• DocumentCode
    913199
  • Title

    On importance sampling in digital communications. I. Fundamentals

  • Author

    Chen, Jyun-Cheng ; Lu, Dingqing ; Sadowsky, John S. ; Yao, Kung

  • Author_Institution
    Ericsson GE Mobile Commun. Inc., Research Triangle Park, NC, USA
  • Volume
    11
  • Issue
    3
  • fYear
    1993
  • fDate
    4/1/1993 12:00:00 AM
  • Firstpage
    289
  • Lastpage
    299
  • Abstract
    A simulation algorithm design strategy based on the combination of event simulation, conditional importance sampling, and asymptotically optimal biasing of Gaussian noise inputs is discussed. The utility of this approach is illustrated by presenting numerical results for a satellite channel model that includes uplink and downlink noise sources, a travelling-wave tube amplifier (TWTA) nonlinearity, and intersymbol interference (ISI) from both uplink and downlink filtering. An overview and comparison of various simulation design strategies and some results on the optimization of general mean translation and variance scaling biasing schemes for nonlinear systems are presented
  • Keywords
    digital communication systems; intersymbol interference; satellite links; telecommunication channels; telecommunications computing; Gaussian noise inputs; ISI; TWTA nonlinearity; asymptotically optimal biasing; digital communications; downlink noise sources; event simulation; filtering; general mean translation; importance sampling; intersymbol interference; nonlinear systems; numerical results; satellite channel model; simulation algorithm design strategy; travelling-wave tube amplifier; uplink noise sources; variance scaling biasing schemes; Algorithm design and analysis; Design optimization; Digital communication; Discrete event simulation; Downlink; Filtering; Gaussian noise; Intersymbol interference; Monte Carlo methods; Satellites;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.219542
  • Filename
    219542