Name
Title | ||
|---|---|---|
Weighted compressive sensing based uplink channel estimation for time division duplex massive multi-input multi-output systems. |
Abstract | ||
|---|---|---|
In this study, the channel estimation problem for the uplink massive multi-input multi-output (MIMO) system is considered. Motivated by the observations that the channels in massive MIMO systems may exhibit sparsity and the channel support changes slowly over time, the authors propose one efficient channel estimation method under the framework of compressive sensing (CS). By exploiting the channel... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-com.2016.0625 | IET Communications |
Keywords | Field | DocType |
antenna arrays,channel estimation,compressed sensing,matrix algebra,MIMO communication,probability,wireless channels | Matrix (mathematics),Simulation,Algorithm,Communication channel,MIMO,Real-time computing,Spectral efficiency,Compressed sensing,Mathematics,Precoding,Orthogonal frequency-division multiplexing,Telecommunications link | Journal |
Volume | Issue | ISSN |
11 | 3 | 1751-8628 |
Citations | PageRank | References |
4 | 0.43 | 15 |
Authors | ||
3 | ||