Name
Abstract | ||
|---|---|---|
Accurate channel state information (CSI) acquisition is hindered by CSI estimation errors, compression, feedback, and processing delays. We propose a machine learning (ML)-based massive multiple-input multiple-output (mMIMO) channel predictor (CP), which can work on the estimated channel and the compressed version of the estimated channel as well. While existing work has evaluated the performance ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LWC.2022.3146230 | IEEE Wireless Communications Letters |
Keywords | DocType | Volume |
Channel estimation,Neurons,OFDM,Antenna measurements,Wireless communication,Transmitting antennas,Receiving antennas | Journal | 11 |
Issue | ISSN | Citations |
4 | 2162-2337 | 1 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Karam Shehzad | 1 | 3 | 3.10 |
| Luca Rose | 2 | 1 | 2.75 |
| Stefan Wesemann | 3 | 1 | 0.38 |
| Mohamad Assaad | 4 | 346 | 48.14 |