Name
Abstract | ||
|---|---|---|
The combination of cell-free massive multiple-input multiple-output (MIMO) systems along with millimeter-wave (mmWave) bands is indeed one of most promising technological enablers of the envisioned wireless Gbit/s experience. However, both massive antennas at access points and large bandwidth at mmWave induce high computational complexity to exploit an accurate estimation of channel state informat... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TVT.2019.2937543 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Channel estimation,Noise level,Sparse matrices,Convolution,Transmission line matrix methods,Noise reduction | Wireless,Convolutional neural network,Computer science,Communication channel,MIMO,Electronic engineering,Bandwidth (signal processing),Sparse matrix,Estimator,Channel state information | Journal |
Volume | Issue | ISSN |
68 | 10 | 0018-9545 |
Citations | PageRank | References |
23 | 0.69 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Jin | 1 | 29 | 2.46 |
| Jiayi Zhang | 2 | 911 | 74.44 |
| Shi Jin | 3 | 3744 | 274.70 |
| Bo Ai | 4 | 1581 | 185.94 |