Title
Contextualized indicators for online failure diagnosis in cellular networks
Abstract
This paper presents a novel approach for self-healing in cellular networks based on the application of mobile terminals context information: time, service, activity, identity and, especially, location. Context information is therefore used to support root cause analysis, providing improved network fault diagnosis compared to classical non-context-aware approaches. The integration of context information is implemented by means of the newly defined contextualized indicators. These are used in order to integrate user equipment context information in pre-existent failure management schemes. The presented techniques are especially suitable for indoor small cell scenarios, whose particular conditions of dynamic user distribution, overlapping coverage, dynamic radio and service provisioning environment, etc., make previous diagnosis schemes especially unreliable. The algorithms and methodology for the proposed context-aware system are defined and its performance is assessed by means of an LTE system-level simulator.
Year
DOI
Venue
2015
10.1016/j.comnet.2015.02.031
Computer Networks
Keywords
Field
DocType
Self-healing,Diagnosis,Context-aware,Localization,Small cells,LTE
Service provisioning,Computer science,Root cause analysis,Computer network,User equipment,Failure management,Cellular network,Distributed computing
Journal
Volume
Issue
ISSN
82
C
1389-1286
Citations 
PageRank 
References 
1
0.36
25
Authors
4
Name
Order
Citations
PageRank
Sergio Fortes Rodriguez1447.45
Raquel Barco236441.12
Alejandro Aguilar-García3405.03
Pablo Muñoz Luengo421717.83