Energy-Efficient Design of IRS-NOMA Networks
September 11, 2020 Β· Declared Dead Β· π IEEE Transactions on Vehicular Technology
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Authors
Fang Fang, Yanqing Xu, Quoc-Viet Pham, Zhiguo Ding
arXiv ID
2009.05344
Category
eess.SP: Signal Processing
Cross-listed
cs.IT
Citations
229
Venue
IEEE Transactions on Vehicular Technology
Last Checked
4 months ago
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.
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