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Energy-Efficient Design of IRS-NOMA Networks.

Authors :
Fang, Fang
Xu, Yanqing
Pham, Quoc-Viet
Ding, Zhiguo
Source :
IEEE Transactions on Vehicular Technology. Nov2020, Vol. 69 Issue 11, p14088-14092. 5p.
Publication Year :
2020

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
69
Issue :
11
Database :
Academic Search Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
147041737
Full Text :
https://doi.org/10.1109/TVT.2020.3024005