Admission Control Policies in Multiservice Cellular Networks: Optimum Configuration and Sensitivity

  • David García
  • Jorge Martínez
  • Vicent Pla
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3427)


We evaluate different call admission control policies in various multiservice cellular scenarios. For each of the studied policies we obtain the maximum calling rate that can be offered to the system to achieve a given QoS objective defined in terms of blocking probabilities. We propose an optimization methodology based on a hill climbing algorithm to find the optimum configuration for most policies. The results show that policies of the trunk reservation class outperform policies that produce a product-form solution and the improvement ranges approximately between 5 and 15% in the scenarios studied.


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  1. 1.
    Ramjee, R., Nagarajan, R., Towsley, D.: On Optimal Call Admission Control in Cellular Networks. ACM/Baltzer Wireless Networks Journal 3(1), 29–41 (1997)CrossRefGoogle Scholar
  2. 2.
    Altman, E., Jimenez, T., Koole, G.: On optimal call admission control in resource-sharing system. IEEE Transactions on Communications 49(9), 1659–1668 (2001)zbMATHCrossRefGoogle Scholar
  3. 3.
    Iversen, V.B.: The Exact Evaluation of Multi-Service Loss Systems with Access Control. In: Proceedings of the Seventh Nordic Teletraffic Seminar (NTS-7), Lund, Sweden (August 1987)Google Scholar
  4. 4.
    Lea, C.-T., Alyatama, A.: Bandwidth Quantization and States Reduction in the Broadband ISDN. IEEE/ACM Trans. on Networking 3(3), 352–360 (1995)CrossRefGoogle Scholar
  5. 5.
    Choudhury, G.L., Leung, K.K., Whitt, W.: Efficiently Providing Multiple Grades of Service with Protection Against Overloads in Shared Resources. AT&T Technical Journal 74(4), 50–63 (1995)MathSciNetGoogle Scholar
  6. 6.
    Li, B., Lin, C., Chanson, S.T.: Analysis of a hybrid cutoff priority scheme for multiple classes of traffic in multimedia wireless networks. ACM/Baltzer Wireless Networks Journal 4(4), 279–290 (1998)CrossRefGoogle Scholar
  7. 7.
    Heredia-Ureta, H., Cruz-Pérez, F.A., Ortigoza-Guerrero, L.: Multiple fractional channel reservation for optimum system capacity in multi-service cellular networks. Electronic Letters 39, 133–134 (2003)CrossRefGoogle Scholar
  8. 8.
    Heredia-Ureta, H., Cruz-Pérez, F.A., Ortigoza-Guerrero, L.: Capacity optimization in multiservice mobile wireless networks with multiple fractional channel reservation. IEEE Transactions on Vehicular Technology 52(6), 1519–1539 (2003)CrossRefGoogle Scholar
  9. 9.
    Pla, V., Casares-Giner, V.: Optimal Admission Control Policies in Multiservice Cellular Networks. In: Proceedings of the International Network Optimization Conference (INOC 2003), Paris, France (October 2003)Google Scholar
  10. 10.
    Ross, S.M.: Applied Probability Models with Optimization Applications. Holden-Day (1970)Google Scholar
  11. 11.
    Lin, Y.-B., Mohan, S., Noerpel, A.: Queueing priority channel assignment strategies for PCS hand-off and initial access. IEEE Transactions on Vehicular Technology 43(3), 704–712 (1994)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • David García
    • 1
  • Jorge Martínez
    • 1
  • Vicent Pla
    • 1
  1. 1.Universidad Politécnica de Valencia (UPV), ETSITValenciaSpain

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