• DocumentCode
    3164151
  • Title

    On the distribution of instantaneous power in single carrier: Effective numerical approach

  • Author

    Gutman, Igor ; Wulich, Dov

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    2020
  • Lastpage
    2024
  • Abstract
    This paper investigates the statistical distribution of instantaneous power (IP) in pulse-shaped single-carrier (SC) modulation. Such knowledge is required due to the nonlinearity of the power amplifier (PA). Exact analytical derivation of the distribution is an open problem. The existing works rely on Monte-Carlo simulations or on an approximated numerical analysis. In this paper we propose a straightforward method, based on numerical integration, to evaluate the complementary cumulative distribution function (CCDF) of IP by using characteristic function approach. Error analysis of the proposed numerical approach is given. It is shown that by investing relatively small computation power in the proposed numerical solution we can derive the CCDF of IP with high and controlled accuracy.
  • Keywords
    Monte Carlo methods; approximation theory; error analysis; integration; modulation; power amplifiers; statistical distributions; CCDF; Monte-Carlo simulations; SC modulation; approximated numerical analysis; characteristic function approach; complementary cumulative distribution function; computation power; error analysis; exact analytical derivation; instantaneous power; numerical integration; power amplifier; pulse-shaped single-carrier modulation; single carrier; statistical distribution; Accuracy; Error analysis; IP networks; Modulation; OFDM; Silicon; Upper bound; CCDF; instantaneous power; single carrier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2011 IEEE 22nd International Symposium on
  • Conference_Location
    Toronto, ON
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-1346-0
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/PIMRC.2011.6139867
  • Filename
    6139867