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IEAAIE
2005
Springer

A SOM Based Approach for Visualization of GSM Network Performance Data

9 years 9 months ago
A SOM Based Approach for Visualization of GSM Network Performance Data
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable proportion of measurement data is selected. Then, the selected set of multi-dimensional data is projected into two-dimensional space for visualization purposes with a neural network algorithm called Self-Organizing Map (SOM). Then, the data is clustered and additional visualizations for each data cluster are provided in order to infer the presence of various failure types, their sources and times of occurrence. We apply the proposed approach in the analysis of degradations in signaling and traffic channel capacity of a GSM network. Keywords. data mining, neural networks, visualization, self-organizing map, telecommunications.
Pasi Lehtimäki, Kimmo Raivio
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IEAAIE
Authors Pasi Lehtimäki, Kimmo Raivio
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