scholarly journals Simulation and Analysis of Extended Spatial Channel Model in Vehicle-to-Vehicle Communication Environments

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xin Chen ◽  
Yaolin Zhu ◽  
Yong Fang
Keyword(s):  
Channel Model ◽  
Reference Model ◽  
Statistical Properties ◽  
Death Process ◽  
Closed Form Expression ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Communication Environments ◽  
Spatial Channel Model ◽  
V2v Communications

In this paper, an extension spatial channel model (SCM) for vehicle-to-vehicle (V2V) communications is proposed. To efficiently illustrate the real-world scenarios and reflect nonstationary properties of V2V channels, all effective scattering objects are subdivided into three categories of clusters according to the relative position of clusters. Besides, a birth-death process is introduced to model the appearance and disappearance of clusters on both the array and time axes. Their impacts on V2V channels are investigated via statistical properties including correlation functions. Additionally, a closed-form expression of channel impulse response (CIR) is derived from an extension SCM and cluster-based models. Furthermore, the spatial and frequency statistical properties of the reference model are thoroughly investigated. Finally, simulation results show that the proposed SCM V2V model is in close agreement with previously reported results, thereby validating the accuracy and effectiveness of the proposed model.

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.

scholarly journals A General 3D Nonstationary Vehicle-to-Vehicle Channel Model Allowing 3D Arbitrary Trajectory and 3D-Shaped Antenna Array

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Qiuming Zhu ◽  
Weidong Li ◽  
Ying Yang ◽  
Dazhuan Xu ◽  
Weizhi Zhong ◽  
...  
Keyword(s):  
Antenna Arrays ◽  
Channel Model ◽  
Multiple Input Multiple Output ◽  
Temporal Correlation ◽  
Statistical Properties ◽  
Vehicle To Vehicle ◽  
Input Multiple Output ◽  
V2v Communications ◽  
Doppler Power ◽  
Mobile Receiver

Most of the existing channel model for multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communications only considered that the terminals were equipped with linear antenna arrays and moved with fixed velocities. Nevertheless, under the realistic environment, those models are not practical since the velocities and trajectories of mobile transmitter (MT) and mobile receiver (MR) could be time-variant and unpredictable due to the complex traffic conditions. This paper develops a general 3D nonstationary V2V channel model, which is based on the traditional geometry-based stochastic models (GBSMs) and the twin-cluster approach. In contrast to the traditional models, this new model is characterized by 3D scattering environments, 3D antenna arrays, and 3D arbitrary trajectories of both terminals and scatterers. The calculating methods of channel parameters are also provided. In addition, the statistical properties, i.e., spatial-temporal correlation function (STCF) and Doppler power spectrum density (DPSD), are derived in detail. Simulation results have demonstrated that the output statistical properties of the proposed model agree well with the theoretical and measured results, which verifies the effectiveness of theoretical derivations and channel model as well.

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.

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

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Kaizhen Liu ◽  
Zaixue Wei ◽  
Sibo Chen
Keyword(s):  
Communication Systems ◽  
Channel Model ◽  
Multiple Input Multiple Output ◽  
Measurement Data ◽  
Special Kind ◽  
Mimo Channel ◽  
Future Research ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication

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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