Intelligent Reflecting Surface Enhanced Millimeter-Wave NOMA Systems

Jiakuo Zuo, Yuanwei Liu, Ertugrul Basar, Octavia A. Dobre

Research output: Contribution to journalArticleScientificpeer-review

79 Citations (Scopus)

Abstract

In this letter, a downlink intelligent reflecting surface (IRS) enhanced millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) system is considered. A joint optimization problem over active beamforming, passive beamforming and power allocation is formulated. Due to the highly coupled variables, the formulated optimization problem is non-convex. To solve this problem, an alternative optimization and successive convex approximation based iterative algorithm is proposed. Numerical results illustrate that: 1) the proposed scheme offers significant sum-rate gains, which confirms the effectiveness of introducing IRS for mmWave-NOMA systems; 2) the proposed algorithm with discrete phase shifts can achieve close performance to that of continuous phase shifts.

Original languageEnglish
Article number9140006
Pages (from-to)2632-2636
Number of pages5
JournalIEEE Communications Letters
Volume24
Issue number11
DOIs
Publication statusPublished - Nov 2020
Externally publishedYes
Publication typeA1 Journal article-refereed

Keywords

  • beamforming
  • Iintelligent reflecting surface
  • millimeter-wave
  • non-orthogonal multiple access

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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