Name
Title | ||
|---|---|---|
NOMA assisted Multi-task Multi-access Mobile Edge Computing via Deep Reinforcement Learning for Industrial Internet of Things |
Abstract | ||
|---|---|---|
Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key approaches for enabling computation-intensive yet delay-sensitive services in future industrial Internet of Things (IoT). In this article, we exploit nonorthogonal multiple access (NOMA) for computation offloading in MA-MEC and propose a joint optimization of the multiaccess multitask computation offloading, NOMA tran... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2020.3001355 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Task analysis,NOMA,Resource management,Servers,Heuristic algorithms,Optimization,Edge computing | Journal | 17 |
Issue | ISSN | Citations |
8 | 1551-3203 | 14 |
PageRank | References | Authors |
0.51 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Ping Qian | 1 | 529 | 49.54 |
| Yuan Wu | 2 | 538 | 61.11 |
| Fuli Jiang | 3 | 16 | 0.88 |
| Ningning Yu | 4 | 19 | 2.61 |
| Weidang Lu | 5 | 309 | 55.86 |
| Bin Lin | 6 | 57 | 8.40 |