Deep Reinforcement Learning based Spectral Efficiency Maximization in STAR-RIS-Assisted Indoor Outdoor Communication-Reference-Cited by-同舟云学术

Deep Reinforcement Learning based Spectral Efficiency Maximization in STAR-RIS-Assisted Indoor Outdoor Communication

Published:2023-05-08 Issue: Volume: Page:
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Container-title:NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
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Author:

Aung Pyae Sone¹,Nguyen Loc X.¹,Tun Yan Kyaw²,Han Zhu³,Hong Choong Seon¹

Affiliation:

1. Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea

2. Division of Network and Systems Engineering, School of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology, Brinellvägen 8,Stockholm,Sweden,114 28

3. University of Houston,Department of Electrical and Computer Engineering,Houston,TX,USA

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10154252/10154208/10154352.pdf?arnumber=10154352

Reference19 articles.

1. Meta-Wall: Intelligent Omni-Surfaces Aided Multi-Cell MIMO Communications

2. Multi-Hop RIS-Empowered Terahertz Communications: A DRL-Based Hybrid Beamforming Design

3. Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) Assisted UAV Communications

4. Energy-Efficient Wireless Communications With Distributed Reconfigurable Intelligent Surfaces

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