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Title: Virtual partitioning resource allocation for multiclass traffic in cellular systems with QoS constraints
Authors: Yao, J. 
Mark, J.W.
Wong, T.C.
Chew, Y.H.
Lye, K.M.
Chua, K.-C. 
Keywords: Approximate analysis
Call-admission control
Code-division multiple-access (CDMA) cellular system
Grade of service
Multiclass traffic
Quality of service
Resource allocation
Virtual partition
Issue Date: May-2004
Citation: Yao, J., Mark, J.W., Wong, T.C., Chew, Y.H., Lye, K.M., Chua, K.-C. (2004-05). Virtual partitioning resource allocation for multiclass traffic in cellular systems with QoS constraints. IEEE Transactions on Vehicular Technology 53 (3) : 847-864. ScholarBank@NUS Repository.
Abstract: Resource allocation is a vital component of call-admission control that determines the amount of resource to assign to new and handoff connections for quality-of-service (QoS) satisfaction. In this paper, we present approximate analytical formulations of virtual partitioning resource-allocation schemes for handling multiclass services with guard channels in a cellular system. Resource-allocation models for best effort and guarantee access with preemption for best effort traffic and virtual partition with preemption for all classes are investigated. The analytical models, derived using a K-dimensional Markov chain, are solved using preemption rules for these schemes. Call-level grade of service, such as new-call-blocking probability, handoff-call-blocking probability, and system utilization, and packet-level QoS, such as packet-loss probability, are used as performance metrics. The performances of fast and slow mobile users are evaluated analytically and by simulation. The analytical and simulation results show excellent agreement. A method to maximize system utilization through joint optimization of call-/packet-level parameters is proposed. Numerical results indicate that significant gain in system utilization is achieved.
Source Title: IEEE Transactions on Vehicular Technology
ISSN: 00189545
DOI: 10.1109/TVT.2004.825746
Appears in Collections:Staff Publications

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