Energy Harvesting Design for Cooperative Reconfigurable Intelligent Surface with Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Energy Harvesting Design for Cooperative Reconfigurable Intelligent Surface with Multi-Agent Deep Reinforcement Learning

Published:2024-05-10 Issue: Volume: Page:42-46
ISSN:
Container-title:2024 10th IEEE International Conference on Intelligent Data and Security (IDS)
language:
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Author:

Tao Yihang¹,Wu Jun²,Pan Qianqian³,Chen Xiuzhen¹

Affiliation:

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China

2. Graduate School of Information, Production and Systems, Waseda University,Fukuoka,Japan

3. School of Engineering, the University of Tokyo,Department of Systems Innovation,Tokyo,Japan

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590070/10590615/10590663.pdf?arnumber=10590663

Reference21 articles.

1. Cooperative Beamforming Design for Multiple RIS-Assisted Communication Systems

2. Loop scheduling and bank type assignment for heterogeneous multi-bank memory

3. Throughput maximization for periodic real-time systems under the maximal temperature constraint

4. Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm

5. Towards Power-Efficient Smartphones by Energy-Aware Dynamic Task Scheduling

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