• DocumentCode
    1754638
  • Title

    On the Joint Distribution of Aggregate Interference at Multiple Wireless Receivers

  • Author

    KaeWon Choi ; Suhan Choi ; Ji-Hoon Yun

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea
  • Volume
    62
  • Issue
    3
  • fYear
    2013
  • fDate
    41334
  • Firstpage
    1355
  • Lastpage
    1362
  • Abstract
    In this paper, we investigate the joint distribution of the aggregate interference at multiple wireless receivers. We consider a wireless system that combines the received signals from spatially distant multiple wireless receivers. In such a system, the aggregate interference at each receiver correlates with those at other receivers, making it important to study the joint distribution of the aggregate interference at multiple receivers. We first derive the multivariate cumulant of the joint distribution of the aggregate interference and investigate the correlation and skewness of the distribution. Based on the cumulant, the joint distribution is approximated by the multivariate log-normal and the shifted log-normal distributions and the Edgeworth expansion. We show that these approximations well match the distribution obtained by a Monte Carlo simulation.
  • Keywords
    Monte Carlo methods; interference (signal); log normal distribution; radio receivers; signal processing; Monte Carlo simulation; aggregate interference; edgeworth expansion; joint distribution; multiple wireless receivers; multivariate cumulant; multivariate log-normal distributions; received signals; shifted log-normal distributions; Aggregates; Fading; Interference; Log-normal distribution; Receivers; Vectors; Wireless communication; Aggregate interference; Edgeworth expansion; cumulant; log-normal approximation; multivariate distribution; point process; random network;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2012.2232322
  • Filename
    6376266