Spectral and Energy Efficiency of IRS-Assisted MISO Communication With Hardware Impairments
Shaoqing Zhoua, Wei Xua b, Kezhi Wangc, Marco Di Renzod, Mohamed‐Slim Alouinie
- aNational Mobile Communications Research Laboratory, Southeast University, Nanjing, China
- bPurple Mountain Laboratories, Nanjing, China
- cDepartment of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K
- dLaboratoire des Signaux et Systèmes, Université Paris–Saclay, CNRS, CentraleSupélec, Gif-sur-Yvette, France
- eDivision of Computer, Electrical, and Mathematical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
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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.
TL;DRIt is shown 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. (Semantic Scholar)