Data Mining for Digital Mobile Telecommunication Network’s Quality of Service Performance Measurements

Author:	Vehviläinen Pekko, Tampere University of Technology, Finland
Topic:	1.2 Adaptive and Learning Systems
Session:	Applications of Adaptive and Learning Control
Keywords:	data processing, quality, telecommunication, networks, classifiers, self-organizing systems, knowledge-based systems

Abstract

Digital mobile telecommunication networks are complex systems and thus their management and optimization are challenging tasks. The subscriber expectations constitute the Quality of Service (QoS). The operating personnel have to measure the network in terms of the QoS. By analyzing the information in the measurements, they can manage and improve the QoS. Two data mining methods were applied to actual GSM network performance measurements. The personnel's prior knowledge of the network and their possible inexperience of the theory behind the methods was taken into account.