• DocumentCode
    1550691
  • Title

    Evaluation of methods for determining the mobile traffic distribution in cellular radio networks

  • Author

    Collmann, Ralf R.

  • Author_Institution
    Fachbereich Elektrotechnik, HTW Dresden, Germany
  • Volume
    50
  • Issue
    6
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    1629
  • Lastpage
    1635
  • Abstract
    Locating the mobile traffic distribution is performed by comparing measured field strength samples with predicted field strength values from a radio network planning tool. The convergence of three approaches has been investigated: standard deviation method, least mean squares method, and Gauss probability method. Improvements like call-by-call evaluation have been introduced to reduce the calculation time and to improve the accuracy of the statistical evaluation of the mobile traffic distribution. The methods were verified using field-strength samples and corresponding position data of field measurements made with a vehicle within a mobile network. It has been shown that the accuracy of determining the mobile traffic distribution in this way strongly depends on the reliability of field strength predictions made by a radio network planning tool. With the methods presented, the creation of traffic databases with a high resolution and the detection of mobile network areas with high traffic load-so-called hot spots-becomes possible
  • Keywords
    cellular radio; convergence of numerical methods; least mean squares methods; probability; radio direction-finding; radio networks; statistical analysis; telecommunication network planning; telecommunication traffic; Gauss probability method; cellular radio networks; high traffic load-so; hot spots; least mean squares method; measured field strength samples; mobile network; mobile position detection; mobile traffic distribution; predicted field strength values; radio network planning tool; standard deviation method; statistical evaluation; traffic databases; Convergence; Databases; Gaussian processes; Least mean squares methods; Performance evaluation; Position measurement; Probability; Radio network; Telecommunication traffic; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/25.966591
  • Filename
    966591