A knowledge-based model for analyzing GSM network performance

Authors:
Pasi Lehtimäki;Kimmo Raivio
Affiliations:
Laboratory of Computer and Information Science, Helsinki University of Technology,HUT, Finland;Laboratory of Computer and Information Science, Helsinki University of Technology,HUT, Finland
Venue:
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Year:
2005

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Abstract

In this paper, a method to analyze GSM network performance on the basis of massive data records and application domain knowledge is presented. The available measurements are divided into variable sets describing the performance of the different subsystems of the GSM network. Simple mathematical models for the subsystems are proposed. The model parameters are estimated from the available data record using quadratic programming. The parameter estimates are used to find the input-output variable pairs involved in the most severe performance degradations. Finally, the resulting variable pairs are visualized as a tree-shaped cause-effect chain in order to allow user friendly analysis of the network performance.