A Realistic 3D Non-Stationary Channel Model for UAV-to-Vehicle Communications Incorporating Fuselage Posture

TL;DR

This paper introduces a new 3D non-stationary channel model for UAV-to-vehicle communications that accounts for fuselage posture, providing more accurate statistical properties and demonstrating its impact on channel characteristics.

Contribution

A novel 3D non-stationary GBSM for UAV-to-vehicle channels that incorporates fuselage posture effects, validated by analytical, simulated, and measured results.

Findings

Fuselage posture significantly affects U2V channel characteristics.

The model accurately predicts temporal and spatial correlation functions.

Compatibility with existing GBSMs without posture consideration is demonstrated.

Abstract

Considering the unmanned aerial vehicle (UAV) three-dimensional (3D) posture, a novel 3D non-stationary geometry-based stochastic model (GBSM) is proposed for multiple-input multiple-output (MIMO) UAV-to-vehicle (U2V) channels. It consists of a line-of-sight (LoS) and non-line-of-sight (NLoS) components. The factor of fuselage posture is considered by introducing a time-variant 3D posture matrix. Some important statistical properties, i.e. the temporal autocorrelation function (ACF) and spatial cross correlation function (CCF), are derived and investigated. Simulation results show that the fuselage posture has significant impact on the U2V channel characteristic and aggravate the non-stationarity. The agreements between analytical, simulated, and measured results verify the correctness of proposed model and derivations. Moreover, it is demonstrated that the proposed model is also compatible to the existing GBSM without considering fuselage posture.