Model-free Optimization and Experimental Validation of RIS-assisted Wireless Communications under Rich Multipath Fading
Abstract
Reconfigurable intelligent surface (RIS) devices have emerged as an effective way to control the propagation channels for enhancing the end-users' performance. However, RIS optimization involves configuring the radio frequency response of a large number of radiating elements, which is challenging in real-world applications due to high computational complexity. In this paper, a model-free cross-entropy (CE) algorithm is proposed to optimize the binary RIS configuration for improving the signal-to-noise ratio (SNR) at the receiver. One key advantage of the proposed method is that it only requires system performance indicators, e.g., the received SNR, without the need for channel models or channel state information. Both simulations and experiments are conducted to evaluate the performance of the proposed CE algorithm. This study provides an experimental demonstration of the channel hardening effect in a multi-antenna RIS-assisted wireless system under rich multipath fading.
Cite
@article{arxiv.2302.10561,
title = {Model-free Optimization and Experimental Validation of RIS-assisted Wireless Communications under Rich Multipath Fading},
author = {Tianrui Chen and Minglei You and Yangyishi Zhang and Gan Zheng and Jean Baptiste Gros and Geoffroy Lerosey and Youssef Nasser and Fraser Burton and Gabriele Gradoni},
journal= {arXiv preprint arXiv:2302.10561},
year = {2024}
}
Comments
accepted by IEEE Wireless Communications Letters