Lightweight Gradient Descent Optimization for Mitigating Hardware Imperfections in RIS Systems

TL;DR

This paper proposes a lightweight gradient descent method to mitigate hardware imperfections in RIS systems, enhancing their practical deployment in future wireless communications.

Contribution

It introduces a novel gradient descent optimization technique specifically designed to compensate for hardware imperfections in RIS-aided systems.

Findings

The optimization effectively mitigates phase-shift noise.

It compensates for RIS surface deformations.

Numerical results demonstrate improved system performance.

Abstract

Ongoing discussions about the future of wireless communications are reaching a turning point as standardization activities for the sixth generation of mobile networks (6G) become more mature. New technologies must now face renewed scrutiny by the industry and academia in order to be ready for deployment in the near future. Recently, reconfigurable intelligent surfaces (RISs) gained attention as a promising solution for improving the propagation conditions of signal transmission in general. The RIS is a planar array of tunable resonant elements designed to dynamically and precisely manipulate the reflection of incident electromagnetic waves. However, the physical structure of the RIS and its components may be subject to practical limitations and imperfections. It is imperative that the hardware imperfections (HWIs) associated with the RIS be analyzed, so that it remains a feasible technology from a practical standpoint. Moreover, solutions for mitigating the HWIs must be considered, as is discussed in this work. More specifically, we introduce a gradient descent optimization for mitigating HWIs in RIS-aided wideband communication systems. Numerical results show that the proposed optimization is able to compensate for HWIs such as the phase-shift noise (PSN) and RIS surface deformations.