A Probabilistic Approach To Faults Prediction in Cellular Networks

This paper discusses modelling and prediction of faults in cellular networks. We derive probabilistic models of the cellular network systems in which the independence relations between the variables of interest are represented explicitly. We use a directed graph in which two nodes are connected by an edge if one is a direct cause of the other. We present the process of construction of a structure of a Bayesian network. We explored the complexity and performance of fault prediction using Bayesian network.