Name
Abstract | ||
|---|---|---|
The 6th generation mobile network (6G) is expected to achieve a fully connected world. As a key enabling technology in 6G, edge intelligence (EI) combines artificial intelligence (AI) with mobile edge computing (MEC), further releasing the potential of edge-side data. However, edge resources from roadside units (RSUs) and base stations are insufficient to match the wide variety of services in futu... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MWC.001.2000393 | IEEE Wireless Communications |
Keywords | DocType | Volume |
6G mobile communication,Resource management,Task analysis,Data mining,Machine learning,Edge computing,Urban areas | Journal | 28 |
Issue | ISSN | Citations |
4 | 1536-1284 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weijing Qi | 1 | 1 | 0.35 |
| Qian Li | 2 | 9 | 1.46 |
| Qingyang Song | 3 | 1 | 0.35 |
| Lei Guo | 4 | 2 | 1.05 |
| Abbas Jamalipour | 5 | 2295 | 219.61 |