Cell Assignability on Random Paths in CDMA Networks

  • Alexe Leu
  • Bijan Jabbari


As mobiles move along a trajectory in a wireless cellular network, they select base stations out of a list of eligible cells which can provide the required radio link quality. We partition the space of the processed signal strength into two complementary regions in which the cells are assignable or unassignable to a mobile. By using this approach, we develop an approximate model to assign the identified base stations to mobiles in CDMA cellular systems. In particular, we show the effect of the drop timer parameter of the soft handoff algorithm on the control traffic overhead of the IS-95 like system.


Outage Probability Receive Signal Strength Wireless Cellular Network Soft Handoff Signal Strength Measurement 
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  1. [1]
    A.J. Viterbi, A.M. Viterbi, K.S. Gilhousen, E. Zehavi, “Soft Handoff Extends CDMA Cell Coverage and Increase Reverse Link Capacity,” IEEE JSAC, vol. 12, No. 8, pp. 1281–1287, Oct. 1994.Google Scholar
  2. [2]
    A. Leu, B. Jabbari, “On Modeling and Analysis of Cell Selection in Wireless Cellular Networks,” Proc. of the MMT’98 Workshop, pp. 187–202, Oct. 1998.Google Scholar
  3. [3]
    R. Vijayan, J.M. Holtzman, “A Model for Analyzing Handoff Algorithms,” IEEE Trans. on Veh. Tech., vol. VT-42, no. 3, pp. 351–356, Aug. 1993.CrossRefGoogle Scholar
  4. [4]
    N. Zhang, J.M. Holtzman, “Analysis of Handoff Algorithms Using Both Absolute and Relative Measurements,” IEEE Trans. on Veh. Tech., vol. VT-45, no. 1, pp. 174–179, Feb. 1996.CrossRefGoogle Scholar
  5. [5]
    N. Zhang, J.M. Holtzman, “Analysis of a CDMA Soft Handoff Algorithm,” IEEE Trans. on Veh. Tech., vol. VT-47, no. 2, pp. 710–714, May 1998.CrossRefGoogle Scholar
  6. [6]
    M. Gudmundson, “Correlation Model for Shadowing Fading in Mobile Radio Systems”, Electron. Letters, vol. 27, no. 23, pp. 2145–2146, Nov. 1991.CrossRefGoogle Scholar
  7. [7]
    K.G. Cornett and S.B. Wicker, “Bit Error Rate Estimation Techniques for Digital Land Mobile Radios,” 1991 IEEE Veh. Tech. Conf.,pp. 543–548.Google Scholar
  8. [8]
    W.R. Mende, “Evaluation of a Proposed Handover Algorithm for the GSM Cellular System,” 1990 IEEE Veh. Tech. Conf.,pp. 264–269.Google Scholar
  9. [9]
    A. Murase, I.C. Symington, and E Green, “Handover Criterion for Macro and Micro-cellular Systems,” 1991 IEEE Veh. Tech. Conf.,pp. 524–530.Google Scholar
  10. [10]
    O. Grimlund and B. Gudmundson, “Handoff Strategies in Microcellular Systems,” 1991 IEEE Veh. Tech. Conf.,pp 505–510.Google Scholar
  11. [11]
    M. Gudmundson, “Analysis of Handoff Algorithms,” 1991 IEEE Veh. Tech. Conf.,pp. 537–542Google Scholar
  12. [12]
    N.B. Mandayam, P. Chen and J.M. Holtzman, “Minimum Duration Outage for CDMA Cellular Systems: A Level Crossing Analysis,” Proc. IEEE Veh. Tech. Conf., Atlanta, April 1996.Google Scholar
  13. [13]
    A. Papoulis, Probability, Random Variables, and Stochastic Processes, New York: McGraw Hill, 1991.Google Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Alexe Leu
    • 1
  • Bijan Jabbari
    • 1
  1. 1.George Mason UniversityFairfaxUSA

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