• DocumentCode
    2011014
  • Title

    Notice of Retraction
    A novel wireless traffic characteristics analysis based on log-infinitely divisible cascades (LIDC)

  • Author

    Debin Zou ; Xing Zhang

  • Author_Institution
    Sch. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    According to the analysis of turbulence on the log-infinitely divisible cascades (LIDC) method, analysis GPRS network traffic of multi-scale, the actual GPRS traffic analysis on the basis of the discussions, that the flow of GPRS is suitable for the log-infinitely divisible cascades, flow data for the depth of analysis. With the use of analysis frame, we conclude that the scale of GPRS network has the trait of keeping power-law relations, single scale and scale invariability etc. Internet and traditional wireless network have different traits, so we need further research every protocol component and percentage in GPRS and these protocols under LIDC frame in order to judge and analyze data flow more correctly.
  • Keywords
    packet radio networks; probability; protocols; telecommunication traffic; GPRS network traffic; Internet; LIDC; log-infinitely divisible cascade; power-law relation; probability; protocol; scale invariability; turbulence analysis; wireless traffic characteristics analysis; Bandwidth; Circuits; Data engineering; Fractals; GSM; Ground penetrating radar; Internet; Portfolios; Telecommunication traffic; Wireless application protocol; Log-Infinitely Divisible Cascades (LIDC); extended self-similarity; network traffic; scale;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Mobile Congress 2009
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5302-3
  • Type

    conf

  • DOI
    10.1109/GMC.2009.5295868
  • Filename
    5295868