Trial report on self-organizing map based analysis tool for radio networks [GSM applications]

Author

Kylväjä, Mikko ; Hätönen, Kimmo ; Kumpulainen, Pekka ; Laiho, Jaana ; Lehtimäki, Pasi ; Raivio, Kimmo ; Vehviläinen, Pekko

Volume

4

fYear

2004

fDate

17-19 May 2004

Firstpage

2365

Abstract

Telecommunications networks move towards wireless applications and service and business driven network management. Operators provide new services on different access technologies, in a multi-technology environment. This shift in abstraction level towards services, away from technology and network element management, requires new tools and methods to support the operational tasks, of which service monitoring and traffic analysis is an especially important area. In this paper, the concept of a neural network based tool that aids the operators in detecting the quality of end-user experience (QoE) is introduced.

Keywords

cellular radio; data visualisation; quality of service; self-organising feature maps; telecommunication network management; GSM network cells; QoE; SOM-based analysis tool; business driven network management; data visualization; multitechnology environment; network operational support; neural network based tool; quality of end-user experience; radio network analysis; self-organizing map; service driven network management; service monitoring; traffic analysis; Clustering algorithms; Data analysis; Data mining; Data preprocessing; Data visualization; GSM; Neural networks; Performance analysis; Radio networks; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th

ISSN

1550-2252

Print_ISBN

0-7803-8255-2

Type

conf

DOI

10.1109/VETECS.2004.1390698

Filename

1390698