qos驱动的RIS控制的内存增强进化策略

2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI) Pub Date : 2023-07-23 DOI:10.1109/USNC-URSI52151.2023.10238118

F. Zardi, G. Oliveri, M. Salucci, A. Massa

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引用次数: 0

摘要

操作可重构智能表面(RIS)需要一种能够应对不断变化的传播环境的控制策略。本文提出了使用记忆增强进化策略来利用以前发现的好的解决方案，并促进对高维解决方案空间的探索。所提出的方法不需要在RIS上进行通道传感，其潜力在小规模数值分析中得到了证明。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Memory-Enhanced Evolutionary Strategy for QoS-Driven RIS Control

Operating Reconfigurable Intelligent Surfaces (RIS) requires a control strategy capable of coping with a constantly changing propagation environment. The use of a memory-enhanced evolutionary strategy is proposed here to exploit good solutions found at previous times and boost the exploration of the highly-dimensional solution space. The proposed approach does not require channel sensing at the RIS and its potentiality is demonstrated in a small-scale numerical analysis.

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)

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