A Probabilistic Approach to Faults Prediction in Cellular Networks

IEEE Computer Society
Publication Type:
Conference Proceeding
Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06), 2006, pp. 130 - 135
Issue Date:
Full metadata record
Files in This Item:
Filename Description SizeFormat
2006004743.pdf285.64 kBAdobe PDF
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.
Please use this identifier to cite or link to this item: