Automated troubleshooting of a UMTS-WLAN test platform

Ronan Skehill, Sean McGrath, Carlos Antonio De Ramos

Research output: Contribution to conferencePaperpeer-review

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.

Original languageEnglish
DOIs
Publication statusPublished - 2008
Event4th International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TRIDENTCOM 2008 - Innsbruck, Austria
Duration: 17 Mar 200820 Mar 2008

Conference

Conference4th International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TRIDENTCOM 2008
Country/TerritoryAustria
CityInnsbruck
Period17/03/0820/03/08

Keywords

  • Automated troubleshooting
  • Test platform

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