Method for controlling calculations of deep neural network in wireless communication system, and apparatus therefor

    公开(公告)号:US12273159B2

    公开(公告)日:2025-04-08

    申请号:US18042107

    申请日:2020-08-20

    Abstract: Disclosed is a method by which a terminal controls the calculations of a deep neural network in a wireless communication system. A method according to one embodiment of the present disclosure receives a downlink from a base station of a wireless communication system by using a multi input multi output (MIMO) operation, pre-processes the downlink on the basis of a result of calculations of a deep neural network in a terminal, acquires the number of a plurality of transmission antennas connected to the terminal, acquires the number of a plurality of reception antennas connected to the terminal, and forms a plurality of overlapping neural networks overlapping in the deep neural network, on the basis of a preset number of reference antennas, the number of transmission antennas, and the number of reception antennas. The terminal of the present disclosure can be linked to an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 6G services, and the like.

    COMMUNICATION METHOD AND SERVER FOR DISTRIBUTED LEARNING BY WHICH SERVER DERIVES FINAL LEARNING RESULTS ON BASIS OF LEARNING RESULTS OF PLURALITY OF DEVICES

    公开(公告)号:US20230325634A1

    公开(公告)日:2023-10-12

    申请号:US18024635

    申请日:2020-09-03

    CPC classification number: G06N3/045

    Abstract: Disclosed is a communication method for distributed learning by which a server derives a final learning result on the basis of learning results of a plurality of devices. A communication method for distributed learning, according to the present disclosure, comprises steps in which: a server receives position information about each of a plurality of devices; the server configures, on the basis of the position information, a primary group including at least two primary devices from among the plurality of devices; the server configures, on the basis of channel state information, a secondary group including at least one secondary device from among the primary devices; and secondary devices belonging to different secondary groups use different time slots or different frequency regions to communicate with the server by a non-orthogonal scheme. A terminal of the present disclosure may be linked to an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 6G service, and the like.

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