Samsung Electronics Co., Ltd.

Hyukyeon Lee

Junho Lee

Jaein Kim

Jaeseok Kim

Huiwon Je

Jinwon Choi

Seungjin Choi

Jonggun Moon

Jihun Koo

Hyunsub Kim

A method of performing beam training including obtaining at least one of a probability distribution and a value function for selecting one of a plurality of beams that are used to perform beamforming, selecting a candidate beam from among the plurality of beams based on the at least one of the probability distribution and the value function, the candidate beam being expected to be a best beam among the plurality of beams, performing a present training operation based on the candidate beam and a previous beam selected by at least one previous training operation, and selecting a better one of the candidate beam and the previous beam as a present beam based on a result of the present training operation may be provided.

Method of performing beam training based on reinforcement learning and wireless communication device performing the same

An electronic device and method for signal detection in a wireless communication system is provided. The electronic device includes a receiving unit configured to receive a radio frequency (RF) signal, a control unit configured to process the received signal, wherein processing the received signal comprises canceling a signal corresponding to a first stage in the received signal, detecting a signal corresponding to a second stage by applying lattice reduction, and determining a final detected signal by combining the detected signal corresponding to the second stage with candidates of the signal corresponding to the first stage.

Apparatus and method for signal detection in a wireless communication system

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Gangwon-do, South Korea

Hyukyeon Lee