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). pp. 1366-1369. ISSN 2162-2337
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Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments.pdf - Accepted Version Download (161kB) | Preview |
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 at the 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 by the phase noise at the 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 |
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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: | 31 Jul 2021 13:30 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/43171 |
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