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

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 (...

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Veröffentlicht in:IEEE wireless communications letters Jg. 9; H. 9; S. 1366 - 1369
Hauptverfasser: Zhou, Shaoqing, Xu, Wei, Wang, Kezhi, Di Renzo, Marco, Alouini, Mohamed-Slim
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
IEEE comsoc
Schlagworte:
Array signal processing
Computer simulation
Downlink
Energy efficiency
Engineering Sciences
Hardware
hardware impairments
Intelligent reflecting surface
MISO (control systems)
MISO communication
Optimization
Performance degradation
Phase noise
Radio frequency
Signal and Image processing
Signal to noise ratio
Spectra
spectral efficiency
hardware impairments
Intelligent reflecting surface
energy efficiency
downlink spectral efficiency
spectral efficiency
ISSN:2162-2337, 2162-2345
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Zusammenfassung: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.
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ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2020.2990431