QoS Based Predictive Admission Control for Multi-Media Traffic

  • Bracha Epstein
  • Mischa Schwartz


In this work, we develop a distributed predictive admission control algorithm which provides appropriate throughput to the system while maintaining a fixed call dropping probability defined by the user. This algorithm is then extended to include multi-media traffic where the QoS criteria are the respective call dropping probabilities of the different traffic classes. The traffic classes are completely defined in terms of their individual call service time, handoff, and bandwidth parameters. This work is based on simple Markov analysis and traffic prediction. Using this algorithm, it is possible to combine any number of traffic classes in a network flexibly while maintaining the unique QoS criterion of each class. For the sake of simplicity, the algorithm is developed for a single dimensional wireless network. However, we show how it may be easily extended to multi-dimensional wireless networks.


Admission Control Call Admission Control Traffic Class Call Handoff Admission Control Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    B. Epstein and M. Schwartz. Reservation strategies for multi-media traffic in a wireless environment. In 1995 IEEE 45th Vehicular Technology Conference, pages 165–169, July 1995.Google Scholar
  2. 2.
    J. Li, N. Shroff, and E. Chong. A new channel allocation scheme for cellular networks. Wireless Networks, July 1997. submitted.Google Scholar
  3. 3.
    M. Naghshineh and M. Schwartz. Distributed call admission control in mobile/wireless networks. IEEE Journal on Selected Areas in Communications, May 1996.Google Scholar
  4. 4.
    D. Levine, I. Akyildiz, and M. Naghshineh. A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept. IEEE/ACM Transactions on Networking, pages 1–12, February 1997.Google Scholar
  5. 5.
    A. Sutivong and J. Peha. Call admission control algorithms for cellular systems: proposal and comparison. In Globecom, 1997. accepted.Google Scholar
  6. 6.
    R. Howard. Dynamic Probabilistic Systems, Volume 1: Markov Models. John Wiley and Sons, 1971.Google Scholar

Copyright information

© Springer-Verlag London Limited 1998

Authors and Affiliations

  • Bracha Epstein
    • 1
  • Mischa Schwartz
    • 1
  1. 1.Center for Telecommunications ResearchColumbia UniversityUSA

Personalised recommendations