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
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