Energy-Efficient Design of IRS-NOMA Networks

Fang Fang, Yanqing Xu, Quoc Viet Pham, Zhiguo Ding

Research output: Contribution to journalArticlepeer-review

212 Scopus citations

Abstract

Combining intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) is an effective solution to enhance communication coverage and energy efficiency. In this paper, we focus on an IRS-assisted NOMA network and propose an energy-efficient algorithm to yield a good tradeoff between the sum-rate maximization and total power consumption minimization. We aim to maximize the system energy efficiency by jointly optimizing the transmit beamforming at the BS and the reflecting beamforming at the IRS. Specifically, the transmit beamforming and the phases of the low-cost passive elements on the IRS are alternatively optimized until the convergence. Simulation results demonstrate that the proposed algorithm in IRS-NOMA can yield superior performance compared with the conventional OMA-IRS and NOMA with a random phase IRS.

Original languageBritish English
Article number9197675
Pages (from-to)14088-14092
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Volume69
Issue number11
DOIs
StatePublished - Nov 2020

Keywords

  • Beamforming optimization
  • intelligent reflecting surface (IRS)
  • multiple-input and single-output (MISO)
  • non-orthogonal multiple access (NOMA)

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