Name
Abstract | ||
|---|---|---|
F-RAN is regarded as a promising paradigm for mobile networks to alleviate the unprecedented traffic pressures and meet quality of service requirements of various 5G services with great flexibility. To make F-RAN work in a reliable, efficient, and smart way, AI-enabled F-RAN could be innovative in a number of directions: computing task offloading, resource management, dynamic beam selection, cross... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MWC.001.1900386 | IEEE Wireless Communications |
Keywords | DocType | Volume |
Artificial intelligence,Computer architecture,Protocols,Resource management,Servers,Radio frequency,5G mobile communication | Journal | 27 |
Issue | ISSN | Citations |
2 | 1536-1284 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaoming Lu | 1 | 168 | 53.12 |
| Zhiqun Hu | 2 | 0 | 0.34 |
| Zijun Han | 3 | 0 | 0.34 |
| Luhan Wang | 4 | 14 | 7.76 |
| Raymond Knopp | 5 | 725 | 90.42 |
| Yuheng Zhang | 6 | 0 | 0.34 |