Soft QoS in Call Admission Control for Wireless Personal Communications

Authors:
Chi Wa Leong;Weihua Zhuang
Affiliations:
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 E-mail: cleong@bbcr.uwaterloo.ca;Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 E-mail: wzhuang@bbcr.uwaterloo.ca
Venue:
Wireless Personal Communications: An International Journal
Year:
2002

Citing 6
Cited 1

QoS provisioning in micro-cellular networks supporting multiple classes of traffic

Wireless Networks - Special issue on wireless multimedia networking
Supporting mobile multimedia in integrated services networks

Wireless Networks - Special issue on wireless multimedia networking
A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept

IEEE/ACM Transactions on Networking (TON)
On optimal call admission control in cellular networks

Wireless Networks
Theory, Volume 1, Queueing Systems

Theory, Volume 1, Queueing Systems
Adaptive resource allocation for prioritized call admission over an ATM-based wireless PCN

IEEE Journal on Selected Areas in Communications

Call admission control for wireless personal communications

Computer Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

In wireless multimedia communication systems, call admission control (CAC) is critical for simultaneously achieving a high resource utilization efficiency and maintaining quality-of-service (QoS) to mobile users. User mobility, heterogeneous nature of multimedia traffic, and limited radio spectrum pose significant challenges to CAC. QoS provisioning to both new calls and handoff calls comes with a cost of low resource utilization. This paper proposes a CAC policy for a wireless communication system supporting integrated voice and dataservices. In particular, soft QoS (or relaxed target QoS) is incorporated in the CAC policy to make compromises among different objectives.Numerical results are presented to demonstrate that (a) in dealing with the dilemma between QoS satisfaction and high resource utilization, how the resource utilization efficiency can be increased by introducing soft QoS; and (b) in accommodating different types of traffic, how the QoS of low priority traffic can be improved by specifying soft QoS to high priority traffic.