Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments

Zhou, Shaoqing, Xu, Wei, Wang, Kezhi, Di Renzo, Marco and Alouini, Mohamed-Slim (2020) Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments. IEEE Wireless Communications Letters, 9 (9). 1366 -1369. ISSN 2162-2337

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Official URL: https://doi.org/10.1109/lwc.2020.2990431

Abstract

In this letter, we analyze the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) downlink system with hardware impairments. An extended error vector magnitude (EEVM) model is utilized to characterize the impact of radio-frequency (RF) impairments at the access point (AP) and phase noise is considered for the imperfect IRS. We show that the spectral efficiency is limited due to the hardware impairments even when the numbers of AP antennas and IRS elements grow infinitely large, which is in contrast with the conventional case with ideal hardware. Moreover, the performance degradation at high SNR is shown to be mainly affected by the AP hardware impairments rather than the phase noise of IRS. We further obtain in closed form the optimal transmit power for energy efficiency maximization. Simulation results are provided to verify the obtained results.

Item Type: Article
Uncontrolled Keywords: Intelligent reflecting surface, hardware impairments, downlink spectral efficiency, energy efficiency
Subjects: F200 Materials Science
F300 Physics
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 18 May 2020 14:21
Last Modified: 17 Sep 2020 08:15
URI: http://nrl.northumbria.ac.uk/id/eprint/43171

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