Temporal Analysis of a 3D Ellipsoid Channel Model for the Vehicle-to-Vehicle Communication Environments

Abstract

In vehicle-to-vehicle (V2V) communication scenarios, the antenna heights of the communicating nodes are typically lower than the heights of scattering objects in the vicinity of these nodes such that signal propagation in the elevation plane cannot be ignored. Therefore, it is necessary to consider three-dimensional (3D) space for modeling radio propagation in V2V communication environments. In this paper, the temporal characteristics of a 3D semi-ellipsoid geometrical channel model for V2V communication scenarios is presented by assuming uniform scatterer distribution around the mobile stations (MSs). Using the 3D semi-ellipsoid channel model, closed-form expressions for the joint probability density function (PDF) of the time-of-arrival (ToA) and angle-of-arrival (AoA) in azimuth and elevation planes is derived. A closed-form expression for the marginal PDF of ToA of the received signal is also provided. The proposed analytical results are compared with those obtained from some notable geometric channel models found in the literature.

A tunable 3‐D statistical channel model for spatio‐temporal characteristics of wireless communication networks

“…The absolute difference between the TSDs of analytical (proposed) and empirical curves is observed to be 0.05°, 2.707°, 0.55°, 4.93°, 4.38°, and 1.42° in Figure A‐F, respectively. Moreover, the proposed model provides an improvement of 0.01°, 0.15°, 0.03°, 3.563°, 1.721°, and 4.722° in the accuracy of model fitness over measurement results shown in Figure A‐F, respectively, when compared to a notable 3‐D analytical model in the literature . Moreover, for indoor propagation environments, the difference in fitness of analytical (proposed) results over measurement data sets is observed to be 0.12°, 3.55°, and 0.34° in Figure A‐C, respectively.…”

“…Unlike conventional cellular systems that have BS antenna height above or at rooftop levels, the antenna height of M2M nodes is expected to be typically much lower than the surrounding scatterers such as buildings, trees, and other objects. For example, in vehicle‐to‐vehicle (V2V) channels, which constitute a special case of M2M communications, this differing propagation environment has led to many investigations into appropriate 2‐dimensional (2‐D) and 3‐dimensional (3‐D) models . In the work of Paul et al, a uniform distribution of scatterers in circular regions is assumed around each MS, and the ToA and AoA statistics are investigated.…”

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

“…In general, there are three fundamental approaches to channel modeling: deterministic, geometry-based stochastic, and the tapped delay line (TDL) based stochastic models [8]. The author in [13] used ray-tracing software to model the deterministic environment, but its computational cost is exponentially increased with accuracy requirement.…”

“…Due to a dynamic change of speed and angle of motion for vehicles and moving scatterers the radio propagation conditions change rapidly, leading to nonstationary channel properties. For an accurate description of V2V elevation plane, 3D channel models have been proposed in [6,8,20,21], for a more precise spatial and temporal description of the V2V communication links relative to that provided by 2D channel models.…”

“…Many investigations focus on geometry-based stochastic channel model (GSCM) for its well suiting for nonstationary environments. In particular, regular shape geometry-based stochastic models (RS-GBSM) can be found in [6] (e.g., circular scattering model [7], elliptical scattering model [8], and ring model [9]). To preserve the mathematical tractability, RS-GBSMs assume that all the effective scatterers are located on a regular shape, which may not represent the practical V2V scattering environments due to the randomly distributed scatterers.…”