Browsing by Author "Fan, Pingzhi"

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    A 3D GBSM for high-speed train communication systems under deep cutting scenarios
    (IEEE, 2015-12) Feng, Liu; Fan, Pingzhi; Wang, Cheng-Xiang; Ghazal, Ammar
    This paper proposes a novel three-dimensional (3D) cylinder geometry-based stochastic model (GBSM) for non-isotropic multiple-input multiple-output (MIMO) Rice fading channels in high-speed train (HST) wireless communications under deep cutting scenarios. Using a validated approximation, the closed-form expression of the space-time correlation function (ST CF) of the proposed GBSM is obtained. Different from two-dimensional (2D) channel models, in the 3D GBSM the elevation angles and the height of the base station (BS) antenna relative to the mobile station (MS) one are introduced. The numerical results show the rationality of the approximation and how the arrangements of antennas affect the ST CF.
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    Channel Measurements and Models for High-Speed Train Communication Systems: A Survey
    (IEEE, 2015-12) Wang, Cheng-Xiang; Ghazal, Ammar; Ai, Bo; Liu, Yu; Fan, Pingzhi
    The recent development of high-speed trains (HSTs) as an emerging high mobility transportation system, and the growing demands of broadband services for HST users, introduce new challenges to wireless communication systems for HSTs. Accurate and efficient channel models considering both large-scale and non-stationary small-scale fading characteristics are crucial for the design, performance evaluation, and parameter optimization of HST wireless communication systems. However, the characteristics of the underlying HST channels have not yet been sufficiently investigated. This paper first provides a comprehensive review of the measurement campaigns conducted in different HST scenarios and then addresses the recent advances in HST channel models. Finally, key challenges of HST channel measurements and models are discussed and several research directions in this area are outlined.
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    A generic non-stationary MIMO channel model for different high-speed train scenarios
    (IEEE, 2016-04) Ghazal, Ammar; Wang, Cheng-Xiang; Liu, Yu; Fan, Pingzhi; Chahine, Mohamed Khaled
    This paper proposes a generic non-stationary wideband geometry-based stochastic model (GBSM) for multiple-input multiple-output (MIMO) high-speed train (HST) channels. The proposed generic model can be applied on the three most common HST scenarios, i.e., open space, viaduct, and cutting scenarios. A good agreement between the statistical properties of the proposed generic model and those of relevant measurement data from the aforementioned scenarios demonstrates the utility of the proposed channel model.