In this paper, a non-stationary geometry-based stochastic model (GBSM) for high-speed train (HST) MIMO channels is proposed. The proposed model employs geometry-based elliptical scattering model, where the received signal is a superposition of line-of-sight (LOS) and single- bounced rays. The time-varying reference system is introduced to more accurately characterize the non-stationarity of HST MIMO channels caused by the high speed factor. Based on the proposed model, the 2D space cross- correlation function (CCF) and the temporal autocorrelation function (ACF) are derived, simulated under both of isotropic and non-isotropic scattering conditions, and discussed in detail.


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    Titel :

    Geometry-Based Stochastic Modeling for Non-Stationary High-Speed Train MIMO Channels


    Beteiligte:
    Zhao, Junhui (Autor:in) / Wang, Shangyao (Autor:in) / Liu, Xu (Autor:in) / Gong, Yi (Autor:in)


    Erscheinungsdatum :

    01.09.2016


    Format / Umfang :

    1302820 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch