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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.01478 |
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| _version_ | 1866912360091877376 |
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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 |