• DocumentCode
    1754743
  • Title

    Outage Probability Analysis in Generalized Fading Channels with Co-Channel Interference and Background Noise: η-μ/η-μ, η-μ/κ-μ, and κ-μ/η-μ Scenarios

  • Author

    Ermolova, Natalia Y. ; Tirkkonen, Olav

  • Author_Institution
    Dept. of Commun. & Networking, Aalto Univ., Aalto, Finland
  • Volume
    13
  • Issue
    1
  • fYear
    2014
  • fDate
    41640
  • Firstpage
    291
  • Lastpage
    297
  • Abstract
    In this paper, we present expressions for the cumulative distribution function (CDF) of a specially constructed random variable (RV) represented by the ratio of two generalized RVs. The obtained theoretical results are used to evaluate the outage probability in scenarios with η-μ-faded signals of interest (SoI), η-μ- or κ-μ-faded co-channel interference (CCI), and background white Gaussian noise. Our results are applicable also to scenarios where the SoI passes through the κ-μ fading channel, and the interfering signals are η-μ-faded. The derived results can be used if all parameters μi of the η-μ models representing the statistical distributions of either the SoI components or CCI components are integers. We prove, in particular, that in the former case, the CDF is expressed in terms of elementary functions.
  • Keywords
    Gaussian noise; cochannel interference; fading channels; statistical distributions; η-μ/η-μ scenario; η-μ/κ-μ scenario; κ-μ fading channel; κ-μ/η-μ scenario; background noise; background white Gaussian noise; co-channel interference; generalized fading channels; outage probability analysis; random variable; signals of interest; statistical distributions; Fading; Interference; Nickel; Noise measurement; Signal to noise ratio; Silicon; Statistical distributions; η-μ and κ-μ fading distributions; Co-channel interference; outage probability; ratio of random variables;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2013.110813.130624
  • Filename
    6661325