• DocumentCode
    558720
  • Title

    Automatic detection of sub-optimal performance in UMTS networks based on drive-test measurements

  • Author

    Sallent, O. ; Pérez-Romero, J. ; Sánchez-González, J. ; Agustí, R. ; Díaz-Guerra, M.A. ; Henche, D. ; Paul, D.

  • Author_Institution
    Univ. Politec. de Catalunya (UPC), Barcelona, Spain
  • fYear
    2011
  • fDate
    24-28 Oct. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a methodology for the automatic detection of sub-optimal performance in UMTS networks based on drive-test measurements. The proposed methodology can be seen as a first step towards the more ambitious objective of implementing Self-Organising Network (SON) concepts in future wireless networks. In fact, the lessons learnt from real UMTS case studies enable the identification of key issues related to self-optimisation whose relevance can be more difficult to attain theoretically. In particular, this paper presents algorithms targeting the identification of coverage holes, cell overlaps and cell overshooting. Relevant quality indicators are identified in each case. A case study with real data extracted from a medium-size European city is presented to illustrate the methodology.
  • Keywords
    3G mobile communication; self-organising feature maps; telecommunication computing; UMTS networks; cell overlap identification; cell overshooting identification; coverage hole identification; drive-test measurements; medium-size European city; quality indicators; selfoptimisation; selforganising network concepts; suboptimal performance automatic detection; 3G mobile communication; Area measurement; Clustering algorithms; Indexes; Optimization; Radio frequency; Automated optimisation; Key Performance Indicators; UMTS; coverage; overlap; overshooting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network and Service Management (CNSM), 2011 7th International Conference on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4577-1588-4
  • Electronic_ISBN
    978-3-901882-44-9
  • Type

    conf

  • Filename
    6104010