DocumentCode :
2700749
Title :
A Novel Hierarchical Network Selection Strategy with Adaptive QoS Level Scheme in 2-Tier Multi-rate Mobile WiMAX Networks
Author :
Hwang, Bor-Jiunn ; Hwang, I-Shyan ; Wun, Shao-Jyun
Author_Institution :
Dept. of Comput. & Commun. Eng., Ming-Chuan Univ., Tao-Yuan
fYear :
2008
fDate :
9-12 Dec. 2008
Firstpage :
231
Lastpage :
236
Abstract :
The adaptive network selection, efficient resource management, call admission control (CAC) strategies in mobile WiMAX must consider the characteristic of multi-rate to reduce the call blocking probability (CBP) and call dropping probability (CDP). In this paper, we propose a hierarchical network selection strategy (HNSS) based on grey relational analysis (GRA) to switch to the proper base station. If there is not enough bandwidth since a new call request arrived, the adaptive QoS level scheme (AQLS) adjusts QoS level based on scalable video coding (SVC) for various traffic types. In additional, the candidate BS performs prediction reservation bandwidth scheme (PRBS) is proposed to improve call dropping probability (CDP).
Keywords :
WiMax; grey systems; mobile robots; probability; quality of service; resource allocation; telecommunication congestion control; telecommunication network management; telecommunication traffic; video coding; 2-tier multirate mobile WiMAX network; adaptive QoS level scheme; call admission control strategy; call blocking probability; call dropping probability; grey relational analysis; hierarchical network selection strategy; network traffic; resource management; scalable video coding; Adaptive control; Adaptive systems; Bandwidth; Base stations; Call admission control; Programmable control; Resource management; Switches; Video coding; WiMAX; AQLS; Grey Relational Analysis; HNSS; PRBS; SVC; WiMAX;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
Conference_Location :
Yilan
Print_ISBN :
978-0-7695-3473-2
Electronic_ISBN :
978-0-7695-3473-2
Type :
conf
DOI :
10.1109/APSCC.2008.220
Filename :
4780681
Link To Document :
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