Name
Abstract | ||
|---|---|---|
Recently, intelligent reflecting surface (IRS) has emerged as a promising cost-efficient technology to enhance communication performance. In this paper, we start with a single-user IRS-assisted multiple-input-multiple-output (MIMO) system, aiming to maximize spectral efficiency. To deal with the complicated non-convex problem, we exploit the equivalence between the weighted mean square error minimization (WMMSE) and the spectral efficiency maximization problem, and propose a low-complexity and low-latency WMMSE-based alternating optimization (WMMSE-AO). In addition, it can be executed in parallel for further speedup of the IRS computation due to its non-coupling characteristic. Moreover, to fully exploit spatial multiplexing, we extend our proposed WMMSE-AO to general multi-IRS systems with better performance and coverage. Simulation results show that the proposed WMMSE-AO can reduce 20 times multiplications with only 1% performance degradation compared with the state-of-the-art algorithm. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TVT.2022.3185091 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Alternating optimization,MIMO,multi-intelligent reflecting surface (IRS),weighted mean square error minimization (WMMSE) | Journal | 71 |
Issue | ISSN | Citations |
10 | 0018-9545 | 0 |
PageRank | References | Authors |
0.34 | 11 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi-Wei Chen | 1 | 0 | 0.34 |
| Wen-Chiao Tsai | 2 | 0 | 0.34 |
| Sin-Sheng Wong | 3 | 0 | 0.68 |
| Chieh-Fang Teng | 4 | 0 | 0.34 |
| An-Yeu Wu | 5 | 801 | 81.68 |