Name
Title | ||
|---|---|---|
Simplified QR-decomposition based and lattice reduction-assisted multi-user multiple-input-multiple-output precoding scheme. |
Abstract | ||
|---|---|---|
Future wireless communication systems require more and more antennas at the transceiver to improve the achievable rates. Multi-user multiple-input multiple-output (MU-MIMO) technique is regarded as a potential technique to serve large number of users simultaneously to further increase the achievable rates in MIMO systems. If the number of antennas at the transceiver is large, the computational com... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-com.2015.0643 | IET Communications |
Keywords | Field | DocType |
antenna arrays,computational complexity,lattice theory,least mean squares methods,linear codes,MIMO communication,multiuser channels,precoding,radio transceivers,singular value decomposition | Transceiver,Control theory,Algorithm,Real-time computing,Interference (wave propagation),Zero-forcing precoding,Precoding,QR decomposition,Mathematics,Lattice reduction,Multi-user,Computational complexity theory | Journal |
Volume | Issue | ISSN |
10 | 5 | 1751-8628 |
Citations | PageRank | References |
2 | 0.37 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shu Fang | 1 | 3 | 0.72 |
| Jian Wu | 2 | 71 | 6.69 |
| Chengyi Lu | 3 | 2 | 0.37 |
| Zong-di Yue | 4 | 2 | 0.37 |
| Yuan-chao Han | 5 | 2 | 0.37 |