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 language | English |
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DOIs | |
Publication status | Published - 2008 |
Event | 4th International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TRIDENTCOM 2008 - Innsbruck, Austria Duration: 17 Mar 2008 → 20 Mar 2008 |
Conference
Conference | 4th International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TRIDENTCOM 2008 |
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Country/Territory | Austria |
City | Innsbruck |
Period | 17/03/08 → 20/03/08 |
Keywords
- Automated troubleshooting
- Test platform