• DocumentCode
    1789835
  • Title

    Optimum designs for high mobility systems with channel estimation errors

  • Author

    Ning Sun ; Jingxian Wu

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Arkansas, Fayetteville, AR, USA
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    5072
  • Lastpage
    5077
  • Abstract
    This paper studies the optimum system designs of high mobility wireless communication systems with channel estimation errors. In high mobility systems, the accurate estimation and tracking of the fast time-varying fading channel is nontrivial, and the residual channel estimation errors might have significant impacts on the system performance. The impacts of channel estimation error on system performance are quantified through the development of the analytical symbol error rate (SER) by analyzing the statistical properties of the estimated channel coefficients. With the help of the asymptotic analysis of the channel estimation mean squared error, the SER is expressed as an explicit function of a number of system parameters, such as the maximum Doppler frequency, the percentage of pilots in the transmitted symbols, and the ratio of energy allocated between data symbols and pilot symbols. The optimum pilot percentage and energy allocation factor that minimize the SER are identified through analytical and numerical studies.
  • Keywords
    Doppler shift; channel estimation; fading channels; least mean squares methods; statistical analysis; time-varying channels; SER; analytical symbol error rate; asymptotic analysis; channel estimation mean squared error; data symbols; energy allocation factor; estimated channel coefficients; explicit function; fast time-varying fading channel; high mobility systems; high mobility wireless communication systems; maximum Doppler frequency; optimum system designs; pilot symbols; residual channel estimation errors; statistical properties; system performance; transmitted symbols; Channel estimation; Doppler effect; Fading; Receivers; Resource management; Signal to noise ratio; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6884125
  • Filename
    6884125