Abstract

Intelligent Reflecting Surfaces (IRSs) have recently emerged as a promising solution for realizing the smart radio environment concept by leveraging the characteristics of metamaterials and large antenna arrays. However, the existing works on IRS do not account for the transceiver impairments while analyzing the performance of IRS assisted wireless systems. This paper investigates the impact of transceiver hardware imperfections on the performance of IRS-assisted wireless systems. Specifically, we have analyzed the spectral efficiency (SE), the energy efficiency (EE) and the outage probability of IRS-assisted wireless systems by deriving their closed-form expressions and verifying them through simulation results. The results show the importance of modeling and compensating for hardware impairment as they significantly restrict the performance of such systems.

Highlights

  • H IGH throughput and high energy efficiency are the two key requirements for modern communication systems

  • MOTIVATION AND CONTRIBUTIONS Inspired by the current research in Intelligent Reflecting Surfaces (IRSs), in this paper, we investigate the impact of hardware impairments on the performance of a IRS-assisted wireless system

  • This work considers the impact of transceiver impairment on the performance of IRS-assisted wireless systems

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Summary

INTRODUCTION

H IGH throughput and high energy efficiency are the two key requirements for modern communication systems. In [21] and [25], the authors have derived the upper-bound for the error performance of IRS-assisted wireless systems. A self-sustainable IRS have been proposed for a wireless powered communication network (WPCN), where IRS improves downlink energy transfer and uplink information transmission for multiple users [28]. In this work, we present a model to characterize the impact of transceiver impairments on IRS-assisted wireless systems taking into account the effect of channel fading as well as the size of IRS. From the derived analytical and simulation results, it has been shown that the hardware impairments severely restrict the performance of IRS-assisted wireless system. In comparison to [38], the proposed work provides a complete analytical framework to analyze the EE performance of IRS-assisted systems while considering the impact of hardware impairment. To the best of our knowledge, this work is the first to theoretically investigate the EE performance of the IRS-assisted system impaired with a non-ideal transceiver

ORGANIZATION AND NOTATIONS The organization of this paper is as follows
SYSTEM MODEL
SIGNAL MODEL
SIMULATION RESULTS
OUTAGE
CONCLUSION
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