• DocumentCode
    1462626
  • Title

    Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrials

  • Author

    Marsan, Marco Ajmone ; De Carolis, Giovanni ; Leonardi, Emilio ; Cigno, Renato Lo ; Meo, Michela

  • Author_Institution
    Dipartimento di Elettronica, Politecnico di Torino, Italy
  • Volume
    19
  • Issue
    2
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    332
  • Lastpage
    346
  • Abstract
    A novel approximate technique is proposed for the estimation of call blocking probabilities in cellular mobile telephony networks where call blocking triggers customer retrials. The approximate analysis technique is based on Markovian models with state spaces whose cardinalities are proportional to the maximum number of calls that can be simultaneously in progress within cells. The accuracy of the approximate technique is assessed by comparison against results of detailed simulation experiments, results of a previously proposed Markovian analysis approach, and upper and lower bounds to the call blocking probability. Numerical results show that the proposed approximate technique is very accurate, in spite of the remarkably small state spaces of the Markovian models
  • Keywords
    Markov processes; approximation theory; cellular radio; probability; queueing theory; radio networks; radiotelephony; Markovian analysis; Markovian models; approximate technique; call blocking probabilities; cellular mobile telephony networks; customer retrials; efficient estimation; lower bound; queueing network models; simulation experiments; state spaces; upper bound; Analytical models; Associate members; Cellular networks; Context modeling; GSM; Intelligent networks; Land mobile radio cellular systems; Queueing analysis; State-space methods; Telephony;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.914511
  • Filename
    914511