Name
Title | ||
|---|---|---|
Algorithm and Architecture of a Low-Complexity and High-Parallelism Preprocessing-Based K -Best Detector for Large-Scale MIMO Systems. |
Abstract | ||
|---|---|---|
As a branch of sphere decoding, the K-best method has played an important role in detection in large-scale multiple-input-multiple-output (MIMO) systems. However, as the numbers of users and antennas grow, the preprocessing complexity increases significantly, which is one of the major issues with the K-best method. To address this problem, this paper proposes a preprocessing algorithm combining Ch... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2018.2799191 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Matrix decomposition,MIMO communication,Detectors,Complexity theory,Parallel processing,Throughput,Signal processing algorithms | QAM,Matrix decomposition,MIMO,Algorithm,Throughput,Decoding methods,QR decomposition,Mathematics,Lattice reduction,Cholesky decomposition | Journal |
Volume | Issue | ISSN |
66 | 7 | 1053-587X |
Citations | PageRank | References |
3 | 0.41 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guiqiang Peng | 1 | 12 | 2.04 |
| leibo liu | 2 | 816 | 116.95 |
| Sheng Zhou | 3 | 1627 | 129.20 |
| Yang Xue | 4 | 20 | 2.92 |
| shouyi yin | 5 | 579 | 99.95 |
| Shaojun Wei | 6 | 555 | 102.32 |