Reflection Coefficients Optimization in IRS-assisted Communication: An Evolutionary Game Approach

Haixin Hu, Lixin Li, Wensheng Lin, Xu Li, Zhu Hant

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Intelligent reflecting surface (IRS) alters the signal propagation via tuning a large number of passive reflection units, and is a promising solution to enhance the wireless communication. In this paper, we aim to improve the level of mutual information of the IRS-assisted communication system by optimizing the IRS reflection coefficients. Specifically, in order to solve the established IRS reflection coefficients optimization problem, the dynamic adjustment process is first modeled as an evolutionary game (EG) model, and then the replication dynamic equations about the revenue function are established. Next, for the single-mode constraints of the reflection coefficients, the reinforcement learning (RL) method is adopted, and the strategy iteration algorithm is used to solve the evolutionary stability strategy. Simulation results demonstrate that our proposed algorithm achieves substantially increased mutual information compared to the traditional scheme without IRS and another benchmark scheme.

源语言英语
主期刊名13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781665407854
DOI
出版状态已出版 - 2021
活动13th International Conference on Wireless Communications and Signal Processing, WCSP 2021 - Virtual, Online, 中国
期限: 20 10月 202122 10月 2021

出版系列

姓名13th International Conference on Wireless Communications and Signal Processing, WCSP 2021

会议

会议13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
国家/地区中国
Virtual, Online
时期20/10/2122/10/21

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