• DocumentCode
    2506425
  • Title

    A Gradient Based Peak-to-Average Power Ratio Reduction Method

  • Author

    Baliga, Jayant ; Grant, Alex ; Woodward, Graeme ; Kind, Adriel

  • Author_Institution
    Univ. of Melbourne, Melbourne
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    3807
  • Lastpage
    3811
  • Abstract
    One promising approach to peak to average power ratio (PAPR) reduction for orthogonal frequency division multiple access (OFDMA) is the use of reserved tones, which are modulated so as to reduce the PAPR. One problem with this approach is the computationally efficient determination of reserved tone signals that best reduce the PAPR. In this paper we describe a new algorithm for selection of the reserved tone signals. The algorithm results from a differentiable approximation of the PAPR optimisation criterion. We derive a new joint minimisation method capable of reducing multiple peaks simultaneously. It is shown how this can be utilized in a low complexity gradient update algorithm. Simulations show superior performance (lower resultant PAPR) compared to other methods, where system parameters have been motivated by the proposed long term evolution of the 3GPP cellular standard.
  • Keywords
    MIMO communication; OFDM modulation; covariance matrices; gradient methods; minimisation; wireless channels; 3GPP cellular standard; complexity gradient update algorithm; differentiable approximation; gradient based peak-to-average power ratio; joint minimisation method; orthogonal frequency division multiple access; power ratio reduction method; reserved tone signals; Approximation algorithms; Frequency conversion; Large scale integration; Long Term Evolution; OFDM; Peak to average power ratio; Power amplifiers; Power engineering and energy; Time domain analysis; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Electronic_ISBN
    978-1-4244-1043-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.723
  • Filename
    4411633