• DocumentCode
    2948650
  • Title

    A non-stationary MIMO vehicle-to-vehicle channel model based on the geometrical T-junction model

  • Author

    Chelli, Ali ; Pätzold, Matthias

  • Author_Institution
    Fac. of Eng. & Sci., Univ. of Agder, Grimstad, Norway
  • fYear
    2009
  • fDate
    13-15 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we derive a non-stationary multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channel model from the geometrical T-junction model. The propagation environment is assumed to be extremely non-isotropic. The proposed channel model takes into account double-bounce scattering from fixed scatterers. Due to the movement of the transmitter and the receiver, the angles of departure (AoD) and the angles of arrival (AoA) are time-variant, which makes our model non-stationary. In order to study the statistical properties of the proposed channel model, we make use of the Choi-Williams distribution. Analytical solutions are provided for the generalized local autocorrelation function (ACF), the time-frequency distribution, and the local space cross-correlation function (CCF). The proposed channel model is very useful for the design and analysis of future MIMO V2V communication systems.
  • Keywords
    MIMO communication; direction-of-arrival estimation; mobile communication; wireless channels; Choi-Williams distribution; arrival angles; autocorrelation function; cross-correlation function; departure angles; double-bounce scattering; geometrical T-junction model; non-stationary MIMO vehicle-to-vehicle channel model; propagation environment; time-frequency distribution; Autocorrelation; Automotive engineering; Fading; MIMO; Road accidents; Scattering; Solid modeling; Stochastic processes; Time frequency analysis; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4856-2
  • Electronic_ISBN
    978-1-4244-5668-0
  • Type

    conf

  • DOI
    10.1109/WCSP.2009.5371438
  • Filename
    5371438