Modeling of media gateway nodes for next generation networks based on Markov reward models

This paper is devoted to modeling and analysis of media gateway nodes for the next generation networks based on Markov reward models. The bandwidth sharing policy with partial overlapped transmission link is considered. Calls arriving to the link that belong to VBR and ABR traffic classes, are presented as independent Poisson processes and Markov processes with constant intensity or random input stream, and exponential service delay time. Service delay time is defined according to MRM. Compression of traffic classes with partial overlapped transmission link is calculated using vector quantification. Simulation and numerical examples are shown.