DocumentCode
2700723
Title
A Novel Radio Resource Management Scheme with HPWRR Scheduling Algorithm in Link Adaptive Mobile WiMAX Network
Author
Hwang, Bor-Jiunn ; Hwang, I-Shyan ; Guo, Bo-Feng ; Su, Ruey-Rong
Author_Institution
Dept. of Comput. & Commun. Eng., Ming-Chuan Univ., Tao-Yuan
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
225
Lastpage
230
Abstract
This paper proposes a novel radio resource management scheme in the link adaptive WiMAX network and the hierarchical priority-queuing with weighted round-robin (HPWRR) scheduling algorithm for different traffic services. The radio resource management scheme can re-assign the burst profile and dynamically adjust the allocated bandwidth to the SSs to improve the resource utilization. Then, the HPWRR scheduling algorithm uses the multi-levels hierarchical scheduling architecture and different scheduling algorithms for each traffic service, respectively. Furthermore, in order to guarantee the Quality of Service (QoS) requirements, the multicast session becomes the extra new traffic type in the proposed scheme. The HPWRR scheme is analyzed and simulation result shows that it is able to earn efficient improvement as well as lower delay, better bandwidth utilization and higher throughput.
Keywords
WiMax; bandwidth allocation; mobile radio; multicast communication; quality of service; queueing theory; radio spectrum management; resource allocation; scheduling; telecommunication traffic; HPWRR scheduling algorithm; bandwidth allocation; hierarchical priority-queuing with weighted round-robin; link adaptive mobile WiMAX network; multicast session; quality of service; radio resource management scheme; resource utilization; traffic service; Adaptive systems; Analytical models; Bandwidth; Delay; Quality of service; Resource management; Scheduling algorithm; Telecommunication traffic; Traffic control; 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.2008.204
Filename
4780680
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