RIS-Aided D2D Communications Relying on Statistical CSI with Imperfect Hardware

TL;DR

This paper explores RIS-assisted D2D communication over Rician channels with hardware impairments, optimizing phase shifts via genetic algorithms and analyzing the impact of hardware imperfections on achievable rates.

Contribution

It introduces a novel optimization of phase shifts considering hardware impairments and provides closed-form expressions for achievable rates under various impairment scenarios.

Findings

Hardware impairments significantly reduce achievable rates.

Genetic algorithm effectively optimizes phase shifts for maximum rate.

Analytic expressions match simulation results accurately.

Abstract

In this letter, we investigate a reconfigurable intelligent surfaces (RIS)-aided device to device (D2D) communication system over Rician fading channels with imperfect hardware including both hardware impairment at the transceivers and phase noise at the RISs. This paper has optimized the phase shift by a genetic algorithm (GA) method to maximize the achievable rate for the continuous phase shifts (CPSs) and discrete phase shifts (DPSs). We also consider the two special cases of no RIS hardware impairments (N-RIS-HWIs) and no transceiver hardware impairments (N-T-HWIs). We present closed-form expressions for the achievable rate of different cases and study the impact of hardware impairments on the communication quality. Finally, simulation results validate the analytic work.