Name
Abstract | ||
|---|---|---|
As current 5G communication systems cannot fulfill the stringent requirements brought by emerging applications, 6G will innovatively employ deep learning (DL) techniques to fundamentally rethink the communication systems design problem from the bottom to top layers. Although recent evidence has shown the power of DL techniques in the communication domain, the exploration and utilization of DL tech... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MWC.001.2000516 | IEEE Wireless Communications |
Keywords | DocType | Volume |
6G mobile communication,Wireless communication,Communication systems,Training data,Complexity theory,Receivers,Mathematical model | Journal | 28 |
Issue | ISSN | Citations |
5 | 1536-1284 | 4 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shangwei Zhang | 1 | 4 | 0.38 |
| Jiajia Liu | 2 | 1372 | 94.60 |
| Tiago Koketsu Rodrigues | 3 | 32 | 2.41 |
| Nei Kato | 4 | 3982 | 263.66 |