• DocumentCode
    37737
  • Title

    The Equivalent-in-Distribution (EiD)-Based Approach: On the Analysis of Cellular Networks Using Stochastic Geometry

  • Author

    Di Renzo, Marco ; Wei Lu

  • Author_Institution
    Lab. des Signaux et Syst., Univ. Paris-Sud XI, Gif-sur-Yvette, France
  • Volume
    18
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    761
  • Lastpage
    764
  • Abstract
    In this Letter, the Equivalent-in-Distribution (EiD)-based approach to the analysis of cellular networks is introduced. It is based upon finding EiD representations of the aggregate other-cell interference of cellular networks, which lead to tractable and exact mathematical formulations of the Average Symbol Error Probability (ASEP) for arbitrary bi-dimensional modulations. As a byproduct, a new lemma is introduced, which provides a single-integral expression of the ASEP in terms of the Complementary Cumulative Distribution Function (CCDF) of the Signal-to-Interference-plus-Noise-Ratio (SINR).
  • Keywords
    cellular radio; error statistics; modulation; radiofrequency interference; stochastic processes; ASEP; CCDF; SINR; aggregate other-cell interference; arbitrary bidimensional modulations; average symbol error probability; cellular networks; complementary cumulative distribution function; equivalent-in-distribution representations; signal-to-interference-plus-noise-ratio; stochastic geometry; Aggregates; Fading; Geometry; Interference; Signal to noise ratio; Stochastic processes; Wireless communication; Cellular networks; equivalence in distribution; network interference modeling; stochastic geometry;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2014.030714.132865
  • Filename
    6774419