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Volume 9
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10.3390/electronics9111844
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Article

Deep Scanning—Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System

by
Minhoe Kim
1,
Woongsup Lee
2,* and
Dong-Ho Cho
3
1
Department of Communication Systems, EURECOM, 06410 Sophia-Antipolis, France
2
Department of Information and Communication Engineering, Institute of Marine Industry, Gyeongsang National University, Tongyeong 53064, Korea
3
Electrical Engineering School, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(11), 1844; https://doi.org/10.3390/electronics9111844
Submission received: 29 September 2020 / Revised: 22 October 2020 / Accepted: 27 October 2020 / Published: 4 November 2020
(This article belongs to the Special Issue Application of Artificial Intelligence and Deep Learning in Wireless Communications Systems)
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Abstract

In this paper, we investigate a deep learning based resource allocation scheme for massive multiple-input-multiple-output (MIMO) communication systems, where a base station (BS) with a large scale antenna array communicates with a user equipment (UE) using beamforming. In particular, we propose Deep Scanning, in which a near-optimal beamforming vector can be found based on deep Q-learning. Through simulations, we confirm that the optimal beam vector can be found with a high probability. We also show that the complexity required to find the optimum beam vector can be reduced significantly in comparison with conventional beam search schemes.
Keywords: beam search; deep reinforcement learning; massive MIMO; Q-learning beam search; deep reinforcement learning; massive MIMO; Q-learning

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MDPI and ACS Style

Kim, M.; Lee, W.; Cho, D.-H. Deep Scanning—Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System. Electronics 2020, 9, 1844. https://doi.org/10.3390/electronics9111844

AMA Style

Kim M, Lee W, Cho D-H. Deep Scanning—Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System. Electronics. 2020; 9(11):1844. https://doi.org/10.3390/electronics9111844

Chicago/Turabian Style

Kim, Minhoe, Woongsup Lee, and Dong-Ho Cho. 2020. "Deep Scanning—Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System" Electronics 9, no. 11: 1844. https://doi.org/10.3390/electronics9111844

APA Style

Kim, M., Lee, W., & Cho, D.-H. (2020). Deep Scanning—Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System. Electronics, 9(11), 1844. https://doi.org/10.3390/electronics9111844

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