Name
Title | ||
|---|---|---|
Distributed Task Scheduling for Wireless Powered Mobile Edge Computing: A Federated-Learning-Enabled Framework |
Abstract | ||
|---|---|---|
Sixth generation (6G) wireless communication networks are expected to provide ultra-low latency and energy-efficient services for global users. The paradigm of wireless powered mobile edge computing (WP-MEC) provides a feasible framework to real-ize the above purposes by leveraging the advantage of both wireless power transfer and MEC. Howev-er, massive network traffic and control information over... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MNET.201.2100179 | IEEE Network |
Keywords | DocType | Volume |
Wireless communication, 6G mobile communication, Multi-access edge computing, Wireless power transfer, Telecommunication traffic, Energy efficiency, Delays | Journal | 35 |
Issue | ISSN | Citations |
6 | 0890-8044 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaojie Wang | 1 | 306 | 22.81 |
| Shupeng Wang | 2 | 1 | 0.36 |
| Yongjian Wang | 3 | 10 | 2.51 |
| Zhaolong Ning | 4 | 553 | 50.11 |
| Lei Guo | 5 | 2 | 1.05 |