A 3D Non-Stationary Wideband Geometry-Based Channel Model for MIMO Vehicle-to-Vehicle Communication System

TL;DR

This paper introduces a comprehensive 3D non-stationary wideband channel model for vehicle-to-vehicle communication, capturing diverse environments and dynamic movement effects to improve realistic V2V channel characterization.

Contribution

It presents a novel 3D non-WSS geometry-based model with a two-cylinder and semi-ellipsoid structure, accounting for mobility and non-stationarity in V2V channels.

Findings

The model accurately depicts macro-, micro-, and picocell environments.

Time-variant statistics like space and frequency correlation functions are characterized.

Numerical results validate the model's practicality for real V2V channels.

Abstract

In this paper, we present a three-dimensional (3D) non-wide-sense stationary (non-WSS) wideband geometry-based channel model for vehicle-to-vehicle (V2V) communication environments. We introduce a two-cylinder model to describe moving vehicles as well as multiple confocal semi-ellipsoid models to depict stationary roadside scenarios. The received signal is constructed as a sum of the line-of-sight (LoS), single-, and double-bounced rays with different energies. Accordingly, the proposed channel model is sufficient for depicting a wide variety of V2V environments, such as macro-, micro-, and picocells. The relative movement between the mobile transmitter (MT) and mobile receiver (MR) results in time-variant geometric statistics that make our channel model non-stationary. Using this channel model, the proposed channel statistics, i.e., the time-variant space correlation functions (CFs), frequency CFs, and corresponding Doppler power spectral density (PSD), were studied for different relative moving time instants. The numerical results demonstrate that the proposed 3D non-WSS wideband channel model is practical for characterizing real V2V channels.