Opportunistic Beamforming Using an Intelligent Reflecting Surface Without Instantaneous CSI

Qurrat-Ul-Ain Nadeem, Anas Chaaban, Merouane Debbah

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

While intelligent reflecting surface (IRS) assisted wireless communication has emerged as an important research paradigm, channel state information (CSI) acquisition remains a critical challenge to design the IRS phase-shifts and yield the promised coherent beamforming gains. In this letter, we propose an IRS-assisted opportunistic beamforming (OBF) scheme under proportional fair scheduling, which does not require instantaneous CSI to design the IRS parameters. In a slow-fading environment, we show that with only random rotations at the IRS, the proposed scheme can capitalize on the multi-user (MU)-diversity effect to approach the performance of coherent beamforming as the number of users grows large. Next we study the sum-rate scaling of IRS-assisted OBF in the correlated Rayleigh fast fading environment under a deterministic beamforming scheme that results in a considerable sum-rate improvement.
Original languageEnglish (US)
Pages (from-to)146-150
Number of pages5
JournalIEEE Wireless Communications Letters
Volume10
Issue number1
DOIs
StatePublished - Jan 2021
Externally publishedYes

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