ARCD: a Solution for Root Cause Diagnosis in Mobile Networks

Maha Mdini 1, 2, 3, 4, 5 Gwendal Simon 4, 3, 1, 2 Alberto Blanc 1 Julien Lecoeuvre 6
1 ADOPNET - Advanced technologies for operated networks
UR1 - Université de Rennes 1, IMT Atlantique - IMT Atlantique Bretagne-Pays de la Loire, IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
2 IMT Atlantique - IMT Atlantique Bretagne-Pays de la Loire
3 IMT Atlantique - SRCD - Département Systèmes Réseaux, Cybersécurité et Droit du numérique
4 IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
5 Exfo
6 exfo
Abstract : With the growth of cellular networks, the supervision and troubleshooting tasks have become troublesome. We present a root cause diagnosis framework that identifies the major contributors (devices, services, user groups) to the network overall inefficiency, classifies these major contributors into groups and explores the dependencies between the different groups. Our solution provides telecommunication experts with a graph summing up the fault locations and their eventual dependencies, which helps them to trigger the adequate maintenance operation.
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Submitted on : Thursday, December 20, 2018 - 8:55:20 PM
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  • HAL Id : hal-01962869, version 1

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IMT-ATLANTIQUE | CNRS | UNIV-RENNES1 | CENTRALESUPELEC | IRISA | INRIA | UNIV-RENNES | INSA-GROUPE | UR1-UFR-ISTIC

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Maha Mdini, Gwendal Simon, Alberto Blanc, Julien Lecoeuvre. ARCD: a Solution for Root Cause Diagnosis in Mobile Networks. 14th International Conference on Network and Service Management (CNSM), Nov 2018, Roma, Italy. ⟨hal-01962869⟩

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