Name
Title | ||
|---|---|---|
A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN) |
Abstract | ||
|---|---|---|
Space-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the next generation network. The space satellites and air nodes are the potential candidates to assist and offload the terrain transmissions. However, due to the high mobility of space and air nodes as well as the high dynamic of network traffic, the conventional traffic offloading strategy is not applicable for the... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JSAC.2021.3126073 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Reinforcement learning,Heuristic algorithms,Satellites,Proposals,Bandwidth,Channel allocation,Topology | Journal | 40 |
Issue | ISSN | Citations |
1 | 0733-8716 | 5 |
PageRank | References | Authors |
0.41 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fengxiao Tang | 1 | 253 | 11.24 |
| Hans Hofner | 2 | 5 | 0.41 |
| Nei Kato | 3 | 3982 | 263.66 |
| Kazuma Kaneko | 4 | 7 | 0.78 |
| Yasutaka Yamashita | 5 | 5 | 0.41 |
| Masatake Hangai | 6 | 5 | 0.41 |