Advertisement

Wireless Personal Communications

, Volume 15, Issue 2, pp 125–144 | Cite as

Scalable Schemes for Call Admission and Handover in Cellular Networks with Multiple Services

  • Khalid Begain
  • Gunter Bolch
  • Miklós Telek
Article

Abstract

The introduction of new service categories withdifferent bandwidth requirements, e.g., data and multimedia, to cellularmobile radio networks makes many of the traditional mechanisms for controlingtraffic unusable orless efficient. The call admission and the handover handling are of the mostsensitive issues in this extension to new services. The performance of allservices includingthe traditional voice and the new services can be dramatically affected ifappropriate schemes are not used. In this paper, we propose call admission andhandover handling schemes for a cellular mobile network that offers twoservice types: voice and data. The data connections are assumed to transmitatdifferent transmission rates that are integer multiples to that of one radiochannel. In the case of congestion, the base station asks the active dataconnections to reduce their transmission rate in order to provide freechannels for the newly arrived request of both service types. This isbasically intended for incoming handover requests. The request will berejected if the transmission rate of the active connections reaches a givenminimum rate. Similar mechanism can also be used for new call arrivals, butsome priority can be given to handovers by setting a higher transmission ratethreshold for the new call rejection. As an extension to the proposedscalability, aqueuing of new calls is also proposed and analyzed. Analytical models werebuilt for the two proposed schemes together with the traditional channelreservation scheme. The effect of different traffic and configurationparameters on the performance measures like the grade of service, blockingprobabilities, and utilization, are studied using the proposed technique.Results show that the proposed schemes provide very good performance and morefairness among the different service types.

cellular mobile network call admission handover handling Markov models MOSEL language 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    D. Hong and S. Rapport, “Traffic Model and Performance Analysis for the Cellular Mobile Radio Telephony System with Prioritized and Non-Prioritized Handoff Procedures”, IEEE Transaction on Vehicular Technology, Vol. VT-35, No.3, 1986.Google Scholar
  2. 2.
    R. Steele and M. Nofal, “Teletraffic Performance of Microcellular Personal Communication Networks”, IEE Proceedings-I, Vol. 139, No.4, 1992.Google Scholar
  3. 3.
    S. Marano and C. Mastroianni, “A Hierarchical Network Scheme for Multilayered Cellular Systems”, in Proc. of the VTC 1997, Phoenix, Arizona, May 1997, U.S.A.Google Scholar
  4. 4.
    S. Tekinay, B. Jabbari and A. Kakaes, “Modeling of Cellular Communication Networks with Heterogeneous Traffic Sources”, in Proc. of ICUPC, 1993.Google Scholar
  5. 5.
    S. Kumar and D.R. Vaman, “An Access Protocol for Supporting Multiple Classes of Services in a Local Wireless Environment”, IEEE Transaction on Vehicular Technology, Vol. VT-45, No.2, 1986.Google Scholar
  6. 6.
    P. Narasimhan and R.D. Yates, “A New Protocol for the Integration of Voice and Data over PRMA”, in Proc. of PIMRC, 1995.Google Scholar
  7. 7.
    M. Ajmone Marsan, S. Marano, C. Mastroianni and M. Meo, “Performance Analysis of Cellular Mobile Communication Networks Supporting Multimedia Services”, in Proceedings of MASCOTS'98, Montreal, Canada, July 19–24, 1998.Google Scholar
  8. 8.
    F.J. Jaimes, D. Munoz Rodriguez, C. Molina and H. Tawfik, “Modeling Resource Management in Cellular Systems Using Petri Nets”, IEEE Transaction on Vehicular Technology, Vol. VT-46, No.2, 1997.Google Scholar
  9. 9.
    S. Greiner, G. Bolch and K. Begain, “A Generalized Analysis Technique for Queuing Networks with Mixed Priority Strategy and Class Switching”, Computer Communications, Vol. 21, pp. 819–832, 1998.Google Scholar
  10. 10.
    K. Begain, G. Bolch and H. Herold, “Analytical Model of Cellular Mobile Networks with Adaptive Data Connections”, in ESM'98, Manchester, U.K., 1998, SCS International.Google Scholar
  11. 11.
    S. Tekinay, “An Effective Prioritization Scheme for Handovers in Cellular Networks”, in Proceeding of ICUPC'92, 1992, pp. 264–268.Google Scholar
  12. 12.
    G. Bolch and H. Herold, “MOSEL: Modeling, Specification, and Evaluation Language”, Technical Report TR-i4-95-02, University of Erlangen-Nürnberg, 1996.Google Scholar
  13. 13.
    G. Ciardo, R. Fricks, J.K. Muppala and K. Trivedi, “Manual for the SPNP Package Version 4.0”, Duke University, Durham, NC, U.S.A., 1994.Google Scholar
  14. 14.
    G. Bolch, S. Greiner, H. Jung and R. Zimmer, “The Markov Analyzer MOSES”, Technical Report TR-i4-10-94, University of Erlangen-Nürnberg, 1994.Google Scholar
  15. 15.
    M. Krischnick, “PEPSY-QNS”, Technical Report TR-i4-18-94, University of Erlangen-Nürnberg, 1994.Google Scholar
  16. 16.
    R.A. Sahner, K. Trivedi and A. Puliafito, Performance and Reliability Analysis of Computer Systems, an Example Based Approach Using the SHARPE Software Package, Kluwer, 1996.Google Scholar
  17. 17.
    R. Syski, Introduction to Congestion Theory in Telephone Systems, 2nd Edtion, North-Holland, 1986.Google Scholar
  18. 18.
    B. Walke, “ETSI Project: Broadband Radio Access Networks”, Broadband Communications'98, Tutorial, Stuttgart, Germany, April 1998.Google Scholar

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Khalid Begain
    • 1
  • Gunter Bolch
    • 2
  • Miklós Telek
    • 3
  1. 1.Department of Computer ScienceMu'tah UniversityMu'tahJordan
  2. 2.Department of Computer Science IVUniversity of Erlangen-NürnbergErlangenGermany
  3. 3.Department of TelecommunicationsTechnical University of BudapestBudapestHungary

Personalised recommendations