Deep Reinforcement Learning-Based Energy Efficiency Optimization for RIS-Aided Integrated Satellite-Aerial-Terrestrial Relay Networks-Reference-Cited by-同舟云学术

Deep Reinforcement Learning-Based Energy Efficiency Optimization for RIS-Aided Integrated Satellite-Aerial-Terrestrial Relay Networks

Author:

Wu Min¹^ORCID,Guo Kefeng¹^ORCID,Li Xingwang²^ORCID,Lin Zhi³^ORCID,Wu Yongpeng⁴^ORCID,Tsiftsis Theodoros A.⁵^ORCID,Song Houbing⁶^ORCID

Affiliation:

1. School of Space Information, Space Engineering University, Beijing, China

2. School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China

3. College of Electronic Engineering, National University of Defense Technology, Hefei, China

4. Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China

5. Department of Informatics and Telecommunications, University of Thessaly, Lamia, Greece

6. Department of Information Systems, University of Maryland, Baltimore County, Baltimore, MD, USA

Funder

National Natural Science Foundation of China

Research Foundation of the Key Laboratory of Spaceborne Information Intelligent Interpretation

Electronic Information Equipment System Research National Defense Science and Technology Key Laboratory Fund

Key Research and Development Project of Henan Province

“Double First-Class” Discipline Creation Project of Surveying Science and Technology

Research Plan Project of NUDT

Young Elite Scientist Sponsorship Program of CAST

Fundamental Research Funds for the Central Universities, National Science Foundation

111

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference69 articles.

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