How Should IRSs Scale to Harden Multi-Antenna Channels?

Ali Bereyhi, Saba Asaad, Chongjun Ouyang, Ralf R. Muller, Rafael F. Schaefer, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work extends the concept of channel hardening to multi-antenna systems that are aided by intelligent reflecting surfaces (IRSs). For fading links between a multi-antenna transmitter and a single-antenna receiver, we derive an accurate approximation for the distribution of the input-output mutual information when the number of reflecting elements grows large. The asymptotic results demonstrate that by increasing the number of elements on the IRS, the end-to-end channel hardens as long as the physical dimensions of the IRS grow as well. The growth rate however need not to be of a specific order and can be significantly sub-linear. The validity of the analytical result is confirmed by numerical experiments.

Original languageEnglish (US)
Title of host publication2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
PublisherIEEE Computer Society
Pages276-280
Number of pages5
ISBN (Electronic)9781665406338
DOIs
StatePublished - 2022
Event12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 - Trondheim, Norway
Duration: Jun 20 2022Jun 23 2022

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2022-June
ISSN (Electronic)2151-870X

Conference

Conference12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
Country/TerritoryNorway
CityTrondheim
Period6/20/226/23/22

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Intelligent reflecting surfaces
  • channel hardening
  • large-system analysis

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