Yangkun Zhu , Wenquan Cao , Chong He , Ning Wang , Jiemin Jing
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引用次数: 0
Abstract
A Genetic Algorithm (GA)-based sparse array strategy is introduced to mitigate the performance degradation of Reconfigurable Intelligent Surfaces (RIS) in satellite communication systems due to reconfigurable element failures in this paper. Such failures hinder real-time adjustment via Field Programmable Gate Array (FPGA), leading to permanent open or short circuit conditions. Modeling the remaining operational elements as sparse array elements and optimizing their states with a GA, a new compensation phase distribution can be obtained. Based on this optimized result, the phase states of the remaining operational elements can be dynamically adjusted using an FPGA, thereby mitigating the degradation in RIS radiation performance. This study systematically analyzes the impact of varying failure rates on RIS performance and evaluates the effects of different beam steering angles at a failure rate of 50 % with identical failed elements. The experimental results show the RIS performance enhancement, with a maximum peak gain improvement of 3.26 dB under varying failure rates and 7.1 dB with different beam steering angles.
期刊介绍:
AEÜ is an international scientific journal which publishes both original works and invited tutorials. The journal''s scope covers all aspects of theory and design of circuits, systems and devices for electronics, signal processing, and communication, including:
signal and system theory, digital signal processing
network theory and circuit design
information theory, communication theory and techniques, modulation, source and channel coding
switching theory and techniques, communication protocols
optical communications
microwave theory and techniques, radar, sonar
antennas, wave propagation
AEÜ publishes full papers and letters with very short turn around time but a high standard review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities.