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On a Queueing Network Model for Cellular Mobile Telecommunications Networks

Author

Listed:
  • Richard J. Boucherie

    (Department of Econometrics, Universiteit van Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands)

  • Nico M. van Dijk

    (Department of Econometrics, Universiteit van Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands)

Abstract

This paper presents a queueing network description of a cellular mobile communications network. These cellular networks are characterised by the call lengths, the fresh call arrival rate, and the handover rates, as well as the capacity restrictions on the number of calls because of limited bandwidth. In the resulting queueing network the routing probabilities depend on the age of the customers. This queueing network is amenable to analysis via known methods. In particular, insensitivity results are generalised to also include capacity restrictions under age-dependent routing and to include call holding time distributions of customers moving from one queue to another.

Suggested Citation

  • Richard J. Boucherie & Nico M. van Dijk, 2000. "On a Queueing Network Model for Cellular Mobile Telecommunications Networks," Operations Research, INFORMS, vol. 48(1), pages 38-49, February.
    • Handle: RePEc:inm:oropre:v:48:y:2000:i:1:p:38-49
    DOI: 10.1287/opre.48.1.38.12446
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    References listed on IDEAS

    as
    1. D. L. Pallant & P. G. Taylor, 1995. "Modeling Handovers in Cellular Mobile Networks with Dynamic Channel Allocation," Operations Research, INFORMS, vol. 43(1), pages 33-42, February.
    2. Hordijk, A. & Schassberger, R., 1982. "Weak convergence for generalized semi-Markov processes," Stochastic Processes and their Applications, Elsevier, vol. 12(3), pages 271-291, May.
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    Citations

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    Cited by:

    1. Ule, Aljaz & Boucherie, Richard J., 2003. "On the distribution of calls in a wireless network driven by fluid traffic," European Journal of Operational Research, Elsevier, vol. 147(1), pages 146-155, May.
    2. Balsamo, Simonetta & Marin, Andrea, 2013. "Separable solutions for Markov processes in random environments," European Journal of Operational Research, Elsevier, vol. 229(2), pages 391-403.

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