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.

    METHOD AND DEVICE FOR TRANSMITTING/RECEIVING WIRELESS SIGNAL IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20230079521A1

    公开(公告)日:2023-03-16

    申请号:US17799074

    申请日:2020-02-21

    Abstract: A method for receiving data by a terminal in a wireless communication system according to the present document comprises: receiving a channel signal and a reference signal (RS) from a base station; and generating a sequence by filtering the RS, and decoding the channel signal on the basis of the generated sequence, wherein the filtering is zero forcing (ZF) filtering, and the decoding of the channel signal is a selection of one parameter from among parameter sets generated in accordance with a colored-noise machine learning process.

    Method for decoding low density parity check (LDPC)-coded signal, and terminal therefor

    公开(公告)号:US11595155B2

    公开(公告)日:2023-02-28

    申请号:US17309931

    申请日:2019-01-09

    Abstract: Proposed is a method for a terminal to decode a signal. In particular, the method for a terminal to decode a signal comprises: a step for demodulating a first low density parity check (LDPC)-coded signal; and a step for decoding a second signal obtained from the first demodulated signal through a trained neural network. The second signal is obtained by using: an output sequence generated on the basis of the trained neural network; and a log likelihood ratio (LLR) sequence of the first signal.

    Method for transmitting or receiving signal in wireless communication system and device therefor

    公开(公告)号:US11343847B2

    公开(公告)日:2022-05-24

    申请号:US16488498

    申请日:2018-02-06

    Abstract: A method for a user equipment (UE) to transmit an uplink signal in a wireless communication system according to an embodiment of the present invention includes the steps of: determining a data transmission mode; and transmitting to a base station through a competition resource region, a control channel carrying control information including the data transmission mode, a data channel carrying at least one transmission block (TB), and a preamble, wherein the preamble indicates the position of a resource to which the control channel is mapped in the competition resource region, and the data transmission mode determined by the UE can correspond to one among a first transmission mode in which 1 TB is transmitted by being divided into N sub-blocks or a second transmission mode in which 1 TB is repeatedly transmitted M times. The UE is capable of communicating with at least one of another UE, a UE related to an autonomous driving vehicle, the base station or a network.

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