• DocumentCode
    1788050
  • Title

    Comparison of inter-cell interference models for cellular networks

  • Author

    Osterbo, Olav ; Grondalen, Ole

  • Author_Institution
    Group Ind. Dev. (GID), Telenor Res., Fornebu, Norway
  • fYear
    2014
  • fDate
    23-26 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we compare some methods to analyze the influence inter-cell interference will have on coverage/outage probabilities in cellular OFDMA networks. The framework is based on a common method to find the Laplace transform of the interference from neighboring cells. It turns out that the analysis is highly simplified if the fading has a Suzuki probability distribution. The modeling approach allows for both fixed and stochastic locations of base stations, and the different models are applied to quantify the effect of the interference on the coverage/outage probabilities in LTE networks. We consider several scenarios ranging from fixed hexagonal layout of base station to stochastic distribution of base stations based on Poisson Point Processes. Numerical examples show quite large differences in coverage/outage probabilities for the network scenarios considered.
  • Keywords
    Laplace transforms; Long Term Evolution; OFDM modulation; frequency division multiple access; radiofrequency interference; stochastic processes; LTE networks; Laplace transform; Poisson point processes; Suzuki probability distribution; base stations; cellular OFDMA networks; coverage probabilities; fixed hexagonal layout; fixed locations; intercell interference models; outage probabilities; stochastic distribution; stochastic locations; Base stations; Interference; Laplace equations; Numerical models; Rayleigh channels; Stochastic processes; SINR; cellular networks; outage probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks and Communications (EuCNC), 2014 European Conference on
  • Conference_Location
    Bologna
  • Type

    conf

  • DOI
    10.1109/EuCNC.2014.6882633
  • Filename
    6882633