Name
Title | ||
|---|---|---|
Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach. |
Abstract | ||
|---|---|---|
Unmanned aerial vehicles (UAVs) can be used to serve as aerial base stations to enhance both the coverage and performance of communication networks in various scenarios, such as emergency communications and network access for remote areas. Mobile UAVs can establish communication links for ground users to deliver packets. However, UAVs have limited communication ranges and energy resources. Particu... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSAC.2018.2864373 | IEEE Journal on Selected Areas in Communications |
Keywords | Field | DocType |
Energy consumption,Task analysis,Aerospace electronics,Communication networks,Machine learning,Unmanned aerial vehicles,Energy resources | Base station,Telecommunications network,Task analysis,Efficient energy use,Computer science,Network packet,Computer network,Energy consumption,Access network,Reinforcement learning | Journal |
Volume | Issue | ISSN |
36 | 9 | 0733-8716 |
Citations | PageRank | References |
39 | 0.93 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi Harold Liu | 1 | 1091 | 72.90 |
| Zheyu Chen | 2 | 54 | 1.85 |
| Jian Tang | 3 | 1095 | 74.34 |
| Jie Xu | 4 | 48 | 4.49 |
| Chengzhe Piao | 5 | 47 | 2.73 |