Generalised three‐dimensional scattering channel model and its effects on compact multiple‐input and multiple‐output antenna receiving systems

Zhou, Jie; Jiang, Hao; Kikuchi, Hisakazu

doi:10.1049/iet-com.2014.1059

Cited by 18 publications

(9 citation statements)

References 35 publications

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“…By using (16), the analytical and simulation results of the proposed Doppler PSDs S h pq (f D , t) in terms of the different movement time instant t are studied in Fig. 7.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…In [14], the authors adopted a number of confocal elliptic-cylinders to depict the scatterers distribution in roadside environments. The authors in [15] and [16] presented 3D scattering channel models to describe the mobile radio communications in macrocell and microcell environments, respectively. However, in [15] and [16], the necessity to model the roadside scatterers using semi-ellipsoids is not reasonable, since the roadside scatterers are unlikely (nearly impossible) to exist in the sky.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [15] and [16] presented 3D scattering channel models to describe the mobile radio communications in macrocell and microcell environments, respectively. However, in [15] and [16], the necessity to model the roadside scatterers using semi-ellipsoids is not reasonable, since the roadside scatterers are unlikely (nearly impossible) to exist in the sky. Furthermore, Zajic [17] proposed a 3D geometrical multipath fading channel model for narrowband MIMO M2M communications, which adopted a two-cylinder model to depict the straight scattering surfaces of the buildings in the roadside 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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“…By using (16), the analytical and simulation results of the proposed Doppler PSDs S h pq (f D , t) in terms of the different movement time instant t are studied in Fig. 7.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

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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“…RS-GBSMs assume that these geometries are regular shapes, e.g., sphere, ring, or cylinder. In other ways, GBSMs can be divided into twodimensional (2D) GBSMs [16] and three-dimensional (3D) GBSMs [17] according to the dimension of models. Considering the pattern of antenna arrays, the models can be categorized as single-input single-output (SISO) models [18] and MIMO models [19].…”

Section: Introductionmentioning

confidence: 99%

Analytical Nonstationary 3D MIMO Channel Model for Vehicle-to-Vehicle Communication on Slope

Liu

Wei

Chen

2021

International Journal of Antennas and Propagation

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Vehicle-to-vehicle communication plays a strong role in modern wireless communication systems, appropriate channel models are of great importance in future research, and propagation environment with slope is one special kind. In this study, a novel three-dimensional nonstationary multiple-input multiple-output channel model for the sub-6 GHz band is proposed. This model is a regular-shaped multicluster geometry-based analytical model, and it combines the line-of-sight component and multicluster scattering rays as the nonline-of-sight components. Each cluster of scatterers represents the influence of different moving vehicles on or near a slope, and scatterers are, respectively, distributed within two spheres around the transmitter and the receiver. In this model, it is considered that the azimuth and elevation angles of departure and arrival are jointly distributed and conform to the von Mises–Fisher distribution, which can easily control the range and concentration of the scatterers within spheres to mimic the real-world situation well. Moreover, the impulse response and the autocorrelation function of the corresponding channel is derived and proposed; then, the Doppler power spectrum density of the channel is simulated and analyzed. In addition, the nonstationary characteristics of the presented channel model are observed through simulations. Finally, the simulation results are compared with measurement data in order to validate the utility of the proposed model.

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“…Furthermore, the authors in [29] adopted a two‐sphere model to describe moving vehicles as well as multiple confocal elliptic‐cylinder models to depict roadside scenarios. The authors in [30] proposed a two‐cylinder model to depict moving and stationary scatterers in the vicinity of the transmitter and receiver. Meanwhile, Zajic stated that the mobility of interfering objects significantly affects the Doppler spectrum.…”

Section: Introductionmentioning

confidence: 99%

Channel modelling for vehicle‐to‐vehicle MIMO communications in geometrical rectangular tunnel scenarios

et al. 2020

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Generalised three‐dimensional scattering channel model and its effects on compact multiple‐input and multiple‐output antenna receiving systems

Cited by 18 publications

References 35 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

Analytical Nonstationary 3D MIMO Channel Model for Vehicle-to-Vehicle Communication on Slope

Channel modelling for vehicle‐to‐vehicle MIMO communications in geometrical rectangular tunnel scenarios

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