📝 SummarXiv

Abstract

Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology in wireless communication, enabling dynamic control over signal propagation. This paper tackles the challenge of mitigating Channel State Information (CSI) perturbations in RIS-aided systems, particularly for secure communication scenarios. Leveraging a first-order approximation technique, we develop a robust approach that strengthens the resilience of RIS configurations against CSI imperfections. The study considers both untrusted user interception and stealth radar applications, focusing on optimizing signal reflection and transmission in the presence of eavesdroppers. Simulation results demonstrate notable gains in security and efficiency while maintaining low computational complexity. By extending the stability range, the proposed method updates RIS elements using only a few matrix-vector multiplications, eliminating the need for repeated inverse or pseudo-inverse computations under small channel perturbations. Additionally, the framework provides a baseline for quantifying algorithmic sensitivity to CSI variations. Overall, the findings underscore the potential of RIS to enable secure and reliable communication in next-generation networks such as 6G.