• DocumentCode
    2896391
  • Title

    A novel stochastic geometrical model for wideband MIMO-V2V channels

  • Author

    ElMoslimany, Ahmad ; El-Keyi, Amr ; Mohasseb, Yahya

  • Author_Institution
    Wireless Intell. Networks Center (WINC), Nile Univ., Giza, Egypt
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    345
  • Lastpage
    350
  • Abstract
    In this paper, we present a novel wideband multiple-input multiple-output Vehicle-to-Vehicle channel model. The proposed channel model is derived using the geometrical elliptical scattering approach. In order to emulate the appearance and disappearance of scatterers (vehicles, terrain, roadside units, etc.) in the environment, we associate a persistence process with each physical scatterer in the model. The parameters of the proposed model can be tuned to represent a variety of vehicular environments. We also derive the temporal and spatial correlation functions of the channel coefficients. Channel measurements and numerical examples are presented to provide more insight into the model and the physical interpretation of its parameters.
  • Keywords
    MIMO communication; correlation methods; electromagnetic wave scattering; mobile communication; stochastic processes; wireless channels; channel coefficients; channel measurements; geometrical elliptical scattering approach; persistence process; physical scatterer; spatial correlation function; stochastic geometrical model; temporal correlation function; vehicular environments; wideband MIMO-V2V channels; wideband multiple-input multiple-output vehicle-to-vehicle channel model; Channel models; Correlation; Markov processes; Receiving antennas; Scattering; Transmitting antennas; Vehicles; MIMO-V2V channel modelling; geometrical elliptical scattering; nonstationary channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology (ICCIT), 2013 Third International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4673-5306-9
  • Type

    conf

  • DOI
    10.1109/ICCITechnology.2013.6579577
  • Filename
    6579577