Towards Interference Suppression: RIS-Aided High-Speed Railway Networks via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Towards Interference Suppression: RIS-Aided High-Speed Railway Networks via Deep Reinforcement Learning

Published:2022 Issue: Volume: Page:1-1
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Xu Jianpeng¹^ORCID,Ai Bo²^ORCID,Quek Tony Q. S.³^ORCID

Affiliation:

1. College of Electronic and Information Engineering, Hebei University, Baoding, China

2. State Key Laboratory of Rail Traffic Control and Safety, the School of Electronic and Information Engineering, and the Frontiers Science Center for Smart High-Speed Railway System, Beijing Jiaotong University, Beijing, China

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

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Open Research Fund from the Shenzhen Research Institute of Big Data

Royal Society Newton Advanced Fellowship

State Key Laboratory of Rail Traffic Control and Safety

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/4656680/09967967.pdf?arnumber=9967967

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