A Probabilistic Approach To Faults Prediction in Cellular Networks

Author

Kogeda, Okuthe P. ; Agbinya, Johnson I. ; Omlin, Christian W.

Author_Institution

University of the Western Cape, South Africa.

fYear

2006

fDate

23-29 April 2006

Firstpage

130

Lastpage

130

Abstract

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.

Keywords

Bayesian network; Cellular networks; Fault Prediction; Probabilisticmodels; causality; conditional probability; fault management; services and simulation.; Bayesian methods; Computer science; Fault detection; Intelligent networks; Intelligent systems; Land mobile radio cellular systems; Management training; Predictive models; Robustness; Video on demand; Bayesian network; Cellular networks; Fault Prediction; Probabilisticmodels; causality; conditional probability; fault management; services and simulation.;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, 2006. ICN/ICONS/MCL 2006. International Conference on

Print_ISBN

0-7695-2552-0

Type

conf

DOI

10.1109/ICNICONSMCL.2006.29

Filename

1628376