Energy-Efficiency Maximization of Multiple RISs-Enabled Communication Networks by Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Energy-Efficiency Maximization of Multiple RISs-Enabled Communication Networks by Deep Reinforcement Learning

Published:2022-05-16 Issue: Volume: Page:
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Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Aung Pyae Sone¹,Kyaw Tun Yan¹,Han Zhu²,Hong Choong Seon¹

Affiliation:

1. Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea

2. University of Houston,Department of Electrical and Computer Engineering,Houston,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838468.pdf?arnumber=9838468

Reference22 articles.

1. Robust Secure UAV Communications With the Aid of Reconfigurable Intelligent Surfaces

2. Energy-efficient wireless communications with distributed reconfigurable intelligent surfaces;yang;IEEE Trans on Wireless Communications (early access),2021

3. Deep Reinforcement Learning for Energy-Efficient Networking with Reconfigurable Intelligent Surfaces

4. Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning

5. Reconfigurable Intelligent Surface-Assisted Aerial-Terrestrial Communications via Multi-Task Learning

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3. DRL-Based Transmission Design for Distributed STAR-RIS-aided Communications;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17

4. Double reconfigurable intelligent surface-assisted wireless communication system for energy efficiency improvement over weibull fading channels;Telecommunication Systems;2023-06-07

5. Deep Reinforcement Learning based Spectral Efficiency Maximization in STAR-RIS-Assisted Indoor Outdoor Communication;NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium;2023-05-08