Stochastic decision-based analysis of admission control policy in multimedia wireless networks

Authors:
Nidal Nasser
Affiliations:
Department of Computing & Information Science, University of Guelph, Guelph, Ontario, Canada
Venue:
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Year:
2005

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Abstract

Providing multimedia services with Quality of Service (QoS) guarantees in next generation wireless cellular networks poses great challenges due to the scarce radio bandwidth. Effective Call Admission Control (CAC) is important for the efficient utilization of the limited bandwidth. In this paper, the design of CAC for a decision-based Markovian model of multimedia wireless networks is considered. We propose an optimal CAC policy that aims at maximizing the system utilization while stratifying the QoS constraints bounding the handoff dropping probability of each traffic class. We used the Semi-Markov Decision Process (SMDP) technique to represent the proposed CAC. The optimal CAC decisions for each state are found by solving the linear programming formulation problem. Numerical and Simulation results show that the system upholds the handoff call dropping probability required by each traffic class while maximizing revenue for service providers. The requirements of the mobile users are hence satisfied in periods with different loads, including overload. Moreover, the implemented policy ensures efficient utilization of resources. This latter facet is highly desirable by service providers.