Troubleshooting in GSM mobile telecommunication networks based on domain model and sensory information

Authors:
Dragan Obradovic;Ruxandra Lupas Scheiterer
Affiliations:
Siemens AG, Corporate Technology, Information and Communications, Munich, Germany;Siemens AG, Corporate Technology, Information and Communications, Munich, Germany
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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Abstract

Mobile cellular telecommunication networks are complex dynamic systems whose troubleshooting presents formidable challenges. Typically, the network performance analysis is carried out on a network cell basis and it is based on the traffic information obtained from various sensors such as the number of requested calls, number of dropped calls, number of handovers, etc. This paper presents a novel troubleshooting system, which provides likelihood of different user-specified root causes of performance degradation based on the observed sensory information and the underlying domain model. This domain model has a form of a Causal Network whose structure is appropriately chosen. The novelty of the herein presented approach is that the domain model is initially based on expert knowledge and later on refined via supervised learning with the data gathered during system operation.