A Roadside Scattering Model for the Vehicle-to-Vehicle Communication Channel

Cheng, Lin; Stancil, Daniel D.; Bai, Fan

doi:10.1109/jsac.2013.sup.0513040

Cited by 38 publications

(53 citation statements)

References 27 publications

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“…In the second subcategory, scatterers are realistically (and randomly) located at the roadsides and between the road lanes in which the vehicles move [20]- [22]. The main propagation mechanisms that are realistically modelled are line-of-sight (LOS), discrete multipath components from mobile scatterers, discrete components from static scatterers and diffuse components [20], [21].…”

Section: B Geometry-based Stochastic Channel Models (Gscm)mentioning

confidence: 99%

Generic stochastic modeling of vehicle-to-vehicle wireless channels

Karadimas

Matolak

2014

Vehicular Communications

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We present a generic statistical characterization of the vehicle-to-vehicle (V-V) wireless channel by adopting a stochastic modeling approach. Our approach is based on the doubly underspread (DU) property of non-wide sense stationary uncorrelated scattering (non-WSSUS) wireless channels, with V-V channels pertaining to this category. DU channels exhibit explicit frequency and time intervals over which they are approximated as WSSUS. We call these intervals restricted time interval (RTI) and restricted bandwidth (RBW), and variations taking place inside them are characterized as small scale variations. Large scale variations take place outside RTI and RBW. In this paper, we focus on small scale variations, thus, our modeling finds its applicability within RTI and RBW. As practical V-V channels exhibit rapid

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Section: B Geometry-based Stochastic Channel Models (Gscm)mentioning

confidence: 99%

Generic stochastic modeling of vehicle-to-vehicle wireless channels

Karadimas

Matolak

2014

Vehicular Communications

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“…In these models, the GBSMs are most widely used in V2V communication systems for theoretical analysis of channel statistics and performance evaluation, which can be classified as regular-shaped GBSMs (RS-GBSMs) [5][6][7][8][9][10] and irregular-shape GBSMs [11,12], mainly depending on whether scatterers are located on regular shapes or irregular shapes. The authors of [5][6][7][8] presented RS-GBSMs consisting two-ring, two-cylinder, and one ellipse models. However, their underlying assumption of all scatterers is being uniformly distributed on regular geometries, which does not agree with the realistic measurements.…”

Section: Introductionmentioning

confidence: 99%

“…The drawback compared to RS-GBSMs is that closed-form expressions generally cannot be derived, but there are a number of important benefits: the environment can be easily changed and easily reproduce realistic temporal channel variations [12]. In [6,7], the authors proposed two-dimensional (2D) RS-GBSMs; they neglect signal variations and spatial diversity in the vertical plane. Therefore, 3D two-cylinder and multiring RSGBSMs were developed for wideband nonisotropic MIMO V2V channels in [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…For 3D V2V channel modeling, the conventional 2D models only consider the propagation path in the horizontal plane, which cannot be directly taken into account owing to the elevation angle in 3D space. Furthermore, it is obvious that the previous work in [5][6][7][8][9][10] is improper because it neglects the impact of the distribution of scattering objects on the channel statistics. A 3D channel modeling study currently under way within 3GPP is expected to shed light on these various issues.…”

Section: Introductionmentioning

confidence: 99%

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Statistical Characterization of Novel 3D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments

Chen

Fang

Sun

et al. 2018

International Journal of Antennas and Propagation

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We develop a novel three-dimensional (3D) cluster-based channel model for vehicle-to-vehicle (V2V) communications under the scenarios of urban street scattering environments. The proposed model combines the flexibility of geometrical channel models with the existing state-of-the-art 3D V2V models. To provide an accurate representation of specific locations and realistic V2V fading environments in a computationally manageable fashion, all clusters are divided into three groups of use cases including "ahead," "between," and "behind" clusters according to the relative locations of clusters. Using the proposed V2V model, we first derive the closed-form expressions of the channel impulse response (CIR), including the line-of-sight (LoS) components and cluster components. Subsequently, for three categories of clusters, the corresponding statistical properties of the reference model are studied. We additionally derive the expressions of the 3D space-time correlation function (STCF), the autocorrelation function (ACF), and 2D STCF. Finally, comparisons with on-road measurement data and numerical experiments demonstrate the validity and effectiveness of the proposed 3D cluster-based V2V model.

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“…It is natural to ponder the possibility that measurement campaigns at different sites representing the crossing, suburban, highway, and rural environments are the most direct strategy [5]. However, VANET research relies heavily on simulations, due to the prohibitive costs of deploying realworld testbeds.…”

Section: Introductionmentioning

confidence: 99%

Research on Spatial Channel Model for Vehicle-to-Vehicle Communication Channel in Roadside Scattering Environment

Chen

Fang

Xiang

et al. 2017

International Journal of Antennas and Propagation

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In this paper, an extension of spatial channel model (SCM) for vehicle-to-vehicle (V2V) communication channel in roadside scattering environment is investigated for the first time theoretically and by simulations. Subsequently, to efficiently describe the roadside scattering environment and reflect the nonstationary properties of V2V channels, the proposed SCM V2V model divides the scattering objects into three categories of clusters according to the location of effective scatterers by introducing critical distance. We derive general expressions for the most important statistical properties of V2V channels, such as channel impulse response, power spectral density, angular power density, autocorrelation function, and Doppler spread of the proposed model. The impact of vehicle speed, traffic density, and angle of departure, angle of arrival, and other statistical performances on the V2V channel model is thoroughly discussed. Numerical simulation results are presented to validate the accuracy and effectiveness of the proposed model.

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A Roadside Scattering Model for the Vehicle-to-Vehicle Communication Channel

Cited by 38 publications

References 27 publications

Generic stochastic modeling of vehicle-to-vehicle wireless channels

Generic stochastic modeling of vehicle-to-vehicle wireless channels

Statistical Characterization of Novel 3D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments

Research on Spatial Channel Model for Vehicle-to-Vehicle Communication Channel in Roadside Scattering Environment

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