Energy-Efficient Cooperative Secure Communications in mmWave Vehicular Networks Using Deep Recurrent Reinforcement Learning

Author:

Ju Ying1ORCID,Gao Zipeng1,Wang Haoyu2ORCID,Liu Lei1ORCID,Pei Qingqi1ORCID,Dong Mianxiong3ORCID,Mumtaz Shahid4ORCID,Leung Victor C. M.5ORCID

Affiliation:

1. School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

2. Center for Pervasive Communications and Computing, University of California at Irvine, Irvine, CA, USA

3. Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan

4. Department of Applied Informatics, Silesian University of Technology, Gliwice, Poland

5. Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, China

Funder

National Natural Science Foundation of China

Innovation Capability Support Program of Shaanxi

6G-SENSES Project from the Smart Networks and Services Joint Undertaking (SNS JU) through European Union’s Horizon Europe Research and Innovation Programme

Guangdong “Pearl River Talent Recruitment Program”

Guangdong “Pearl River Talent Plan”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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