• DocumentCode
    1881140
  • Title

    Improved transmitter power control schemes for fading channel compensation

  • Author

    Lin, ChingShun ; Chen, ShanCheng

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2012
  • fDate
    12-15 Aug. 2012
  • Firstpage
    569
  • Lastpage
    572
  • Abstract
    The purpose of this paper is to design a compensator that can adaptively change the power of the transmitter to reduce the transmitting error owing to the fading effect. This compensator is based on the technique of linear prediction filter (LPF). Owing to the magnitude of the fading coefficient might be close to zero, the receiver performance will be poor without any fade compensation at the transmitter. In this study, we use LPF and the delayed channel fade data to predict the following fading strength. Therefore the transmitted signals can be enhanced previously with a finite power, which in turn results in the raise the transmitting precision. We have implemented and compared different factors of the unbiased, biased, and least-mean-square based estimators. Several experimental results and detailed discussions are also provided to verify the characteristics of the proposal system.
  • Keywords
    compensation; fading channels; least mean squares methods; power control; radio transmitters; telecommunication control; delayed channel fade data; fade compensation; fading channel compensation; fading coefficient; fading effect; fading strength; least-mean-square based estimators; linear prediction filter; receiver performance; transmitted signals; transmitter power control schemes; transmitting error; transmitting precision; Bit error rate; Correlation; Estimation; Fading; Indexes; Least squares approximation; Transmitters; Adaptive filtering; Fading channel modeling; Power control scheme; Resource management; Signal estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2192-1
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2012.6335604
  • Filename
    6335604