Automated troubleshooting of a UMTS-WLAN test platform

Authors:
Ronan Skehill;Sean McGrath;Carlos Antonio de Ramos
Affiliations:
University of Limerick, Limerick, Ireland;University of Limerick, Limerick, Ireland;University of Limerick, Limerick, Ireland
Venue:
Proceedings of the 4th International Conference on Testbeds and research infrastructures for the development of networks & communities
Year:
2008

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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 a real world cellular networks. The results conclusively show Bayesian Networks automatically diagnoses faults in the test platform with a high success rate.