Deep Reinforcement Learning for Interference Suppression in RIS-Aided High-Speed Railway Networks-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Interference Suppression in RIS-Aided High-Speed Railway Networks

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Communications Workshops (ICC Workshops)
language:
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Author:

Xu Jianpeng¹,Ai Bo²,Quek Tony Q. S.³,Liuc Yupei⁴

Affiliation:

1. Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China

2. Zhengzhou University,Zhengzhou,China

3. Information Systems Technology and Design Pillar, Singapore University of Technology and Design,Singapore

4. University of Science and Technology Beijing,Beijing,China

Funder

National Key Research and Development Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9813727/9813734/09814619.pdf?arnumber=9814619

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulated Annealing Genetic Algorithm based RIS Phase Optimization in the High-Speed Communication of the Railways;2023 8th International Conference on Communication, Image and Signal Processing (CCISP);2023-11-17

2. Review on Channel Estimation for Reconfigurable Intelligent Surface Assisted Wireless Communication System;Mathematics;2023-07-23

3. RIS-Aided Proactive Mobile Network Downlink Interference Suppression: A Deep Reinforcement Learning Approach;Sensors;2023-07-20

4. Reconfigurable Intelligent Surface Assisted Railway Communications: A survey;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

5. A Survey on Reinforcement Learning for Reconfigurable Intelligent Surfaces in Wireless Communications;Sensors;2023-02-24

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