Connection Admission Control for MC-CDMA Systems Supporting Multi-Rate Services

  • Xuemin Shen
  • Jon W. Mark
  • Dongmei Zhao
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 712)


Connection admission control (CAC) for wireless multi-code CDMA (MC-CDMA) systems supporting multi-rate services is investigated under perfect and imperfect power control, respectively. The CAC scheme guarantees that the required quality-of-service (QoS) performance can be satisfied during the entire lifetime of a connection once it is admitted. Connection level grade of service (GOS), in terms of connection blocking probability (CBP) and resource utilization, is derived. Simulation results show that: (1) Compared with perfect power control, imperfect power control increases the required level of received power in order to achieve the same QoS and reduces the system resource utilization; (2) The proposed CAC scheme is more desirable when the required resources among the traffic classes are significantly different.


Power Control Mobile Station Outage Probability Connection Request CDMA System 
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]
    S. V. Hanly, “An algorithm for combined cell-site selection and power control to maximize cellular spread spectrum capacity”, IEEE Journal on Selected Areas in Communications, vol. 13, pp. 1332–1340, Sept. 1995.CrossRefGoogle Scholar
  2. [2]
    L. C. Yun and D. G. Messerschmitt, “Power control for variable QoS on a CDMA channel”, in Proc. IEEE MILCOM’94, Fort Mon-mouth, NJ, Oct. 1994, vol. 1, pp. 178–182.Google Scholar
  3. [3]
    S. Yao and E. Geraniotis, “Optimal power control law for multimedia multi-rate CDMA systems”, in Proc. IEEE VTC’96, 1996, pp. 392–396.Google Scholar
  4. [4]
    M. G. Jansen and R. Prasad, “Capacity, Throughput, and delay analysis of a cellular DS CDMA system with imperfect power control and imperfect sectorization”, IEEE Trans. Veh. Technol., vol. 44, no. 1, pp. 67–75, Feb. 1995.CrossRefGoogle Scholar
  5. [5]
    G. E. Corazza, G. D. Maio, and F. Vatalaro, “CDMA cellular systems performance with fading, shadowing, and imperfect power control”, IEEE Trans. Veh. Technol., vol. 47, no. 2, pp. 450–459, May 1998.CrossRefGoogle Scholar
  6. [6]
    D. Ayyagari and A. Ephremides, “Cellular multocode CDMA capacity for integrated (voice and data) services”, IEEE J. Select. Areas Commun., vol. 17, no. 5, pp. 928–936, May 1999.CrossRefGoogle Scholar
  7. [7]
    R. Cameron and B. Woerner, “Performance analysis of CDMA with imperfect power control”, IEEE Trans. Commun., vol. 44, no. 7, pp. 777–781, Jul. 1996.CrossRefGoogle Scholar
  8. [8]
    F. D. Priscoli and F. Sestini, “Effects of imperfect power control and user mobility on a CDMA cellular network”, IEEE J. Select. Areas Commun., vol. 14, pp. 1809–1817, Dec. 1996.CrossRefGoogle Scholar
  9. [9]
    W.-M. Tam and F. C. M. Lau, “Analysis of power control and its imperfections in CDMA cellular systems”, IEEE Trans. Veh. Technol., vol. 48, no. 5, pp. 1706–1717, Sept. 1999.CrossRefGoogle Scholar
  10. [10]
    A. M. Viterbi and A. J. Viterbi, “Erlang capacity of a powercontrolled CDMA system”, IEEE J. on Select. Areas in Commun., vol. 12, no. 4, pp. 892–900, May 1994.Google Scholar
  11. [11]
    D. Zhao, X. Shen, and J. W. Mark, “Radio resource management for uplink channel in cellular WCDMA systems supporting heterogeneous services”, in Proc. IEEE 3g’wireless Communication Conference, Silicon Valley, CA, U.S.A, May-Jun. 2001, pp. 210–215.Google Scholar
  12. [12]
    C. W. Sung and W. S. Wong, “Power control and rate management for wireless multimedia CDMA systems”, IEEE Trans. Commun., vol. 49, no. 7, pp. 1215–1226, Jul. 2001.MATHCrossRefGoogle Scholar
  13. [13]
    C-L. I and R. D. Gitlin, “Multi-code CDMA wireless personal communications networks”, in Proc. ICC’95, Seattle, U.S.A., 1995, pp. 1060–1064.Google Scholar
  14. [14]
    A. J. Viterbi, A. M. Viterbi, and E. Zehavi, “Performance of powercontrolled wideband terrestrial digital communication”, IEEE Trans. on Commun., vol. 41, no.4, pp.559–569, Apr. 1993.MATHCrossRefGoogle Scholar
  15. [15]
    A. J. Viterbi, Principles of Spread Spectrum Communication, Addison-Wesley Publishing Company, 1995.MATHGoogle Scholar
  16. [16]
    S. C. Schwartz and Y. S. Yeh, “On the distribution function and moments of power sums with log-normal components”, The Bell Syst. Tech. J., vol. 61, no. 7, pp. 1441–1462, Sept. 1982.MATHGoogle Scholar
  17. [17]
    A. Safak, “Statistical analysis of the power sum of multiple correlated log-normal components”, IEEE Trans. on Veh. Technol., vol. 42, no. 1, pp. 58–61, Feb. 1993.CrossRefGoogle Scholar
  18. [18]
    F. Kelly, “Loss networks”, The Annals of Applied Probability, vol. 1, pp. 319–378, 1991.MathSciNetMATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Xuemin Shen
    • 1
  • Jon W. Mark
    • 1
  • Dongmei Zhao
    • 1
  1. 1.Wireless Communications Department of Electrical and Computer EngineeringUniversity of WaterlooWaterlooCanada

Personalised recommendations