A DRL-based Reflection Enhancement Method for RIS-assisted Multi-receiver Communications

• URL: http://arxiv.org/abs/2309.05343v1
• Date: Mon, 11 Sep 2023 09:43:59 GMT
• Title: A DRL-based Reflection Enhancement Method for RIS-assisted Multi-receiver Communications
• Authors: Wei Wang and Peizheng Li and Angela Doufexi and Mark A Beach
• Abstract summary: Superposition of multiple single-reflection profiles enables multi-reflection for distributed users. The combination of periodical single-reflection profiles leads to amplitude/phase counteractions, affecting the performance of each reflection beam. This paper focuses on a dual-reflection optimization scenario and investigates the far-field performance deterioration caused by the misalignment of overlapped profiles.
• Score: 4.598835930908191
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In reconfigurable intelligent surface (RIS)-assisted wireless communication systems, the pointing accuracy and intensity of reflections depend crucially on the 'profile,' representing the amplitude/phase state information of all elements in a RIS array. The superposition of multiple single-reflection profiles enables multi-reflection for distributed users. However, the optimization challenges from periodic element arrangements in single-reflection and multi-reflection profiles are understudied. The combination of periodical single-reflection profiles leads to amplitude/phase counteractions, affecting the performance of each reflection beam. This paper focuses on a dual-reflection optimization scenario and investigates the far-field performance deterioration caused by the misalignment of overlapped profiles. To address this issue, we introduce a novel deep reinforcement learning (DRL)-based optimization method. Comparative experiments against random and exhaustive searches demonstrate that our proposed DRL method outperforms both alternatives, achieving the shortest optimization time. Remarkably, our approach achieves a 1.2 dB gain in the reflection peak gain and a broader beam without any hardware modifications.

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