Angularly-Resolved 3D Foliage Modeling and Measurements at 60 and 80 GHz: From Stochastic Geometry to Deterministic Channel Characterization

TL;DR

This paper presents a combined stochastic and deterministic approach for 3D foliage modeling and channel characterization at 60 and 80 GHz, validated through measurements and analyzing angular dependencies of propagation parameters.

Contribution

It introduces a novel method integrating stochastic foliage generation with ray-tracing for deterministic channel modeling at millimeter-wave frequencies.

Findings

Channel parameters depend on angular position around the foliage.

The 3D model accurately predicts path-loss and delay spread.

Measurement data validates the modeling approach.

Abstract

In this paper, we show a stochastic approach to generate a 3D model of a foliage, which is then used for deterministic ray-tracing channel modeling. This approach is verified by a measurement campaign at 60 and 80 GHz with 2 GHz bandwidth. The wireless channel is characterized by path-loss and RMS delay spread and we show the angular dependency of those parameters when the receiver is placed on a half-circle around the tree. Besides electromagnetic material properties, the 3D model is characterized by several interpretable parameters, including tree volume, leaf size, leaf density, and the tree crown shape parameter.