DocumentCode :
3010415
Title :
N-Module Based Self-Adaptive Contention Resolution Scheme for WiMAX P2MP Network
Author :
Du, Wenfeng ; Ji, Zhen ; Wang, Zhiqiang ; Jia, Weijia
Author_Institution :
Dept. of Comput. Sci. Coll. of Inf. Eng., Shenzhen Univ. Shenzhen, Shenzhen
fYear :
2008
fDate :
25-27 Sept. 2008
Firstpage :
520
Lastpage :
525
Abstract :
Currently, the truncated binary exponential backoff based scheme had been defined as the mandatory contention resolution scheme in WiMAX standards. However, it had been discussed in many research that these schemes can not work perfectly with WiMAX in most cases. In this paper, a novel N modules based self-adaptive contention resolution scheme has been proposed, which divides all Subscriber Stations into several groups according to the number of available transmission opportunities in each frame and requires each Subscriber Station send bandwidth request during its group time. Meanwhile, the number of available transmission opportunities will be self-adaptively updated by Base Station according to the average collision probability presented in last frame. The analysis and simulation results show our scheme can improve the performance of whole network remarkably.
Keywords :
WiMax; bandwidth allocation; peer-to-peer computing; probability; subscriber loops; WiMAX P2MP network; WiMAX standards; bandwidth request; collision probability; mandatory contention resolution scheme; self-adaptive contention resolution scheme; subscriber stations; truncated binary exponential backoff based scheme; Analytical models; Bandwidth; Base stations; Computer science; DSL; Downlink; Frequency conversion; High performance computing; Road accidents; WiMAX; Bandwidth request; Contention Resolution; WiMAX;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-3352-0
Type :
conf
DOI :
10.1109/HPCC.2008.122
Filename :
4637741
Link To Document :
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