Statistical multiplexing, admission region, and contention window optimization in multiclass wireless LANs

Authors:
Yu Cheng;Xinhua Ling;Lin X. Cai;Wei Song;Weihua Zhuang;Xuemin Shen;Alberto Leon-Garcia
Affiliations:
University of Toronto, Toronto, ON, Canada;University of Waterloo, Waterloo, ON, Canada;University of Waterloo, Waterloo, ON, Canada;University of Waterloo, Waterloo, ON, Canada;University of Waterloo, Waterloo, ON, Canada;University of Waterloo, Waterloo, ON, Canada;University of Toronto, Toronto, ON, Canada
Venue:
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
Year:
2006

Citing 8
Cited 2

Broadband integrated networks

Broadband integrated networks
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit

IEEE/ACM Transactions on Networking (TON)
A capacity analysis for the IEEE 802.11 MAC protocol

Wireless Networks
Introduction to Maple

Introduction to Maple
Providing statistical QoS guarantee for voice over IP in the IEEE 802.11 wireless LANs

IEEE Wireless Communications
How well can the IEEE 802.11 wireless LAN support quality of service?

IEEE Transactions on Wireless Communications
Performance analysis of the IEEE 802.11 distributed coordination function

IEEE Journal on Selected Areas in Communications
Understanding 802.11e contention-based prioritization mechanisms and their coexistence with legacy 802.11 stations

IEEE Network: The Magazine of Global Internetworking

A practical QoS solution to voice over IP in IEEE 802.11 WLANs

IEEE Communications Magazine
Web delay analysis and reduction by using load balancing of a DNS-based web server cluster

International Journal of Computers and Applications

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper presents an analytical model for evaluating the statistical multiplexing effect, admission region, and contention window design in multiclass wireless LANs (WLANs). We consider a distributed medium access control (MAC) which provisions service differentiation via contention window differentiation, where mobile nodes belonging to different service classes have different quality of service (QoS) requirements. With bursty input traffic, we show that the WLAN admission region under the QoS constraint can be significantly improved by exploiting the statistical multiplexing gain. Moreover, the statistical multiplexing gain can be further improved by aggregating the downlink flows at the access point (AP). We also demonstrate that the selection of contention windows plays an important role in improving the WLAN's QoS capability, while the optimal contention window for each class and the maximum admission region can be jointly solved from our analytical model. The analysis accuracy and the resource utilization improvement are demonstrated by extensive numerical results.