Self-Sustainable Active Reconfigurable Intelligent Surfaces for Anti-Jamming in Wireless Communications
Yang Cao, Wenchi Cheng, Jingqing Wang, and Wei Zhang

TL;DR
This paper proposes a self-sustainable active reconfigurable intelligent surface system that uses energy harvesting from base station signals to enhance anti-jamming capabilities in wireless communications, reducing hardware complexity.
Contribution
It introduces a novel self-sustainable active RIS structure powered by energy harvesting and develops an optimized beamforming scheme to maximize system rate and anti-jamming performance.
Findings
The proposed BS harvesting scheme outperforms other schemes in anti-jamming effectiveness.
Simulation results show higher achievable rates with the developed scheme.
The system effectively enhances security without increasing hardware complexity.
Abstract
Wireless devices can be easily attacked by jammers during transmission, which is a potential security threat for wireless communications. Active reconfigurable intelligent surface (RIS) attracts considerable attention and is expected to be employed in anti-jamming systems for secure transmission to significantly enhance the anti-jamming performance. However, active RIS introduces external power load, which increases the complexity of hardware and restricts the flexible deployment of active RIS. To overcome these drawbacks, we design a innovative self-sustainable structure in this paper, where the active RIS is energized by harvesting energy from base station (BS) signals through the time dividing based simultaneous wireless information and power transfer (TD-SWIPT) scheme. Based on the above structure, we develop the BS harvesting scheme based on joint transmit and reflecting…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Advanced Wireless Communication Technologies · DNA and Biological Computing
