/0808 H04W74/0866

    Abstract: In the method, an access point AP receives action information separately reported by N stations STAs, where N pieces of action information are used to determine a training result of a first neural network of each STA, and N is a positive integer. The AP determines the training result of the first neural network of each STA based on the N pieces of action information, and sends the training result of the first neural network of each STA to the corresponding STA. The training result of the first neural network of each STA is determined based on the action information reported by the N STAs, instead of only the action information of the STA. This can improve a prediction capability of the first neural network, help improve a capability of each STA to predict channel access behavior of another STA, and improve a system throughput and reduce a communication latency.

    CHANNEL ACCESS METHOD AND APPARATUS
    4.
    发明公开

    公开(公告)号:US20230345536A1

    公开(公告)日:2023-10-26

    申请号:US18342468

    申请日:2023-06-27

    CPC classification number: H04W74/0816 H04W72/1263 H04W24/02

    Abstract: The present disclosure relates to a channel access method and a channel access apparatus. In an example method, a first node obtains network status information in a target period. The network status information includes a first time segment and a second time segment. The first node inputs the network status information into a target neural network, to obtain a first prediction value and a second prediction value. The first node sends a to-be-sent packet to a second node through the shared channel in response to determining that the first prediction value is greater than the second prediction value.

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