DQN-Based Adaptive Modulation Scheme Over Wireless Communication Channels

Lee, Donggu; Sun, Young Ghyu; Kim, Soo Hyun; Sim, Isaac; Hwang, Yu Min; Shin, Yoan; Kim, Dong In; Kim, Jin Young

doi:10.1109/LCOMM.2020.2978390

상세 보기

DQN-Based Adaptive Modulation Scheme Over Wireless Communication Channels

Lee, Donggu;
Sun, Young Ghyu;
Kim, Soo Hyun;
Sim, Isaac;
Hwang, Yu Min;
... Shin, Yoan;
외 2명

Citations

WEB OF SCIENCE

29

Citations

SCOPUS

36

초록

In this letter, to improve data rate over wireless communication channels, we propose a deep Q network (DQN)-based adaptive modulation scheme by using Markov decision process (MDP) model. The proposed algorithm makes the reinforcement learning agent to select rate region boundaries as the states, which divide signal-to-noise ratio (SNR) range into rate regions. The simulation results show that spectral efficiency can be improved on the average by 0.5395 bps/Hz in wide SNR range.

키워드

Modulation; Signal to noise ratio; Learning (artificial intelligence); Adaptation models; Wireless communication; Adaptive systems; Neural networks; Adaptive modulation; deep learning; deep Q network; reinforcement learning

제목: DQN-Based Adaptive Modulation Scheme Over Wireless Communication Channels

저자: Lee, Donggu; Sun, Young Ghyu; Kim, Soo Hyun; Sim, Isaac; Hwang, Yu Min; Shin, Yoan; Kim, Dong In; Kim, Jin Young

DOI: 10.1109/LCOMM.2020.2978390

발행일: 2020-06

유형: Article

저널명: IEEE Communications Letters

권: 24

호: 6

페이지: 1289 ~ 1293