Joint Multi-Objective Optimization for Radio Access Network Slicing Using Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Joint Multi-Objective Optimization for Radio Access Network Slicing Using Multi-Agent Deep Reinforcement Learning

Author:

Zhou Guorong¹^ORCID,Zhao Liqiang¹^ORCID,Zheng Gan²^ORCID,Xie Zhijie³^ORCID,Song Shenghui³^ORCID,Chen Kwang-Cheng⁴^ORCID

Affiliation:

1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China

2. School of Engineering, University of Warwick, Coventry, U.K.

3. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong

4. Department of Electrical Engineering, University of South Florida, Tampa, FL, USA

Funder

National Key R&D Program of China

Key Research and Development Projects of Shaanxi Province

Key-Area Research and Development Program of Guangdong Province

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Hong Kong University of Science and Technology

Florida Center for Cybersecurity, University of South Florida

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference49 articles.

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