Name
Title | ||
|---|---|---|
Low-complexity large-scale multiple-input multiple-output channel estimation using affine combination of sparse least mean square filters. |
Abstract | ||
|---|---|---|
Large-scale multiple-input multiple-output (MIMO) system is considered one of promising technologies to realise next-generation wireless communication system (5G). So far, channel estimation problem is a big obstacle to develop large-scale MIMO system design due to high computational complexity and curse of dimensionality, which are caused by the long delay spread as well as a large number of ante... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1049/iet-com.2014.0979 | IET Communications |
Keywords | Field | DocType |
5G mobile communication,adaptive filters,channel estimation,computational complexity,gradient methods,least mean squares methods,MIMO communication,next generation networks,pattern clustering,search problems,wireless channels | Affine transformation,Least mean squares filter,Mathematical optimization,Affine combination,Delay spread,Algorithm,Communication channel,MIMO,Real-time computing,Adaptive filter,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
9 | 17 | 1751-8628 |
Citations | PageRank | References |
2 | 0.38 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guan Gui | 1 | 641 | 102.53 |
| Ning Liu | 2 | 2 | 0.72 |
| Li Xu | 3 | 52 | 11.98 |
| Fumiyuki Adachi | 4 | 1588 | 195.77 |