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

Jiri Blumenstein; Radek Zavorka; Josef Vychodil; Tomas Mikulasek; Jaroslaw Wojtun; Jan M. Kelner; Cezary Ziolkowski; Rajeev Shukla; Markus Hofer; Thomas Zemen; Christoph Mecklenbrauker; Aniruddha Chandra; Ales Prokes

doi:10.1109/LAWP.2025.3600373

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

Jiri Blumenstein
, Radek Zavorka
, Josef Vychodil
, Tomas Mikulasek
, Jaroslaw Wojtun
, Jan M. Kelner
, Cezary Ziolkowski
, Rajeev Shukla
, Markus Hofer
, Thomas Zemen
, Christoph Mecklenbrauker
, Aniruddha Chandra
, Ales Prokes

Brno University of Technology
Military University of Technology Warsaw
National Institute of Technology, Durgapur
TU Wien

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	3669-3673
Number of pages	5
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	24
Issue number	10
DOIs	https://doi.org/10.1109/LAWP.2025.3600373
Publication status	Published - Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Field

Former Research Field - Enabling Digital Technologies

Keywords

80 GHz
radio propagation
foliage model

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10.1109/LAWP.2025.3600373

Cite this

Blumenstein, J., Zavorka, R., Vychodil, J., Mikulasek, T., Wojtun, J., Kelner, J. M., Ziolkowski, C., Shukla, R., Hofer, M., Zemen, T., Mecklenbrauker, C., Chandra, A., & Prokes, A. (2025). Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations. IEEE Antennas and Wireless Propagation Letters, 24(10), 3669-3673. https://doi.org/10.1109/LAWP.2025.3600373

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

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.",

keywords = "80 GHz, radio propagation, foliage model",

author = "Jiri Blumenstein and Radek Zavorka and Josef Vychodil and Tomas Mikulasek and Jaroslaw Wojtun and Kelner, \{Jan M.\} and Cezary Ziolkowski and Rajeev Shukla and Markus Hofer and Thomas Zemen and Christoph Mecklenbrauker and Aniruddha Chandra and Ales Prokes",

year = "2025",

month = oct,

doi = "10.1109/LAWP.2025.3600373",

language = "English",

volume = "24",

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journal = "IEEE Antennas and Wireless Propagation Letters",

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Blumenstein, J, Zavorka, R, Vychodil, J, Mikulasek, T, Wojtun, J, Kelner, JM, Ziolkowski, C, Shukla, R, Hofer, M , Zemen, T, Mecklenbrauker, C, Chandra, A & Prokes, A 2025, 'Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations', IEEE Antennas and Wireless Propagation Letters, vol. 24, no. 10, pp. 3669-3673. https://doi.org/10.1109/LAWP.2025.3600373

TY - JOUR

T1 - Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations

AU - Blumenstein, Jiri

AU - Zavorka, Radek

AU - Vychodil, Josef

AU - Mikulasek, Tomas

AU - Wojtun, Jaroslaw

AU - Kelner, Jan M.

AU - Ziolkowski, Cezary

AU - Shukla, Rajeev

AU - Hofer, Markus

AU - Zemen, Thomas

AU - Mecklenbrauker, Christoph

AU - Chandra, Aniruddha

AU - Prokes, Ales

PY - 2025/10

Y1 - 2025/10

N2 - 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.

AB - 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.

KW - 80 GHz

KW - radio propagation

KW - foliage model

UR - https://doi.org/10.1109/LAWP.2025.3600373

U2 - 10.1109/LAWP.2025.3600373

DO - 10.1109/LAWP.2025.3600373

M3 - Article

SN - 1536-1225

VL - 24

SP - 3669

EP - 3673

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

IS - 10

ER -

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

Abstract

UN SDGs

Research Field

Keywords

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