A novel analytical model for optimal channel partitioning in the next generation integrated wireless and mobile networks

Authors:
Hang Chen;Qing-An Zeng;Dharma P. Agrawal
Affiliations:
University of Cincinnati, Cincinnati, OH;University of Cincinnati, Cincinnati, OH;University of Cincinnati, Cincinnati, OH
Venue:
MSWiM '02 Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Year:
2002

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Abstract

This paper presents an efficient algorithm for near optimal channel assignment when different types of services are to be provided in the next generation integrated wireless and mobile networks. We specifically propose a preemptive priority scheme for an integrated wireless and mobile network by first dividing channels into three independent groups and classifying traffic into four different types. The proposed system is modeled by Markov chain model, and then such a model is used to obtain a set of relations that correlate performances with various system parameters. We have analytically determined the minimal number of channels required for each type of traffic that can satisfy a desired level of QoS (Quality of Service) requirements. We also investigate the impact of load ratio for different types of traffic on channel assignment. Finally, we discuss some limitations of our approach and indicate possible future work. We believe that the partitioning scheme proposed in this paper can become a starting point for analysis of future integrated wireless and mobile networks.