A SOM based approach for visualization of GSM network performance data
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
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
Expert Systems with Applications: An International Journal
Tool development for post processing analysis of WCDMA measurements
ICCOM'07 Proceedings of the 11th Conference on 11th WSEAS International Conference on Communications - Volume 11
A model for optimisation of signal level thresholds in GSM networks
International Journal of Mobile Network Design and Innovation
Anomaly detection in mobile communication networks using the self-organizing map
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - VIII Brazilian Symposium on Neural Networks
System-level simulation results of UMTS networks with smart antennas
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Local anomaly detection for mobile network monitoring
Information Sciences: an International Journal
A stratified traffic sampling methodology for seeing the big picture
Computer Networks: The International Journal of Computer and Telecommunications Networking
Knowledge acquisition for diagnosis model in wireless networks
Expert Systems with Applications: An International Journal
Learning of model parameters for fault diagnosis in wireless networks
Wireless Networks
Anomaly detection using self-organizing map and wavelets in wireless sensor networks
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Anomaly detection in wireless sensor networks using self-organizing map and wavelets
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
A knowledge-based model for analyzing GSM network performance
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Analysing 3G radio network performance with fuzzy methods
Neurocomputing
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The operation and maintenance of the third generation (3G) mobile networks will be challenging. These networks will be strongly service driven, and this approach differs significantly from the traditional speech dominated in the second generation (2G) approach. Compared to 2G, in 3G, the mobile cells interact and interfere with each other more, they have hundreds of adjustable parameters, and they monitor and record data related to several hundreds of different variables in each cell. This paper shows that a neural network algorithm called the self-organizing map, together with a conventional clustering method like the k-means, can effectively be used to simplify and focus network analysis. It is shown that these algorithms help in visualizing and grouping similarly behaving cells. Thus, it is easier for a human expert to discern different states of the network. This makes it possible to perform faster and more efficient troubleshooting and optimization of the parameters of the cells. The presented methods are applicable for different radio access network technologies.