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.
Original language | English |
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Title of host publication | 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 6 |
ISBN (Electronic) | 9798350329285 |
ISBN (Print) | 9798350329292 |
DOIs | |
Publication status | Published - 11 Dec 2023 |
Event | 2023 IEEE 98th Vehicular Technology Conference - Hong Kong, Hong Kong Duration: 10 Oct 2023 → 13 Oct 2023 https://events.vtsociety.org/vtc2023-fall/ |
Publication series
Name | IEEE Vehicular Technology Conference |
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Publisher | IEEE |
ISSN (Print) | 1090-3038 |
ISSN (Electronic) | 2577-2465 |
Conference
Conference | 2023 IEEE 98th Vehicular Technology Conference |
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Abbreviated title | VTC2023-Fall |
Country/Territory | Hong Kong |
City | Hong Kong |
Period | 10/10/23 → 13/10/23 |
Internet address |
Bibliographical note
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