• DocumentCode
    1719548
  • Title

    Time variant channel estimation using a modified complex exponential basis expansion model in LTE-OFDM systems

  • Author

    Idrees, N.M. ; Haselmayr, W. ; Schellander, D. ; Springer, A.

  • Author_Institution
    Inst. for Commun. Eng. & RF-Syst., Johannes Kepler Univ. Linz, Linz, Austria
  • fYear
    2010
  • Firstpage
    603
  • Lastpage
    607
  • Abstract
    In future wireless communication systems like LTE, wide bandwidths for the transmission of high data rates result in frequency selective mobile radio channels. If data transmission takes place at high mobile speeds the mobile radio channel becomes also time selective. In this paper we propose for the estimation of such double selective channels a modification to the well known complex exponential basis expansion model, which is based on the assumed knowledge of the maximum Doppler frequency at the mobile user. We are able to reduce the estimation error by an order of magnitude up to very high mobile speeds for the OFDMA-based LTE downlink.
  • Keywords
    Long Term Evolution; OFDM modulation; channel estimation; frequency division multiple access; OFDMA-based LTE downlink; data transmission; double selective channels; frequency selective mobile radio channels; long term evolution; maximum Doppler frequency; mobile user; modified complex exponential basis expansion model; time variant channel estimation; wireless communication systems; Channel estimation; Doppler effect; Estimation; Frequency estimation; Mobile communication; OFDM; Time frequency analysis; Channel estimation; basis expansion model (BEM); double selective channel; long term evolution (LTE); orthogonal frequency division multiplexing (OFDM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
  • Conference_Location
    Instanbul
  • Print_ISBN
    978-1-4244-8017-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2010.5671762
  • Filename
    5671762