A Non-Stationary MIMO Channel Model for High-Speed Train Communication Systems

Ammar Ghazal,Xiaohu Ge,Cheng-Xiang Wang,Dongfeng Yuan,Harald Haas,Xiaofeng Lu,Mark Beach

doi:10.1109/vetecs.2012.6240333

A Non-Stationary MIMO Channel Model for High-Speed Train Communication Systems

Ammar Ghazal, Xiaohu Ge + Show 5 more

Open Access

https://doi.org/10.1109/vetecs.2012.6240333

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Publication Date: May 1, 2012

Citations: 56

Affiliation: Heriot-Watt University, Huazhong University of Science and Technology, University of Edinburgh, Huawei Technologies (China), University of Bristol

#Local Scattering Function #Geometry-based Stochastic Model + Show 8 more

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Abstract

This paper proposes a non-stationary wideband geometry-based stochastic model (GBSM) for multiple-input multiple-output (MIMO) high-speed train (HST) channels. The proposed model has the ability to investigate the non-stationarity of HST environment caused by the high speed movement of the receiver. Based on the proposed model, the space-time-frequency (STF) correlation function (CF) and STF local scattering function (LSF) are derived for different taps. Numerical results show the non-stationarity of the proposed channel model.

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