• DocumentCode
    1325132
  • Title

    Convergence of the Complex Envelope of Bandlimited OFDM Signals

  • Author

    Wei, Shuangqing ; Goeckel, Dennis L. ; Kelly, Patrick A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
  • Volume
    56
  • Issue
    10
  • fYear
    2010
  • Firstpage
    4893
  • Lastpage
    4904
  • Abstract
    Orthogonal frequency division multiplexing (OFDM) systems have been used extensively in wireless communications in recent years; thus, there is significant interest in analyzing the properties of the transmitted signal in such systems. In particular, a large amount of work has focused on analyzing the variation of the complex envelope of the transmitted signal and on designing methods to minimize this variation. In this paper, it is established that the complex envelope of a bandlimited uncoded OFDM signal converges weakly to a Gaussian random process as the number of subcarriers goes to infinity. This shows that the properties of the OFDM signal will asymptotically approach those of a Gaussian random process over any finite time interval. The convergence proof is then extended to two important cases, namely, coded OFDM systems and systems with an unequal power allocation across subcarriers.
  • Keywords
    Gaussian processes; OFDM modulation; Gaussian random process; OFDM systems; bandlimited OFDM signals; orthogonal frequency division multiplexing; power allocation; transmitted signal; Baseband; Convergence; Encoding; Error correction; OFDM; Random processes; Wireless communication; Convergence; Gaussian random process; extreme value theory; orthogonal frequency division multiplexing (OFDM); peak-to-mean envelope power ratio;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2059550
  • Filename
    5571917