A Bayesian Approach for Automated Troubleshooting for UMTS Networks

Author

Khanafer, Rana ; Moltsen, Lars ; Dubreil, Hervé ; Altman, Zwi ; Barco, Raquel

Author_Institution

France Telecom R&D, Issy-les-Moulineaux

fYear

2006

fDate

11-14 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

Troubleshooting (TS) in UMTS networks are basic management tasks required to guarantee efficient usage of the network infrastructure. This paper presents a methodology for automating TS tasks based on Bayesian networks (BN). In a first learning phase, data relating symptoms and alarms to faults in the network is extracted and used to create the TS model. In a second phase, symptoms and alarms are used to identify faults with the highest probabilities. A TS case study using a dynamic system simulator illustrates the effectiveness of the proposed approach

Keywords

3G mobile communication; Bayes methods; fault diagnosis; telecommunication network management; Bayesian networks; UMTS networks; automated troubleshooting; dynamic system simulator; fault identification; learning phase; management task; network infrastructure; 3G mobile communication; Bayesian methods; Databases; Fault diagnosis; Hardware; Radio spectrum management; Research and development; Resource management; Telecommunications; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 2006 IEEE 17th International Symposium on

Conference_Location

Helsinki

Print_ISBN

1-4244-0329-4

Electronic_ISBN

1-4244-0330-8

Type

conf

DOI

10.1109/PIMRC.2006.254370

Filename

4022501