Name
Abstract | ||
|---|---|---|
Massive MIMO is a key component of current and future wireless communication systems. To harvest the multiplexing and beamforming gains of these large-scale MIMO systems, however, the channel knowledge needs to be acquired at the massive MIMO transmitters. This is typically associated with large training overhead, especially in FDD massive MIMO. Recent research showed that deep learning could lead... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IEEECONF51394.2020.9443515 | 2020 54th Asilomar Conference on Signals, Systems, and Computers |
Keywords | DocType | ISBN |
Deep learning,Antenna measurements,Wireless communication,Training,Transmitters,Prototypes,Channel estimation | Conference | 978-0-7381-3126-9 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jayden Booth | 1 | 1 | 0.35 |
| Ahmed Ewaisha | 2 | 1 | 0.35 |
| Andreas Spanias | 3 | 1 | 0.35 |
| Ahmed Alkhateeb | 4 | 1708 | 67.18 |