Cooperative Double-IRS Aided Communication: Beamforming Design and Power Scaling

Yitao Han, Shuowen Zhang, Lingjie Duan, Rui Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

19 Citations (Scopus)

Abstract

Intelligent reflecting surface (iRS) Is a promising technology to support high performance wireless communication. By adaptively configuring the reflection amplitude and/or phase of each passive reflecting element on It, the IRS can reshape the electromagnetic environment In favour of signal transmission. This letter advances the existing research by proposing and analyzing a double-iRS aided wireless communication system. Under the reasonable assumption that the reflection channel from IRS 1 to IRS 2 Is of rank 1 (e.g., line-of-sight channel), we propose a joint passive beamforming design for the two IRSs. Based on this, we show that deploying two cooperative IRSs with In total {K} elements can yield a power gain of order \mathcal {O}(K^{4}) , which greatly outperforms the case of deploying one traditional IRS with a power gain of order \mathcal {O}(K^{2}). Our simulation results validate that the performance of deploying two cooperative IRSs Is significantly better than that of deploying one IRS given a sufficient total number of IRS elements. We also extend our line-of-sight channel model to show how different channel models affect the performance of the double-iRS aided wireless communication system.

Original languageEnglish
Article number9060923
Pages (from-to)1206-1210
Number of pages5
JournalIEEE Wireless Communications Letters
Volume9
Issue number8
DOIs
Publication statusPublished - Aug 2020

Keywords

  • Intelligent reflecting surface
  • channel modelling
  • passive beamforming
  • power scaling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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