• DocumentCode
    3417511
  • Title

    Distribution of envelope power using selected mapping in OFDM systems with nonlinearity

  • Author

    Bae, Kitaek ; Powers, Edward J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    3065
  • Lastpage
    3068
  • Abstract
    Selected mapping (SLM) techniques have been used to reduce the high peak-to-average power ratio (PAR) in orthogonal frequency division multiplexing (OFDM) systems. The capacity of PAR reduction can be increased by improving the PAR statistics at the cost of complexity of the OFDM transmitter. However, it is difficult to clarify the performance degradation in the presence of nonlinearities, such as a power amplifier (PA), with the PAR metric because the statistical distribution of PAR focuses only on the highest peak, even though PAR reduction can help to reduce the required PA backoff. The nonlinear distortion is related to the amount of signal greater than the saturated threshold value; therefore, it is desirable to know the envelope power distribution. In this paper, we derive a closed form expression for the envelope power distribution in SLM/OFDM systems with nonlinearity, and verify the derived expression with simulation results.
  • Keywords
    OFDM modulation; nonlinear distortion; statistical analysis; OFDM systems; PAR reduction; envelope power distribution; nonlinear distortion; orthogonal frequency division multiplexing; peak-to-average power ratio reduction; selected mapping techniques; statistical distribution; Costs; Degradation; Distributed amplifiers; High power amplifiers; Nonlinear distortion; OFDM; Peak to average power ratio; Power distribution; Statistical distributions; Transmitters; Orthogonal frequency division multiplexing (OFDM); envelope power; nonlinearity; peak-to-average ratio (PAR); selected mapping (SLM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518297
  • Filename
    4518297