• DocumentCode
    937322
  • Title

    A Novel Two-Step Channel-Prediction Technique for Supporting Adaptive Transmission in OFDM/FDD System

  • Author

    Heo, Joo ; Wang, YuPeng ; Chang, KyungHi

  • Author_Institution
    Inha Univ., Incheon
  • Volume
    57
  • Issue
    1
  • fYear
    2008
  • Firstpage
    188
  • Lastpage
    193
  • Abstract
    This paper introduces a novel channel-prediction technique for an orthogonal frequency-division multiplexing (OFDM)/frequency-division duplex (FDD) system to support an adaptive-modulation and coding (AMC) scheme over a rapidly time-varying multipath fading channel. Most channel-prediction techniques assume that there is no channel variation in the predefined time duration, e.g. the slot. As a result, those techniques cannot compensate for the degradation of packet-error-rate (PER) performance, resulting from the rapid channel variation over the slot duration. In this paper, we propose a novel two-step channel-prediction technique that considers the time-varying nature of a channel over the duration of interest. Simulation results show that the AMC scheme of the OFDM/FDD system utilizing the proposed channel-prediction technique can guarantee the target PER of 1% without any loss of system throughput compared with a case supported by a conventional channel prediction under ITU-R Veh A 30 km/h.
  • Keywords
    OFDM modulation; adaptive modulation; channel coding; channel estimation; fading channels; multipath channels; time-varying channels; OFDM/FDD system; PER performance; adaptive transmission; adaptive-modulation and coding scheme; channel-prediction technique; frequency-division duplex system; orthogonal frequency-division multiplexing system; packet-error-rate performance; time-varying multipath fading channel; Adaptive Modulation and Coding; Adaptive modulation and coding (AMC); Channel Prediction; OFDM/FDD; channel prediction; orthogonal frequency-division multiplexing (OFDM)/frequency-division duplex (FDD);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2007.905403
  • Filename
    4357215