A Markovian model for mobile cellular networks with QoS differentiation

This paper presents a realistic and accurate analytical model to dimension mobile cellular networks with QoS differentiation. QoS per applicative flow is commonly defined in GPRS/EDGE or 3G systems where streaming applications with real time properties and elastic data applications have to share radio resources. The need for accurate and fast-computing tools is of primary importance to tackle complex and exhaustive dimensioning issues. In this paper, we present a generic QoS analytical model developed in the context of EDGE networks but that can be adapted to a different technology. We develop a Markovian model that takes into account the QoS differentiation between real time and non-real time classes and gives expressions for all the required performance parameters. We compare our model with simulation and show its accuracy.