Name
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TVT.2020.3024005 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
Keywords | DocType | Volume |
Array signal processing, NOMA, Optimization, Interference, Signal to noise ratio, Power demand, MISO communication, Beamforming optimization, intelligent reflecting surface (IRS), multiple-input and single-output (MISO), non-orthogonal multiple access (NOMA) | Journal | 69 |
Issue | ISSN | Citations |
11 | 0018-9545 | 7 |
PageRank | References | Authors |
0.45 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fang Fang | 1 | 10 | 0.80 |
| Yanqing Xu | 2 | 76 | 5.76 |
| quocviet pham | 3 | 137 | 20.33 |
| Zhiguo Ding | 4 | 7031 | 399.47 |