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

Abstract

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.

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

“…In practical V2V scattering environments as shown in Figure 1, scatterers are intensively distributed in terms of clusters along the roadside since subpaths have similar AoD, AoA, and latency in a cluster [11]. Furthermore, prior studies have shown that the number and position of scatterers seriously affect the signal propagation of V2V channels [22,26].…”

“…Under the scenarios of V2V communication, both Tx and Rx may be in motion and lower than scatterers on surrounding buildings. In fact, the moving scatterers, e.g., moving cars and pedestrians, have nonignorable impact on V2V channel statistics as described in [10][11][12]. Furthermore, the influence of changes in both angles and velocities of Tx and Rx could cause the nonstationary properties of V2V channels [13].…”

“…However, their underlying assumption of all scatterers is uniformly distributed on regular geometries, which does not agree with the real measurements. In [10][11][12], the authors investigated the fixed and moving scatterers on the statistics of MIMO V2V channels under non-line-of-sight (NLoS) scenarios where both the singleand double-bounced components were taken into account. In [26], the author proposed a V2V channel model assuming the local scatterers moving with random velocities in random directions, which is more close to the real-world scattering circumstances.…”

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

“…Empirical stochastic distributions, e.g., the uniform distribution [16,17], Von Mises distribution [18,19], and Von Mises-Fisher distribution [20], have always been assumed to characterize the angular parameter to achieve the closed-form representation of channel statistical properties. But the AOAs in [16][17][18][19][20] are not modeled as time-variant functions. It is not suitable for the real-time mobile behavior modeling; the temporal variations of the angle parameters need to be included in these models.…”

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

“…In practical V2V environments, scatterers are intensively distributed in terms of clusters along the roadside since subpaths have similar angle of departure (AoD), angle of arrival (AoA), and latency in a cluster [18][19][20][21]. 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.…”