Name
Abstract | ||
|---|---|---|
In the forthcoming years, different radio access technologies (GSM, GPRS, UNITS, etc.) will have to coexist within the same cellular network. In this scenario of increasingly complex networks, automated management is becoming a crucial issue to provide high-quality services. In this paper, a system for automatic fault diagnosis of the radio access part of a mobile communication system is presented. For this purpose, a probabilistic diagnosis model based on discrete Bayesian Networks (BNs) is proposed. There is always a trade-off between accuracy and complexity of the model. Hence, two alternative structures to code the dependencies among elements in the model are compared with regard to their simplicity and performance. Empirical results are examined, based on data from a live GSM/GPRS network. Taking into account the experiments, a BN structure is selected for diagnosis in cellular networks. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/VETECS.2006.1682971 | 2006 IEEE 63RD VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6 |
Keywords | Field | DocType |
intelligent networks,cellular network,probabilistic model,mobile communication,complex networks,gsm,bayesian methods,bayesian network,complex network,ground penetrating radar | GSM,UMTS frequency bands,Computer science,Computer network,Bayesian network,Complex network,Cellular network,Intelligent Network,Probabilistic logic,General Packet Radio Service | Conference |
ISSN | Citations | PageRank |
1550-2252 | 3 | 0.44 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raquel Barco | 1 | 364 | 41.12 |
| Volker Wille | 2 | 130 | 13.37 |
| L. Díez | 3 | 141 | 23.21 |
| Pedro Lazaro | 4 | 50 | 4.18 |