Name
Title | ||
|---|---|---|
Low-Complexity Signal Detection Based on SOR Method Exploring an Efficient Relaxation Range for Massive MIMO Systems |
Abstract | ||
|---|---|---|
In order to reduce the complexity of Massive multiple-input multiple-output (MIMO) signal detection, the iterative method is utilized for signal detection. Based on the implementation and analysis of the successive over relaxation (SOR) iterative algorithm, it can achieve near-optimal performance and can reduce an order of magnitude for the computational complexity. The simulation results that employing optimized relaxation factor can achieve the low bit error rate with less iteration and an efficient relaxation range is obtained to guide the relaxation factor selection. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-981-10-6571-2_96 | Lecture Notes in Electrical Engineering |
Keywords | DocType | Volume |
Massive MIMO,Signal detection,Successive over relaxation iteration,Efficient relaxation range | Conference | 463 |
ISSN | Citations | PageRank |
1876-1100 | 0 | 0.34 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yigang Zhou | 1 | 0 | 0.34 |
| Lin Wang | 2 | 0 | 0.34 |
| Liming Zheng | 3 | 2 | 3.07 |
| Yu Mao | 4 | 0 | 0.34 |