Importance of accurate mobility modeling in teletraffic analysis of the mobile environment

This paper shows the importance of taking into account accurate mobility effects in performance evaluation of key teletraffic metrics of mobile communication networks. To accomplish the task, we introduce a new discrete stochastic node, the pole of gravity characterizing the temporal and spatial behavior of mobile users. This novel concept forms the realm of our mobility model termed as scalable mobility model (SMM) and provides a realistic set of paths traversed by subscribers on a daily basis by taking into account attraction points, geographical environments, time factor and grouping individual subscribers into specific classes of mobility. Using this approach, we demonstrate the need and importance of taking mobility-related factors in the analysis of teletraffic issues by investigating the signaling and traffic related parameters such cell residence time and traffic load. Our simulations results include a comparative performance of SMM against the well known random way point model for same performances issues for the City Area of Bristol, UK during the rush and busy hour.