• DocumentCode
    688016
  • Title

    New statistical studies on OFDM-QAM peak-to-mean-envelope-power ratio

  • Author

    Huang, Scott C-H ; Hsiao-Chun Wu ; Youde Wu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    3596
  • Lastpage
    3601
  • Abstract
    In this work, we study the statistical behavior of the peak-to-mean-envelope-power ratio (PMEPR) for orthogonal frequency-division multiplexing (OFDM) signals both theoretically and empirically. First, the relationship is mathematically established between the PMEPR upper-bound of OFDM-QPSK (quadrature phase-shift keying) sequences and the clipping probability for moderate sequence lengths n (i.e. n <; 100). Then, the empirical study of the PMEPR distributions is carried out to rectify the preliminary theoretical results. Finally, we theoretically prove that the analysis for OFDM-QPSK sequences can be extended to OFDM-QAM (quadrature amplitude modulation) sequences as well.
  • Keywords
    OFDM modulation; probability; quadrature amplitude modulation; quadrature phase shift keying; statistical analysis; OFDM-QAM; OFDM-QPSK; PMEPR upper-bound; clipping probability; moderate sequence lengths; orthogonal frequency division multiplexing; peak-to-mean-envelope-power ratio; quadrature amplitude modulation; quadrature phase shift keying; statistical behavior; Indexes; OFDM; Orthogonal frequency-division multiplexing (OFDM); peak-to-mean-envelope-power ratio (PMEPR); quadrature amplitude modulation (QAM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2013.6831631
  • Filename
    6831631