Genetic Multi-Agent Reinforcement Learning for Multiple Double-Sided STAR-RISs in Full-Duplex MIMO Networks-Reference-Cited by-同舟云学术

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Genetic Multi-Agent Reinforcement Learning for Multiple Double-Sided STAR-RISs in Full-Duplex MIMO Networks

Published:2024-06-09 Issue: Volume: Page:5003-5008
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Li Yu-Ting¹,Shen Li-Hsiang²,Feng Kai-Ten¹,Chan Ching-Yao³

Affiliation:

1. National Yang Ming Chiao Tung University,Department of Electronics and Electrical Engineering,Hsinchu,Taiwan

2. National Central University,Department of Communication Engineering,Taoyuan,Taiwan

3. University of California,California PATH,Berkeley,USA

Funder

STEM Project

Ministry of Education (MoE)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622497.pdf?arnumber=10622497

Reference24 articles.

1. Five Facets of 6G: Research Challenges and Opportunities

2. STAR: Simultaneous Transmission and Reflection for 360° Coverage by Intelligent Surfaces

3. Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications

4. Simultaneously Transmitting and Reflecting (STAR)-RISs: A Coupled Phase-Shift Model

5. Coupled Phase-Shift STAR-RISs: A General Optimization Framework

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