A Self-Similar Call Admission Control Algorithm in WiMAX
- 1 School of Computer Science and Engineering, Southeast University, Nanjing, China
- 2 School of Computer Science and Engineering, Southeast University, Nanjing, China
- 3 Key Laboratory of Computer Network and Information Integration Ministry of Education, Southeast University, Nanjing, China
- 4 College of Information Science and Technology, Nanjing Forestry University, Nanjing, China
Abstract
Modelling WiMAX network traffic based on the self-similarity character is better than the traditional model based on the Poisson process, because the former can provide more accurate calculation for effective bandwidth. In this paper we propose a WiMAX network traffic model based on M/Pareto model to describe its self-similarity character. Then we deduce the average transmission rate and the variance coefficient for the FBM traffic model by the M/Pareto model, and get the Hurst parameter of the FBM traffic model by statistical analysis method. By the FBM traffic model we get a formula for calculating the effective bandwidth. Accordingly, we propose a modified self-similar call admission control algorithm (SS-CAC). SS-CAC can avoid measuring the parameter values of FBM traffic flow to do call admission control. Simulation results show that SS-CAC greatly reduces the call blocking rate and improves the bandwidth utilization.
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