Name
Abstract | ||
|---|---|---|
This paper studies the fast adaptive beamforming for the multiuser multiple-input single-output downlink. Existing deep learning-based approaches assume that training and testing channels follow the same distribution which causes task mismatch, when the testing environment changes. Although meta learning can deal with the task mismatch, it relies on labelled data and incurs high complexity in the ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TWC.2021.3094162 | IEEE Transactions on Wireless Communications |
Keywords | DocType | Volume |
Array signal processing,Task analysis,Adaptation models,Neural networks,Wireless communication,Data models,Complexity theory | Journal | 21 |
Issue | ISSN | Citations |
1 | 1536-1276 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juping Zhang | 1 | 7 | 2.12 |
| Yi Yuan | 2 | 3 | 1.39 |
| Gan Zheng | 3 | 2199 | 115.78 |
| Ioannis Krikidis | 4 | 3348 | 180.98 |
| Kai-Kit Wong | 5 | 3777 | 281.90 |