• DocumentCode
    1229766
  • Title

    An expert system approach for cellular CDMA

  • Author

    Ulloa, Jorge A. ; Taylor, Desmond P. ; Poehlman, W.F.S.

  • Author_Institution
    Appl. Computersyst. Group & Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
  • Volume
    44
  • Issue
    1
  • fYear
    1995
  • fDate
    2/1/1995 12:00:00 AM
  • Firstpage
    146
  • Lastpage
    154
  • Abstract
    The demand for cordless communication has forced suppliers to exploit digital technology to satisfy the increasing demand for service. This demand has led to severe capacity limitations in many areas and spread spectrum techniques are being considered as one means to support these services. It is generally accepted that system control in the future will make use of intelligent processors. In this study we delineate an expert system to be used as an intelligent controller for a cell site working in a CDMA (Code Division Multiple Access) mobile cellular telecommunications system. An existing AI shell is used for program development and simulation and the results are discussed in terms of the benefits obtained by using an expert system approach in the highly dynamic environment of cellular mobile communications
  • Keywords
    cellular radio; code division multiple access; digital simulation; expert systems; software engineering; spread spectrum communication; telecommunication computing; AI shell; cellular CDMA; code division multiple access; cordless communication; digital technology; expert system; intelligent processors; mobile cellular telecommunications system; program development; simulation; spread spectrum techniques; system control; Communication system control; Control systems; Expert systems; Frequency division multiaccess; Interference; Mobile communication; Multiaccess communication; Spread spectrum communication; Telecommunication control; Time division multiple access;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/25.350280
  • Filename
    350280