scholarly journals A Non-Stationary MIMO Vehicle-to-Vehicle Channel Model Derived From the Geometrical T-Junction Model

10.5772/15166 ◽  
2011 ◽  
Author(s):  
Ali Chelli ◽  
Matthias Patzol
Keyword(s):  
Channel Model ◽  
Vehicle To Vehicle

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

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Xin Chen ◽  
Yong Fang ◽  
Weidong Xiang ◽  
Liang Zhou
Keyword(s):  
Communication Channel ◽  
Channel Model ◽  
Critical Distance ◽  
Traffic Density ◽  
Vehicle Speed ◽  
Angle Of Arrival ◽  
Vehicle To Vehicle ◽  
Proposed Model ◽  
Spatial Channel Model ◽  
The Impact

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.

A Non-Stationary Geometry-Based Scattering Vehicle-to-Vehicle MIMO Channel Model

2018 ◽  
Vol 22 (7) ◽  
pp. 1510-1513 ◽  
Author(s):  
Hao Jiang ◽  
Zaichen Zhang ◽  
Liang Wu ◽  
Jian Dang
Keyword(s):  
Channel Model ◽  
Mimo Channel ◽  
Vehicle To Vehicle

Temporal Correlations for a Non-Stationary Vehicle-to-Vehicle Channel Model Allowing Velocity Variations

2019 ◽  
Vol 23 (7) ◽  
pp. 1280-1284 ◽  
Author(s):  
Qiuming Zhu ◽  
Weidong Li ◽  
Cheng-Xiang Wang ◽  
Dazhuan Xu ◽  
Ji Bian ◽  
...  
Keyword(s):  
Channel Model ◽  
Temporal Correlations ◽  
Vehicle To Vehicle ◽  
Velocity Variations

A 3-D Non-Stationary Wideband Geometry-Based Channel Model for MIMO Vehicle-to-Vehicle Communications in Tunnel Environments

2019 ◽  
Vol 68 (7) ◽  
pp. 6257-6271 ◽  
Author(s):  
Hao Jiang ◽  
Zaichen Zhang ◽  
Liang Wu ◽  
Jian Dang ◽  
Guan Gui
Keyword(s):  
Channel Model ◽  
Vehicle To Vehicle

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

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Xin Chen ◽  
Yong Fang ◽  
Yanzan Sun ◽  
Yuntian Pan ◽  
Weidong Xiang
Keyword(s):  
Channel Model ◽  
Reference Model ◽  
Three Dimensional ◽  
Measurement Data ◽  
Time Correlation ◽  
Time Correlation Function ◽  
Statistical Characterization ◽  
Urban Street ◽  
Vehicle To Vehicle ◽  
V2v Communications

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.

Geometrical channel model for vehicle-to-vehicle systems

2014 ◽  
Vol 68 (8) ◽  
pp. 779-782 ◽  
Author(s):  
Abraham Amaro-Ramos ◽  
David Munoz-Rodriguez ◽  
Cesar Vargas-Rosales
Keyword(s):  
Channel Model ◽  
Vehicle To Vehicle ◽  
Vehicle Systems

scholarly journals A TDL Based Non-WSSUS Vehicle-to-Vehicle Channel Model

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yan Li ◽  
Bo Ai ◽  
Xiang Cheng ◽  
Siyu Lin ◽  
Zhangdui Zhong
Keyword(s):  
Communication Systems ◽  
Delay Line ◽  
Channel Model ◽  
Correlation Coefficients ◽  
Simulation Method ◽  
Wide Sense ◽  
V2v Communication ◽  
Vehicle To Vehicle ◽  
Model And Simulation ◽  
The Relationship

This paper proposes a non-wide-sense-stationary-uncorrelated scattering (WSSUS) channel model for vehicle-to-vehicle (V2V) communication systems. The proposed channel model is based on the tapped-delay line (TDL) structure and considers the correlation between taps both in amplitude and phase. Using the relationship between the correlation coefficients of complex Gaussian, Weibull, and Uniform random variables (RVs), the amplitude and the phase of taps with different delays are modeled as correlated RVs to reflect the non-WSSUS properties of V2V channels. The effectiveness of the proposed channel model and simulation method is validated by the measurements in different scenarios.

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