Name
Abstract | ||
|---|---|---|
Cognitive Radio (CR) is an innovative wireless sensing technology which can improve efficiency of spectrum usage. Based on CR, Cognitive network (CN) further focus on end-to-end communications for the global optimization and policy enforcement. However, there is a lack of global control channel or middleware for cognitive optimization in CN environment. In this paper, we proposed a Cognitive IP Multimedia Subsystem framework called Cog IMS, which consists of benefits from CN and IP multimedia subsystem (IMS). In this framework, the cognitive optimization is modeled as a service over IMS architecture. By adopting the proposed service-oriented framework, the global optimization is simple to achieve under standardized architecture and the computation requirement is reduced from user to core network. Finally, we simulate wireless users who using services to compare Cog IMS with CN and IMS. The simulation results show that the proposed Cog IMS can achieve the optimization of wireless resource allocation with different network situations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICPADS.2011.141 | ICPADS |
Keywords | Field | DocType |
next generation networks,towards service-oriented cognitive networks,optimisation,ip networks,multi-objective optimization,wireless sensing technology,cognitive network,cognitive radio,cognitive ip multimedia subsystem framework,global optimization,cognitive optimization,ip multimedia subsystem,core network,global control channel,resource allocation,proposed cog ims,service-oriented cognitive radio network,different network situation,radio networks,ims architecture,cognitive networks,cog ims,service-oriented architecture,wireless resource allocation optimization,ip multimedia subsystems,end-to-end communication,wireless sensor networks,middleware,cn environment,policy enforcement,cn,multimedia communication,cr,spectrum,multi objective optimization,service oriented architecture,next generation network | Middleware,Next-generation network,Core network,Computer science,Computer network,Real-time computing,IP Multimedia Subsystem,Wireless sensor network,Service-oriented architecture,Distributed computing,Cognitive radio,Cognitive network | Conference |
ISSN | ISBN | Citations |
1521-9097 | 978-1-4577-1875-5 | 4 |
PageRank | References | Authors |
0.52 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shih-Wen Hsu | 1 | 14 | 2.47 |
| Chi-Yuan Chen | 2 | 140 | 19.76 |
| Kai-Di Chang | 3 | 63 | 6.56 |
| Han-Chieh Chao | 4 | 2502 | 214.00 |
| Jiann-Liang Chen | 5 | 371 | 55.13 |