• DocumentCode
    2655059
  • Title

    Channel Quality Indicator Estimation for OFDMA Systems in the Downlink

  • Author

    Mourad, Abdel-majid ; Brunel, Loïc ; Okazaki, Akihiro ; Salim, Umer

  • Author_Institution
    Inf. Technol. Centre Eur. B. V., Mitsubishi Electr., Rennes
  • fYear
    2007
  • fDate
    22-25 April 2007
  • Firstpage
    1771
  • Lastpage
    1775
  • Abstract
    This paper investigates the problem of channel quality indicator (CQI) estimation in the context of OFDMA systems in the downlink. The problem of CQI estimation is addressed for SINR-based CQI forms. In this paper, we present a technique for instantaneous SINR estimation which consists in using the channel estimator already present at the receiver to obtain the useful signal levels and signal regeneration (SR) estimator to get the level of interference plus noise. We show that SR estimator has an error floor caused by channel estimation errors, and then we introduce a compensation factor rho in order to remove this error floor. The compensation factor rho is defined as the ratio between the variance of channel estimation errors and the level of interference plus noise at the input of the channel estimator. Thanks to the compensation factor rho we achieve a gain of about 1 dB in term of RMSE for CQI estimation over a wide range of CQI values.
  • Keywords
    channel estimation; frequency division multiple access; radio links; OFDMA systems; RMSE; SINR-based CQI forms; channel quality indicator estimation; interference plus noise; signal regeneration estimator; Channel estimation; Downlink; Error probability; Estimation error; Information technology; Interference; Noise level; Resource management; Signal to noise ratio; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th
  • Conference_Location
    Dublin
  • ISSN
    1550-2252
  • Print_ISBN
    1-4244-0266-2
  • Type

    conf

  • DOI
    10.1109/VETECS.2007.368
  • Filename
    4212796