Automated troubleshooting of a UMTS-WLAN test platform

Authors:
Ronan Skehill;Carlos Antonio De Ramos;Sean Mc Grath
Affiliations:
Electronic and Computer Engineering Department, University of Limerick, Limerick, Ireland;Electronic and Computer Engineering Department, University of Limerick, Limerick, Ireland;Electronic and Computer Engineering Department, University of Limerick, Limerick, Ireland
Venue:
Mobile Networks and Applications
Year:
2010

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Abstract

Amongst troubleshooting tasks, correct diagnosis of faults is a complex and time consuming task. Bayesian Networks provide a modelling approach suitable to cater for the uncertainty inherent in human reasoning. The method presented in this paper, valid towards any system, is applied to a UMTS/WLAN test platform which replicates real world cellular networks. The results conclusively show Bayesian Networks automatically diagnoses faults in the test platform with a high success rate.