• DocumentCode
    3499009
  • Title

    Estimate the Call Duration Distribution Parameters in GSM System Based on K-L Divergence Method

  • Author

    Guo, Junqiang ; Liu, Fasheng ; Zhu, Zhiqiang

  • Author_Institution
    Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    2988
  • Lastpage
    2991
  • Abstract
    This article analyses call duration probability density function and its parameters in GSM system. The sample data are obtained from an actual system, and the observed call duration is as long as 1800 seconds. K-L divergence method has been introduced to compare the goodness of candidate call duration probability density functions, and to estimate the parameters of three candidate probability density functions. Using these parameters, a day time hour performance of the GSM system is predicted. The comparison shows that lognormal distribution of call duration is more precise than exponential or Erlang distribution in the performance prediction in GSM system.
  • Keywords
    cellular radio; log normal distribution; parameter estimation; Erlang distribution; GSM system; K-L divergence method; call duration distribution parameter estimation; lognormal distribution; probability density function; Educational institutions; Entropy; GSM; Information analysis; Parameter estimation; Probability density function; Probability distribution; Switches; Telephony; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.742
  • Filename
    4340517