Capacity of Channel Hopping Channel Stream on Cellular Digital Packet Data (CDPD)

  • Jay M. Jacobsmeyer
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 349)

Abstract

Because voice cellular radio systems must maintain low blocking probabilities, almost 20% of cellular channel capacity is unused, even during the busy hour. A packet radio system can capture this unused capacity by hopping between idle voice channels, working independently of the voice base station and the cellular telephone switch. To optimize performance, the mobile data base station should select the idle channel with the least co-channel interference. By doing so, the base station will maximize the carrier-to-interference ratio at the mobile terminal and maximize throughput when automatic repeat-request protocols are used. For example, if the offered voice traffic at a 54-channel base station is 22 Erlangs, the data base station can achieve a throughput improvement of a factor of 2 and a coverage area increase of 47%

Keywords

Azimuth Picot 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    W.C. Jakes, ed., Microwave Mobile Communications. IEEE Press Reissue, 1994.Google Scholar
  2. [2]
    V. H. MacDonald, “The cellular concept,” The Bell System Technical Journal, January 1979.Google Scholar
  3. [3]
    W.C.Y. Lee, Mobile Cellular Telecommunications Systems, New York: McGraw-Hill, 1989.Google Scholar
  4. [4]
    Cellular Digital Packet Data System Specification, Release 1.1, January 1995.Google Scholar
  5. [5]
    W.C.Y. Lee, “Data Transmission via Cellular Systems,” 43rd IEEE Vehicular Technology Conference, May 18–20, 1993, Secaucus, New Jersey.Google Scholar
  6. [6]
    N. Abramson, “The throughput of packet broadcasting channels,” IEEE Trans. Commun., pp. 117–128, Jan 1977.Google Scholar
  7. [7]
    S. M. Ross, A First Course in Probability, New York: MacMillan, 1984.MATHGoogle Scholar
  8. [8]
    D.R. Cox and W.L. Smith, Queues. London: Chapman and Hall, 1961.Google Scholar
  9. [9]
    S. Lin and D. J. Costello, Error Control Coding: Fundamentals and Applications. Prentice Hall, 1983.Google Scholar
  10. [10]
    A.A. Abu-Dayya and N.C. Beaulieu, “Outage probabilities in the presence of correlated lognormal interferers,” IEEE Transactions on Vehicular Technology, pp. 164–173, February 1994.Google Scholar
  11. [11]
    G.F. Newell, Applications of Oueueing Theory. 2d Ed., London: Chapman and Hall, 1982.Google Scholar

Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • Jay M. Jacobsmeyer
    • 1
  1. 1.Pericle Communications CompanyColorado SpringsUSA

Personalised recommendations