Estimation of SS7 traffic in UMTS network

In this paper, we present a general model for the prediction of signaling traffic in a network where the terminal mobility shares the signaling infrastructure of fixed services. The model uses state transitions to estimate calling patterns and usage of services. In addition, methods of mapping state transitions to physical movements are presented. We examine a number of dynamic phenomena observed in pedestrian traffic, including platooning effects, the relationship between speed and density, and the effect of traffic lights on pedestrian flow distribution. Finally, the results of a simulation study are presented, and the model´s application to the prediction of distribution of both inbuilding and outdoor offered calling traffic is demonstrated. We illustrate the resulting observed signaling traffic by taking the interface points of the IS-136a standard as an example