• DocumentCode
    2376815
  • Title

    Performance of multi-antenna MMSE receivers in non-homogenous Poisson networks

  • Author

    Zhu, Junjie ; Govindasamy, Siddhartan

  • Author_Institution
    F.W. Olin Coll. of Eng., Needham, MA, USA
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    2404
  • Lastpage
    2409
  • Abstract
    A technique to compute the Cumulative Distribution Function (CDF) of the Signal-to-Interference-plus-Noise-Ratio (SINR) for a wireless link with a multi-antenna, Linear, Minimum-Mean-Square-Error (MMSE) receiver in the presence of interferers distributed according to a non-homogenous Poisson point process on the plane, and independent Rayleigh fading between antennas is presented. This technique is used to compute the CDF of the SINR for several different models of intensity functions, in particular, power-law intensity functions, circular-symmetric Gaussian intensity functions and intensity functions described by a polynomial in a bounded domain. Additionally it is shown that if the number of receiver antennas is scaled linearly with the intensity function, the SINR converges in probability to a limit determined by the “shape” of the underlying intensity function. This work generalizes known results for homogenous Poisson networks to non-homogenous Poisson networks.
  • Keywords
    Gaussian processes; Rayleigh channels; mean square error methods; polynomials; probability; radio links; radio receivers; radiofrequency interference; receiving antennas; CDF; Rayleigh fading; SINR; circular-symmetric Gaussian intensity function; cumulative distribution function; interferer; linear minimum-mean-square-error; multiantenna MMSE receiver; nonhomogenous Poisson network; nonhomogenous Poisson point process; polynomial; power-law intensity function; probability; receiver antenna; signal-to-interference-plus-noise-ratio; wireless link; Interference; Polynomials; Receiving antennas; Signal to noise ratio; Transmitters; MIMO; MMSE; Non-homogeneous; Poisson;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364332
  • Filename
    6364332