Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach

Author:

Shi Zhaoyuan1ORCID,Lu Huabing2ORCID,Xie Xianzhong3ORCID,Yang Helin4ORCID,Huang Chongwen5ORCID,Cai Jun6ORCID,Ding Zhiguo7ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing, China

2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

3. Chongqing Key Lab of Computer networks and Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

4. Department of Information and Communication Engineering, School of Informatics, Xiamen University, Xiamen, China

5. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

6. Network Intelligence and Innovation Lab (NI2L), Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

7. School of Electrical and Electronic Engineering, University of Manchester, Manchester, UK

Funder

Key Project on Anhui Provincial Natural Science Study by Colleges and Universities

the Key Project of Science and Technology Research of Chongqing Education Commission

National Nature Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy-efficient maximization algorithm for energy harvesting under imperfect channel information;Physical Communication;2024-10

2. Resource Management for Active RIS Aided Multi-Cluster SWIPT Cooperative NOMA Networks;IEEE Transactions on Network and Service Management;2024-08

3. DRL-based IRS-assisted Mobile Edge Computing;2024 5th Information Communication Technologies Conference (ICTC);2024-05-10

4. Performance Analysis of ARIS-NOMA Systems under Cascade Rician Channels;Symmetry;2024-03-07

5. Overlay Network with Non-orthogonal Multiple Access and Energy Harvesting: Performance Evaluation;Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2024-03-07

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