DocumentCode :
2212400
Title :
Self-adaptive truncated binary exponential backoff scheme for WiMAX P2MP network with heavy traffic
Author :
Du, Wenfeng ; Ji, Zhen ; Wang, Zhiqiang
Author_Institution :
Dept. of Comput. Sci., Shenzhen Univ., Shenzhen, China
fYear :
2008
fDate :
19-21 Nov. 2008
Firstpage :
1652
Lastpage :
1656
Abstract :
As a new wireless network access technology, IEEE 802.16 can provide broadband Internet connection to user. However, it was found that the mandatory contention resolution scheme in IEEE 802.16 can not run perfectly in most cases, especially when the traffic is heavy. In this paper, a novel self-adaptive truncated binary exponential backoff scheme has been proposed to improve the performance of the whole network, especially when the number of subscriber stations sending bandwidth request is far more than the number of transmission opportunities in current time frame. The number of available transmission opportunities and subscriber stations which send bandwidth request in next round contention will be self-adaptively updated according to the average collision probability and transmission opportunity utilization present during last frame. The results of analysis and simulation show our scheme can achieve better performance than contention resolution scheme in the standards.
Keywords :
Internet; WiMax; broadband networks; peer-to-peer computing; probability; radio access networks; telecommunication congestion control; telecommunication traffic; IEEE 802.16; WiMAX P2MP network traffic; average collision probability; broadband Internet connection; contention resolution scheme; self-adaptive truncated binary exponential backoff scheme; subscriber station; transmission opportunity utilization; wireless network access technology; Analytical models; Bandwidth; Computer science; DSL; Downlink; Educational institutions; Frequency conversion; IP networks; Telecommunication traffic; WiMAX; P2MP; TBEB; WiMAX; contention resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-2423-8
Electronic_ISBN :
978-1-4244-2424-5
Type :
conf
DOI :
10.1109/ICCS.2008.4737462
Filename :
4737462
Link To Document :
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