Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Self-Organizing Maps
Radio Resource Management for Wireless Networks
Radio Resource Management for Wireless Networks
Radio Network Planning and Optimisation for Umts
Radio Network Planning and Optimisation for Umts
Advanced analysis methods for 3G cellular networks
IEEE Transactions on Wireless Communications
Clustering of the self-organizing map
IEEE Transactions on Neural Networks
Analysis of soft handover measurements in 3G network
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
A model for optimisation of signal level thresholds in GSM networks
International Journal of Mobile Network Design and Innovation
Knowledge acquisition for diagnosis model in wireless networks
Expert Systems with Applications: An International Journal
A knowledge-based model for analyzing GSM network performance
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Hi-index | 0.00 |
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.