Intelligent Reflecting Surface-assisted mmWave Communication with Lens Antenna Array

Yazheng Wang, Hancheng Lu, Dan Zhao, Yansha Deng, Arumugam Nallanathan

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

In millimeter wave (mmWave) communication, lens antenna array has been considered as a potential technique to combat the severe path loss. However, blockage effect still exists. To address this issue, we design an intelligent reflecting surface (IRS) assisted wideband mmWave communication system with lens antenna array with limited radio frequency (RF) chains. This is the first attempt to design a mmWave communication system with the integration of IRS and lens antenna array. The designed system can realize high robust, low-complexity and cost-effective mmWave communication. To achieve desired performance, we first derive the signal-to-interference-plus-noise ratio (SINR) expression with the intersymbol interference, then we formulate a SINR maximization problem, by jointly considering the beamforming vector at base station with limited RF chains and reflection coefficient matrices at IRS with discrete phase levels. This problem is intractable and non-convex. To solve it, we optimize the reflection coefficient matrices by quadratic transformation with low-complexity closed-form expression, and the beamforming vector is handled by sparse beamforming optimization, where the l0 norm is approximated by the l1 norm. Finally, simulation results demonstrate the advantages of our proposed algorithm compared with benchmark schemes, e.g., 5 dB SINR gain can be achieved compared with existing algorithm.

Original languageEnglish
Pages (from-to)202-215
Number of pages14
JournalIEEE Transactions on Cognitive Communications and Networking
Volume8
Issue number1
DOIs
Publication statusPublished - Mar 2022

Keywords

  • Intelligent reflecting surface (IRS)
  • lens antenna array
  • millimeter wave (mmWave)
  • blockage effect
  • beamforming

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