A Novel Non-Stationary High-Speed Train (HST) Channel Modeling and Simulation Method

Bi, Yuming; Zhang, Jianhua; Zhu, Qiuming; Zhang, Weite; Lan, Tian; Zhang, Ping

doi:10.1109/tvt.2018.2882648

Cited by 17 publications

(15 citation statements)

References 33 publications

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“…In multipath channels, the propagation path length of each wave determines the delay and essentially also the average power of the wave at the receiver. Therefore, the existing literatures used a channel modeling approach o represent the multi-path propagation channel between a transmitter and a receiver [6]. It is worth mentioning that the geometric model specifies the mathematical model and the algorithms used for channel modeling that applied to all communication scenarios.…”

Section: System Channel Modelmentioning

confidence: 99%

“…where f (α R ) and f (β R ) denotes the von Mises PDFs of the arrival azimuth and elevation variables, respectively, which closed-form expressions are in (6) and 7, respectively. Therefore, we can rewrite (11) as…”

Section: Statistical Propagation Properties Of the Proposed Modelmentioning

confidence: 99%

“…In wireless multiple-input and multiple-output (MIMO) communication environments, the waves from the transmitter impinge on the scatterers in the roadside environments before reaching at the receiver [4]; therefore, it is important to adopt Ricean fading channels to characterize the propagation characteristics in 5G M2M communications [5]. Numerical studies have demonstrated that the computational complexities of geometry-based stochastic models (GBSMs) are extremely low while their accuracies are very high; therefore, geometry-based channel modeling has been widely used to study the statistical propagation properties of M2M channels in 5G communication scenarios [6]. The existing literatures present a variety of geometric channel models to depict the distribution region of interfering objects in wireless communication scenarios.…”

Section: Introductionmentioning

confidence: 99%

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A 3D Cylinder MIMO Channel Model for 5G Macrocell Mobile-to-Mobile Communication Systems

et al. 2019

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For fifth-generation (5G) macrocell mobile-to-mobile (M2M) communication scenarios, we in this article propose a three-dimensional (3D) cylinder multiple-input and multiple-output (MIMO) channel model to reflect the distribution region of interfering objects in macrocell propagation environments, where the receiver (Rx) is located in the center point of the cylinder model, while the transmitter (Tx) is outside the scattering region. In the proposed model, the received signal is constructed as a sum of the components with line-of-sight (LoS) propagations and the components reflected by the objects with different energies, i.e., non-line-of-sight (NLoS) propagation components, which makes the model has the ability to sufficiently adaptable to a variety of 5G wireless communication scenarios. Furthermore, we investigate the statistical channel propagation properties, i.e., spatial cross-correlation functions (CCFs) of two different propagation components, temporal autocorrelation functions (ACFs), and Doppler power spectrum densities (PSDs), for different movement directions and time instants of the Tx and Rx. Numerical analytical results of the propagation properties fit the simulation results very well, which demonstrate that the proposed 3D model is practical for characterizing the real 5G macrocell M2M channels. INDEX TERMS Macrocell MIMO communication environments, 3D cylinder MIMO channel model, LoS propagations, NLoS propagation components, and propagation properties.

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Section: System Channel Modelmentioning

confidence: 99%

Section: Statistical Propagation Properties Of the Proposed Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A 3D Cylinder MIMO Channel Model for 5G Macrocell Mobile-to-Mobile Communication Systems

et al. 2019

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“…The theoretical TV-DPSD calculated by (15) is given in Figure 6. With the variation of the angle between the incoming wave and the direction of motion, the Doppler shift has a smooth drift from positive maximum to negative minimum.…”

Section: Tv-dpsdmentioning

confidence: 99%

“…The local angle of arrival (AOA) and angle of departure (AOD) were thus time-invariant, and the non-stationarity was unable to be characterized. The two-dimensional (2D) high-speed train model in [15] considered the non-stationary characteristic caused by the variation of the velocity and the angle of motion (AOM), but the temporal variations of AOA which contribute to the non-stationary characteristic were neglected.…”

Section: Introductionmentioning

confidence: 99%

A 3D Non-Stationary Channel Model with Moving Mobile Station in Rectangular Tunnel

Ren

Zhang

Zheng

et al. 2019

International Journal of Antennas and Propagation

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This paper presents a three-dimensional (3D) geometry-based stochastic model (GBSM) for capturing the non-stationarity of radio channel at 1.8 GHz in a rectangular tunnel. A time-variant (TV) complex channel gain is derived for obtaining the statistical properties in time, frequency, and spatial domains such as the time-variant autocorrelation function (TV-ACF), the time-variant Doppler power spectral density (TV-DPSD), and the time-variant spatial cross-correlation function (TV-CCF), respectively. Then the TV channel statistical properties at different time instants can be extracted and the non-stationary channel characteristics caused by the TV scattering environment are thoroughly discussed. Furthermore, three cases including "approach", "arrival", and "away" are set to allow a comprehensive study on how the DPSD behaves with the relative position between transmitter and receiver. The reliability of proposed 3D GBSM is highlighted by a good agreement with the measured result in terms of the correlation function.

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Real-time ray-based channel generation and emulation for UAV communications

Yang

Chen

et al. 2022

Chinese Journal of Aeronautics

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A Novel Non-Stationary High-Speed Train (HST) Channel Modeling and Simulation Method

Cited by 17 publications

References 33 publications

A 3D Cylinder MIMO Channel Model for 5G Macrocell Mobile-to-Mobile Communication Systems

A 3D Cylinder MIMO Channel Model for 5G Macrocell Mobile-to-Mobile Communication Systems

A 3D Non-Stationary Channel Model with Moving Mobile Station in Rectangular Tunnel

Real-time ray-based channel generation and emulation for UAV communications

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