Intelligent Reflecting Surface Enabled Random Rotations Scheme for the MISO Broadcast Channel

Qurrat Ul Ain Nadeem, Alessio Zappone, Anas Chaaban

Research output: Contribution to journalArticlepeer-review


The current literature on intelligent reflecting surface (IRS) focuses on optimizing the IRS phase shifts to yield coherent beamforming gains, under the assumption of perfect channel state information (CSI) of individual IRS-assisted links, which is highly impractical. This work, instead, considers the random rotations scheme at the IRS in which the reflecting elements only employ random phase rotations without requiring any CSI. The only CSI then needed is at the base station (BS) of the overall channel to implement the beamforming transmission scheme. Under this framework, we derive the sum-rate scaling laws in the large number of users regime for the IRS-assisted multiple-input single-output (MISO) broadcast channel, with optimal dirty paper coding (DPC) scheme and the lower-complexity random beamforming (RBF) and deterministic beamforming (DBF) schemes at the BS. The random rotations scheme increases the sum-rate by exploiting multi-user diversity, but also compromises the gain to some extent due to correlation. Finally, energy efficiency maximization problems in terms of the number of BS antennas, IRS elements and transmit power are solved using the derived scaling laws. Simulation results show the proposed scheme to improve the sum-rate, with performance becoming close to that under coherent beamforming for a large number of users.

Original languageEnglish (US)
Article number9384319
Pages (from-to)5226-5242
Number of pages17
JournalIEEE Transactions on Wireless Communications
Issue number8
StatePublished - Aug 2021


  • Intelligent reflecting surface (IRS)
  • average sum-capacity
  • energy efficiency (EE)
  • multi-user (MU) diversity
  • multiple-input single-output (MISO) broadcast channel (BC)
  • sum average rate

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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