• DocumentCode
    2362688
  • Title

    A novel approach to improve sparse data models

  • Author

    Schoeman, Johan ; Linde, Louis P.

  • Author_Institution
    Electron. & Comput. Eng. Univ. of Pretoria, Guateng
  • fYear
    2007
  • fDate
    26-28 Sept. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper implements the recently introduced measure of sparseness with a specific feedback mechanism to improve the large standard deviation that current random data sources suffer from. The authors will show the drawbacks of the current, frequently used random data sources and suggest a novel approach to rectify these disadvantages. Simulation results are presented for various blocklengths typically used in 3G UMTS/WCDMA systems, showing how the standard deviation may be significantly reduced by up to 33% by using an optimal feedback length. These optimal feedback lengths are also presented, as well as some conclusions regarding communication system simulation and future
  • Keywords
    3G mobile communication; code division multiple access; 3G UMTS; WCDMA system; optimal feedback length; sparse data model; standard deviation; 3G mobile communication; Africa; Current measurement; Data engineering; Data models; Electric variables measurement; Feedback; Measurement standards; Multiaccess communication; Telecommunication control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AFRICON 2007
  • Conference_Location
    Windhoek
  • Print_ISBN
    978-1-4244-0987-7
  • Electronic_ISBN
    978-1-4244-0987-7
  • Type

    conf

  • DOI
    10.1109/AFRCON.2007.4401457
  • Filename
    4401457