• DocumentCode
    713740
  • Title

    Extended shadow fading model for irregular cellular networks

  • Author

    Kayili, Levent ; Sousa, Elvino

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2015
  • fDate
    9-12 March 2015
  • Firstpage
    902
  • Lastpage
    907
  • Abstract
    We consider a cellular network where base stations with widely different maximum power capabilities (or power classes) are deployed in a highly inhomogeneous or irregular pattern - referred to as an irregular cellular network. This paper proposes an extension of a spatially correlated shadowing model appropriate for irregular networks, that was detailed in previous work. The extended model has the capability to generate correlated lognormal shadowing in scenarios with inhomogeneous shadowing parameters. This is accomplished through computation of multiple Gaussian potential fields. A complete algorithm for the shadowing model is detailed in the paper. In addition, the model is verified through simulation, and computational complexity reduction is discussed. The proposed model enables the calculation of correlated shadowing in realistic irregular cellular networks. In addition, it forms part of a channel simulation framework which will be important in evaluating slow adaptation algorithms such as those forming part of 3GPP LTE SON.
  • Keywords
    Gaussian processes; Long Term Evolution; cellular radio; 3GPP LTE SON; Gaussian potential fields; computational complexity reduction; correlated lognormal shadowing; extended shadow fading model; irregular cellular networks; maximum power capabilities; Complexity theory; Computational modeling; Correlation; Nonhomogeneous media; Radio link; Shadow mapping; Standards; autonomous cellular network; channel models; correlated shadowing; irregular cellular network; self-organizing network (SON);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2015 IEEE
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/WCNC.2015.7127589
  • Filename
    7127589