• DocumentCode
    2492467
  • Title

    Joint constellation extension and tone reservation for PAPR reduction in adaptive OFDM systems

  • Author

    Petermann, Mark ; Wübben, Dirk ; Kammeyer, Karl-Dirk

  • Author_Institution
    Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany
  • fYear
    2009
  • fDate
    21-24 June 2009
  • Firstpage
    439
  • Lastpage
    443
  • Abstract
    One major drawback of Orthogonal Frequency Division Multiplexing (OFDM) is the large peak-to-average power-ratio (PAPR), which significantly degrades the power efficiency. In order to prevent nonlinear distortions the PAPR needs to be minimized to guarantee a linear dynamic range of the high power amplifier. Therefore, various reduction algorithms have been proposed. However, they do not include link adaptation requirements. Previous results show that bit and power loading algorithms in adaptive OFDM systems fail to meet the target error rate requirements if large time-domain peaks occur. Hence, in this paper a joint utilization of extended constellation alphabets of active subcarriers and tone reservation for peak power reduction in adaptive OFDM systems is derived. The resulting linear programming (LP) problem can be efficiently solved and the solution is lossless in terms of throughput. Furthermore, a sub-optimal algorithm, which achieves great PAPR reduction with lower complexity, is proposed while link adaptation is employed.
  • Keywords
    OFDM modulation; error statistics; PAPR reduction; adaptive OFDM systems; joint constellation extension; linear dynamic range; link adaptation; tone reservation; Adaptive systems; Degradation; Dynamic range; Error analysis; High power amplifiers; Linear programming; Nonlinear distortion; OFDM; Peak to average power ratio; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2009. SPAWC '09. IEEE 10th Workshop on
  • Conference_Location
    Perugia
  • Print_ISBN
    978-1-4244-3695-8
  • Electronic_ISBN
    978-1-4244-3696-5
  • Type

    conf

  • DOI
    10.1109/SPAWC.2009.5161823
  • Filename
    5161823