MULTI-CHANNEL LOW POWER COMMUNICATION METHOD AND APPARATUS
    5.
    发明申请
    MULTI-CHANNEL LOW POWER COMMUNICATION METHOD AND APPARATUS 有权
    多通道低功率通信方法和装置

    公开(公告)号:US20150103713A1

    公开(公告)日:2015-04-16

    申请号:US14487003

    申请日:2014-09-15

    CPC classification number: H04W52/0235 H04W74/0816 Y02D70/00 Y02D70/142

    Abstract: A multi-channel low power communication method and apparatus are provided. The multi-channel low power communication method may include transmitting request to send (RTS) to a receiver through a plurality of communication channels, receiving clear to send (CTS) from the receiver in response to the RTS, and transmitting a data packet through part or entire of at least one communication channel having received the CTS among the plurality of communication channels, wherein at least one of the RTS and the CTS comprises a multi-channel power save information field related to multi-channel power save.

    Abstract translation: 提供了一种多通道低功率通信方法和装置。 多信道低功率通信方法可以包括通过多个通信信道发送(RTS)到接收机的请求,响应于RTS从接收机接收清除发送(CTS),并通过部分发送数据分组 或者在多个通信信道中已经接收到CTS的至少一个通信信道的整体,其中RTS和CTS中的至少一个包括与多信道功率节省相关的多信道功率节省信息字段。

    METHOD AND APPARATUS FOR ARTIFICIAL NEURAL NETWORK BASED FEEDBACK

    公开(公告)号:US20240013031A1

    公开(公告)日:2024-01-11

    申请号:US18349005

    申请日:2023-07-07

    CPC classification number: G06N3/0455

    Abstract: An operation method of a first communication node may comprise: determining a latent space correction operation including a transformation operation for correcting latent data output from a first encoder of a first artificial neural network corresponding to the first communication node, based on information of a reference data set provided from a second communication node; encoding first input data including first feedback information through the first encoder; correcting first latent data output from the first encoder based on the determined latent space correction operation; and transmitting a first feedback signal including the corrected first latent data to the second communication node, wherein the corrected first latent data is decoded into first output data corresponding to the first input data in a second decoder of a second artificial neural network corresponding to the second communication node.

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