Deep Reinforcement Learning Based Joint Beam Allocation and Relay Selection in mmWave Vehicular Networks-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Based Joint Beam Allocation and Relay Selection in mmWave Vehicular Networks

Author:

Ju Ying¹^ORCID,Wang Haoyu²^ORCID,Chen Yuchao¹,Zheng Tong-Xing³^ORCID,Pei Qingqi¹^ORCID,Yuan Jinhong⁴^ORCID,Al-Dhahir Naofal⁵^ORCID

Affiliation:

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

2. School of Telecommunications Engineering, Xidian University, Xi’an, China

3. School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, China

4. School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia

5. Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Key Research and Development Programs of Shaanxi

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

China Postdoctoral Science Foundation

Natural Science Basic Research Plan of Shaanxi Province

Fundamental Research Funds for the Central Universities

Australian Research Council (ARC) Discovery

ARC Linkage Project

Erik Jonsson Distinguished Professorship at UT-Dallas

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

Reference36 articles.

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