Skip to main content
SpringerLink
Log in

Microcellular handoff using fuzzy techniques

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

In order to manage the high call density expected in future cellular systems, microcell must be used. The size of the microcell will cause a dramatic increase in the number of handoffs. In addition, the small size of the microcell will require handoff algorithms to respond faster than those in today’s systems. The problems are further exacerbated by the corner effect phenomenon which causes the signal level to drop by 20–30 dB in 10–20 m. Thus, in order to maintain reliable communication in a microcellular system new and better handoff algorithms must be developed. The use of hysteresis and averaging window in classical handoff techniques reduces unnecessary handoffs, but causes delays which may result in the calls being dropped. A fuzzy based handoff algorithm is proposed in this paper as a solution to this problem. The performance of fuzzy based handoff algorithm was also compared to that obtained using the classical handoff algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. N. Amitay, Modeling and computer simulation of wave propagation in lineal line-of-sight microcells, IEEE Transactionson Vehicular Technology 41(4) (November 1992) 337–342.

    Google Scholar 

  2. R. Beck and H. Panzer, Strategies for handover and dynamicchannel allocation in microcellular mobile radio systems, in: Proc. IEEE Vehicular Technology Conference (May 1989) pp. 178–185.

  3. D. Brubaker, Fuzzy-logic system solves control problem, EDN Magazine (June 1992) 121–127.

  4. S. Chia, The controlof handover initiation in microcells, in: Proc. IEEE Vehicular Technology Conference (May 1991) pp. 531–536.

  5. S. Chia and R. Warburton, Handover criteria for city microcellular radio systems, in: Proc. IEEE Vehicular Technology Conference (May 1990) pp. 276–281.

  6. E. Cox, Adaptive fuzzy systems, IEEE Spectrum (February 1993) 27–31.

  7. R. Dixon, Spread SpectrumSystem (Wiley, New York, 2nd ed., 1984).

    Google Scholar 

  8. G. Edwards and R. Sankar, Handoff using fuzzy logic, in: IEEE Globecom,Singapore (November 1995) pp. 520–524.

  9. ETSI - European Telecommunications Standardization Institute, GSM Recommendation05.08.

  10. O. Grimlund and B. Gudmundson, Handoff strategies in microcellular systems, in: Proc. IEEE Vehicular TechnologyConference (May 1991) pp. 505–510.

  11. M. Gudmundson, Analysis of handover algorithms, in: Proc. IEEE VehicularTechnology Conference (May 1991) pp. 537–542.

  12. J. Holtzman, Adaptive measurement intervals for handoffs, in: Proc. IEEEInternational Conference on Communications (ICC) (June 1992) pp. 1032–1036.

  13. T. Kanai et al., Experimental digital cellularsystem for microcellular handoff, in: Proc. IEEE Vehicular Technology Conference (May 1990) pp. 172–176.

  14. Y. Kinoshita and T. Itoh, Performance analysis of a new fuzzy handoff algorithm by an indoor propagation simulator, in: Proc. IEEE Vehicular Technology Conference (August 1993) pp. 241–245.

  15. W. Lee, Mobile Cellular Telecommunications Systems (McGraw-Hill, 1989).

  16. W. Mendé, Evaluation of a proposed handover algorithm for GSM cellular system, in: Proc. IEEE Vehicular Technology Conference (May 1990) pp. 264–269.

  17. D. Munoz-Rodiguez and K. Cattermole, Hand-off procedure for fuzzy defined radio cells, in: Proc.IEEE Vehicular Technology Conference (1987) pp. 38–44.

  18. A. Murase et al., Handover criterion for macro and microcellularsystems, in: Proc. IEEE Vehicular Technology Conference (May 1991) pp. 524–530.

  19. S. Rappaport, Modeling the handoffproblem in personal communications networks, in: Proc. IEEE Vehicular Technology Conference (May 1991) pp. 517–523.

  20. M. Sugeno and T. Yasukawa, A fuzzy-based approach to qualitative modeling, IEEE Transactions on Fuzzy Systems 1(1)(February 1993) 7–31.

    Google Scholar 

  21. T. Takagi and M. Seguno, Fuzzy identification of systems and its applications to modeling and control,IEEE Transactions on Systems, Man, and Cybernetics 15 (January 1985) 116–132.

    Google Scholar 

  22. S. Tekinay and B. Jabarri, Handoverand channel assignment in mobile cellular networks, IEEE Communication Magazine (November 1991) 42–46.

  23. TIA/EIA/IS-95 Interim Standard, Mobile station - base station compatibility standard for dual mode wideband spread spectrum cellular system, Telecommunication Industry Association (1993).

  24. R. Vijayan and J. Holtzman, Analysis of handoff algorithms using non-stationarysignal strength measurements, in: Proc. Globecom (December 1992) pp. 1405–1409.

  25. L. Wang, Adaptive Fuzzy Systems andControl (Prentice-Hall, Englewood Cliffs, NJ, 1994).

    Google Scholar 

  26. L. Zadeh, Fuzzy logic, IEEE Computer (April 1988) 83–93.

Download references

Author information

Authors and Affiliations

  1. Department of Engineering, University of Denver, 2390 S. York St., Denver, CO, 80208-2102, USA

    George Edwards

  2. Department of Electrical Engineering, University of South Florida, Tampa, FL, 33620, USA

    Ravi Sankar

Authors
  1. George Edwards
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ravi Sankar
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Edwards, G., Sankar, R. Microcellular handoff using fuzzy techniques. Wireless Networks 4, 401–409 (1998). https://doi.org/10.1023/A:1019133113025

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1019133113025

Keywords

Search

Navigation