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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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.
AbstractList 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.
In this letter, we analyze the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted multipleinput 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.
Author Alouini, Mohamed-Slim
Wang, Kezhi
Di Renzo, Marco
Zhou, Shaoqing
Xu, Wei
Author_xml – sequence: 1
  givenname: Shaoqing
  orcidid: 0000-0002-7179-2303
  surname: Zhou
  fullname: Zhou, Shaoqing
  email: sq.zhou@seu.edu.cn
  organization: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
– sequence: 2
  givenname: Wei
  orcidid: 0000-0001-9341-8382
  surname: Xu
  fullname: Xu, Wei
  email: wxu@seu.edu.cn
  organization: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
– sequence: 3
  givenname: Kezhi
  orcidid: 0000-0001-8602-0800
  surname: Wang
  fullname: Wang, Kezhi
  email: kezhi.wang@northumbria.ac.uk
  organization: Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K
– sequence: 4
  givenname: Marco
  surname: Di Renzo
  fullname: Di Renzo, Marco
  email: marco.direnzo@centralesupelec.fr
  organization: Laboratoire des Signaux et Systèmes, Université Paris-Saclay, CNRS, CentraleSupélec, Gif-sur-Yvette, France
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  givenname: Mohamed-Slim
  orcidid: 0000-0003-4827-1793
  surname: Alouini
  fullname: Alouini, Mohamed-Slim
  email: slim.alouini@kaust.edu.sa
  organization: Division of Computer, Electrical, and Mathematical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
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Keywords hardware impairments
Intelligent reflecting surface
energy efficiency
downlink spectral efficiency
spectral efficiency
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Snippet In this letter, we analyze the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) downlink...
In this letter, we analyze the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted multipleinput single-output (MISO) downlink...
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SubjectTerms 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
Title Spectral and Energy Efficiency of IRS-Assisted MISO Communication With Hardware Impairments
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