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System Capacity Design Based on Communication Quality for Cellular CDMA Systems

  • Yoshihiro Ishikawa
  • Narumi Umeda

Abstract

In code division multiple access (CDMA) systems, call admission control (CAC) plays a very important role because it directly controls the number of users. CAC must be designed to guarantee a grade of service (GoS) the blocking rate, and quality of service (QoS) the loss probability for communication quality. However, there still exists difficulties in clarifying how the CAC thresholds control these GoS and QoS based on the relationship that exists between them and how to set effective CAC thresholds. This paper presents a design method for the CDMA reverse link capacity that guarantees the levels in both of these GoS and QoS. Theoretical expressions for these GoS and QoS levels are first derived, then a design method using these expressions is presented. At that time, two strategies for CAC are assumed: one is based on the number of users, and the other is based on the interference level. Computer simulation results are presented, which strongly support the proposed design method. In addition, numerical examples for various propagation parameters and a performance comparison between the two strategies are shown.

Keywords

Mobile Station Code Division Multiple Access Loss Probability System Capacity Call Admission Control 
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.

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References

  1. 1.
    K. S. Gilhousen et al., On the capacity of a cellular CDMA system, IEEE Trans. Vehic. Technol., Vol. 40, No. 2, pp. 303–312, May 1991.CrossRefGoogle Scholar
  2. 2.
    A. M. Viterbi et al., Erlang capacity of a power controlled CDMA system, IEEE J. Select. Areas Commun., Vol. 11, No. 6, pp. 892–900, Aug. 1993.CrossRefGoogle Scholar
  3. 3.
    Z. Liu et al., SIR-based call admission control for DS-CDMA cellular systems, IEEE J. Select. Areas. Commun., Vol. 12, No. 4, pp. 638–644, May 1994.Google Scholar
  4. 4.
    B. Lavery et al., On the teletraffic characterization of cellular CDMA systems, Proc. IEEE Vehic. Technol. Conf., VTC-93, pp. 416–419, 1993.Google Scholar
  5. 5.
    For example, L. Kleinrock, Queuing Systems, A Wiley-Interscience Publication, 1975.Google Scholar
  6. 6.
    H. Akaike, Information theory and an extension of the maximum likelihood principle, in B. N. Petrov and F. Csaki (Eds.), 2n d International Symposium on Information Theory ( Akademiai Kiado, Budapest, 1973 ) pp. 267–281.Google Scholar
  7. 7.
    F. D. Priscoli, fixed and adaptive blocking thresholds in CDMA cellular networks, Proc. IEEE Vehic. Technol. Conf, VTC-95, pp. 1090–1094, 1995.Google Scholar
  8. 8.
    N. B. Mandayam et al., Performance and capacity of a voice/data CDMA system with variable bit rate sources, MoMuC-2, 1995.Google Scholar
  9. 9.
    P. T. Brady, A study of on-off patterns in 16 conversational speech, Bell Syst. Tech. J., Vol. 47, pp. 73–91, Jan. 1968.Google Scholar
  10. 10.
    H. Eriksson, Capacity improvement by adaptive channel allocation, GLOBECOM, pp. 13551359, 1988.Google Scholar
  11. 11.
    A. Baier et al., Design study for a CDMA-based third-generation mobile radio system, IEEE J. Select. Areas Commun., Vol. 12, No. 4, pp. 733–743, May 1994.CrossRefGoogle Scholar
  12. 12.
    K. Ohno et al., “ Wideband coherent DS-CDMA,” Proc. IEEE Vehic. Technol. Conf, pp. 779–783, July 1993.Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Yoshihiro Ishikawa
    • 1
  • Narumi Umeda
    • 1
  1. 1.NTT Mobile Communications Network IncYokosuka-shi, Kanagawa 239Japan

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