Name
Abstract | ||
|---|---|---|
The High Altitude Platforms (HAPs) have been considered as a promising technique for providing wireless communication and other services. They operate at an altitude from 17km to 22km, which exploit both advantages of satellites and terrestrial wireless communication networks. It is possible to deploy HAPs network rapidly and adjust them dynamically to cover specific regions requiring communication services. In this paper, the problem of deploying HAPs network to provide wireless communication for terrestrial users is investigated. The aim of deployment is to providing communication services to ground users as many as possible with quality of service (QoS) guaranteed. To find an optimal solution, we model the problem as a potential game. And a restricted spatial adaptive play (RSAP) learning algorithm is introduced for the game. Using this algorithm, the HAPs can be deployed to cover the user areas in a self-organized manner with high QoS achieved. Finally, the simulation results also demonstrate that the HAPs network can achieve the optimal deployment. © 2012 IEEE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICCNC.2012.6167433 | ICNC |
Keywords | Field | DocType |
quality of service,wireless communication,high altitude platform,potential game,learning algorithm,game theory,self organization | Satellite,Software deployment,Wireless,Potential game,Quality of service,Computer network,Exploit,Game theoretic,Game theory,Geography,Distributed computing | Conference |
Volume | Issue | ISSN |
null | null | null |
Citations | PageRank | References |
1 | 0.38 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ru Zong | 1 | 9 | 1.63 |
| Xinbo Gao | 2 | 5534 | 344.56 |
| Xuyu Wang | 3 | 9 | 1.29 |
| Lv Zongting | 4 | 1 | 0.38 |