Tabu-based adaptive large neighborhood search aids irregular reconfigurable intelligent surface capacity enhancement

Songyue Yang; Zhiguo Sun; Rongchen Sun

doi:10.1117/12.3032019

8 June 2024 Tabu-based adaptive large neighborhood search aids irregular reconfigurable intelligent surface capacity enhancement

Songyue Yang, Zhiguo Sun, Rongchen Sun

Author Affiliations +

Proceedings Volume 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024); 1317122 (2024) https://doi.org/10.1117/12.3032019
Event: 3rd International Conference on Algorithms, Microchips and Network Applications (AMNA 2024), 2024, Jinan, China

Abstract

The development of 6G has led to the need for communication systems to realize low latency, high throughput and stable connectivity. To achieve these goals, Reconfigurable Intelligent Surface has emerged. However, for RIS with massive elements, the overhead caused by channel estimation and feedback is not negligible. In this article, we address this problem using irregular RIS, which essentially involves irregularly rationing a specified number of reflective elements on an RIS surface, by providing additional spatial degrees of freedom to achieve performance gains. To this end, we formulate the problem of joint topology and precoding matrix joint optimization with tabu-based adaptive large neighborhood search for channel capacity maximization.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Songyue Yang, Zhiguo Sun, and Rongchen Sun "Tabu-based adaptive large neighborhood search aids irregular reconfigurable intelligent surface capacity enhancement", Proc. SPIE 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024), 1317122 (8 June 2024); https://doi.org/10.1117/12.3032019

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