Deep Reinforcement Learning for RIS-Aided Multiuser Full-Duplex Secure Communications With Hardware Impairments-Reference-Cited by-同舟云学术

Deep Reinforcement Learning for RIS-Aided Multiuser Full-Duplex Secure Communications With Hardware Impairments

Published:2022-11-01 Issue:21 Volume:9 Page:21121-21135
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Peng Zhangjie¹^ORCID,Zhang Zhibo²^ORCID,Kong Lei³^ORCID,Pan Cunhua⁴^ORCID,Li Li²,Wang Jiangzhou⁵^ORCID

Affiliation:

1. College of Information, Mechanical and Electrical Engineering and the Shanghai Engineering Research Center of Intelligent Education and Bigdata, Shanghai Normal University, Shanghai, China

2. College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China

3. Pre-Research Department, New H3C Technologies Company Limited, Hangzhou, China

4. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

5. School of Engineering, University of Kent, Canterbury, U.K

Funder

Natural Science Foundation of Shanghai

Open Research Fund of National Mobile Communications Research Laboratory, Southeast University

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9926222/09781613.pdf?arnumber=9781613

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