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Main Authors: Chêne, Thomas, Bounhar, Oumaïma, Othman, Ghaya Rekaya-Ben, Damen, Oussama
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2505.01478
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author Chêne, Thomas
Bounhar, Oumaïma
Othman, Ghaya Rekaya-Ben
Damen, Oussama
author_facet Chêne, Thomas
Bounhar, Oumaïma
Othman, Ghaya Rekaya-Ben
Damen, Oussama
contents Reconfigurable Intelligent Surfaces (RIS) appear as a promising solution to combat wireless channel fading and interferences. However, the elements of the RIS need to be properly oriented to boost the data transmission rate. In this work, we propose a new strategy to adaptively configure the RIS without Channel State Information (CSI). Our goal is to minimize the number of RIS configurations to be tested to find the optimal one. We formulate the problem as a stochastic shortest path problem, and use Q-Learning to solve it.
format Preprint
id arxiv_https___arxiv_org_abs_2505_01478
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Adaptive Passive Beamforming in RIS-Aided Communications With Q-Learning
Chêne, Thomas
Bounhar, Oumaïma
Othman, Ghaya Rekaya-Ben
Damen, Oussama
Information Theory
Signal Processing
Reconfigurable Intelligent Surfaces (RIS) appear as a promising solution to combat wireless channel fading and interferences. However, the elements of the RIS need to be properly oriented to boost the data transmission rate. In this work, we propose a new strategy to adaptively configure the RIS without Channel State Information (CSI). Our goal is to minimize the number of RIS configurations to be tested to find the optimal one. We formulate the problem as a stochastic shortest path problem, and use Q-Learning to solve it.
title Adaptive Passive Beamforming in RIS-Aided Communications With Q-Learning
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2505.01478