• DocumentCode
    1402475
  • Title

    Spatial traffic estimation and characterization for mobile communication network design

  • Author

    Tutschku, Kurt ; Tran-Gia, Phuoc

  • Author_Institution
    Lehrstuhl fur Inf., Wurzburg Univ., Germany
  • Volume
    16
  • Issue
    5
  • fYear
    1998
  • fDate
    6/1/1998 12:00:00 AM
  • Firstpage
    804
  • Lastpage
    811
  • Abstract
    This paper presents a new method for the estimation and characterization of the expected teletraffic in mobile communication networks. The method considers the teletraffic from the network viewpoint. The traffic estimation is based on the geographic traffic model, which obeys the geographical and demographical factors for the demand for mobile communication services. For the spatial teletraffic characterization, a novel representation technique is introduced which uses the notion of discrete demand nodes. We show how the information in geographical information systems can be used to estimate the teletraffic demand in an early phase of the network design process. Additionally, we outline how the discrete demand node representation facilitates the application of demand-based automatic mobile network design algorithms
  • Keywords
    cellular radio; geographic information systems; land mobile radio; planning; radio networks; telecommunication traffic; Integrated Cellular network Planning Tool; automatic mobile network design algorithms; demographical factors; discrete demand nodes; geographic traffic model; geographical factors; geographical information systems; mobile communication network design; mobile communication services; spatial teletraffic characterization; spatial traffic estimation; teletraffic; teletraffic demand; traffic estimation; Base stations; Clustering algorithms; Mobile communication; Multiaccess communication; Process design; Radio frequency; Space technology; Switches; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.700914
  • Filename
    700914