Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations

TL;DR

This paper introduces a stochastic 3-D foliage model for 80 GHz ray-tracing simulations, validated through experiments, to improve understanding of signal propagation in vegetated environments.

Contribution

It presents a novel stochastic foliage modeling approach with adjustable parameters, validated by measurements, enhancing simulation accuracy at high frequencies.

Findings

Foliage density and size significantly affect path loss.

The model accurately predicts delay spread in vegetation.

Experimental validation confirms model reliability.

Abstract

A stochastic modeling methodology for 3-D foliage is presented, aimed at enhancing ray-tracing simulations. The model supports adjustable stochastic geometry, density, and shape to capture variability in foliage structures. The model is validated through experimental measurements of representative vegetation. The influence of foliage density and size on path loss and root mean square delay spread is analyzed to demonstrate the applicability of the model in the 80 GHz frequency band.