A framework for modelling mobile radio access networks for intelligent fault management

Marwan Awad, Hassan Hamdoun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
7 Downloads (Pure)

Abstract

The increased level of heterogeneity among the network components of current mobile Radio Access Networks (RANs), has meant that conventional network troubleshooting techniques are no longer sustainable; impacting negatively on customer experience and Quality of Service (QoS). Intelligent Fault Management (IFM) is a promising approach that utilizes the power of data mining in addressing emerging and future challenges in RAN network troubleshooting and performance management. This paper provides a comprehensive integrated RAN modelling framework in order to reflect protocol, topology, service inventory, and correlations between Alarms in a typical Mobile Radio Access Network (RAN). It proposes and presents results from a RAN model leading towards an effective Network Management System (NMS) datasets that could be analysed to discover alarm rules, associations and core drivers using different data mining techniques, graph theory measures and data benchmarking methodologies.

Original languageEnglish
Title of host publicationProceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages43-49
Number of pages7
ISBN (Electronic)9781509018123
DOIs
Publication statusPublished - 25 Apr 2016
EventConference of Basic Sciences and Engineering Studies, SGCAC 2016 - Khartoum, Sudan
Duration: 20 Feb 201623 Feb 2016

Conference

ConferenceConference of Basic Sciences and Engineering Studies, SGCAC 2016
CountrySudan
CityKhartoum
Period20/02/1623/02/16

Keywords

  • Data Mining
  • Intelligent Fault Management
  • Network Graph and RAN Model
  • Radio Access Network (RAN)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology

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  • Cite this

    Awad, M., & Hamdoun, H. (2016). A framework for modelling mobile radio access networks for intelligent fault management. In Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016 (pp. 43-49). [7458004] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SGCAC.2016.7458004