公开(公告)号：US12273159B2

公开(公告)日：2025-04-08

申请号：US18042107

申请日：2020-08-20

Applicant: LG ELECTRONICS INC.

Inventor： Kijun Jeon ,  Sangrim Lee ,  Hojae Lee ,  Ikjoo Jung ,  Taehyun Lee

IPC: H04B7/0404 ,  G06N3/045 ,  H04B7/0452

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.

公开(公告)号：US11522639B2

公开(公告)日：2022-12-06

申请号：US17035953

申请日：2020-09-29

Applicant: LG ELECTRONICS INC.

Inventor： Sunam Kim ,  Ilhwan Kim ,  Jongku Lee ,  Ikjoo Jung

IPC: H04L1/00 ,  H04L1/18 ,  H04B7/06 ,  G06N3/02 ,  H04L5/00

Abstract: Provided is a method for transmitting or receiving data, by a user equipment (UE), to or from a base station (BS). The method includes transmitting, by the UE, capability information of the UE to the BS, wherein the capability information includes information related to artificial intelligence (AI) calculation for the data transmission or reception, receiving, by the UE, at least one of a plurality of AI parameters from the BS, and applying the at least one AI parameter to an encoding process for the data transmission or a decoding process for the data reception, wherein the encoding process or the decoding process is performed by information on a network structure in the at least one AI parameter, and wherein the at least one AI parameter comprises a plurality of information for performing the encoding process or the decoding process by the network structure.