Publication result detail

Characterizing the 80 GHz Channel in Static Scenarios: Diffuse Reflection, Scattering, and Transmission Through Trees Under Varying Weather Conditions

ZÁVORKA, R.; MIKULÁŠEK, T.; VYCHODIL, J.; BLUMENSTEIN, J.; CHANDRA, A.; HAMMOUD, H.; KELNER, J.; ZIÓŁKOWSKI, C.; ZEMEN, T.; MECKLENBRÄUKER, C.; PROKEŠ, A.

Original Title

Characterizing the 80 GHz Channel in Static Scenarios: Diffuse Reflection, Scattering, and Transmission Through Trees Under Varying Weather Conditions

English Title

Characterizing the 80 GHz Channel in Static Scenarios: Diffuse Reflection, Scattering, and Transmission Through Trees Under Varying Weather Conditions

Type

WoS Article

Original Abstract

The deployment of wireless systems in millimeter wave relies on a thorough understanding of electromagnetic wave propagation under various weather conditions and scenarios. In this study, we characterize millimeter wave propagation effects from measurement data, utilizing channel impulse response analysis with a focus on root mean square delay spread and Rician K-factor. The obtained results highlight the significant influence of weather conditions and foliage on propagation, including diffuse reflection, scattering, and absorption. Particularly, we observed a notable increase in scattering from deciduous trees with leaves, in comparison with bare trees or ones covered by snow or ice. The attenuation of the signal propagated through a tree with foliage is 2.16 dB/m higher compared to a bare tree. Our validation measurements within a semi-anechoic chamber confirmed these observations and aided in quantifying the differences. These findings offer valuable insights into the dynamics of millimeter-wave signals that are important for advancing wireless communication technologies.

English abstract

The deployment of wireless systems in millimeter wave relies on a thorough understanding of electromagnetic wave propagation under various weather conditions and scenarios. In this study, we characterize millimeter wave propagation effects from measurement data, utilizing channel impulse response analysis with a focus on root mean square delay spread and Rician K-factor. The obtained results highlight the significant influence of weather conditions and foliage on propagation, including diffuse reflection, scattering, and absorption. Particularly, we observed a notable increase in scattering from deciduous trees with leaves, in comparison with bare trees or ones covered by snow or ice. The attenuation of the signal propagated through a tree with foliage is 2.16 dB/m higher compared to a bare tree. Our validation measurements within a semi-anechoic chamber confirmed these observations and aided in quantifying the differences. These findings offer valuable insights into the dynamics of millimeter-wave signals that are important for advancing wireless communication technologies.

Keywords

Channel impulse response, Weather conditions, RMS delay spread, Rician K-factor}, Channel characterization, 80 GHz channel sounding, Channel modeling

Key words in English

Channel impulse response, Weather conditions, RMS delay spread, Rician K-factor}, Channel characterization, 80 GHz channel sounding, Channel modeling

Authors

ZÁVORKA, R.; MIKULÁŠEK, T.; VYCHODIL, J.; BLUMENSTEIN, J.; CHANDRA, A.; HAMMOUD, H.; KELNER, J.; ZIÓŁKOWSKI, C.; ZEMEN, T.; MECKLENBRÄUKER, C.; PROKEŠ, A.

RIV year

2025

Released

02.10.2024

Publisher

IEEE ACCESS

ISBN

2169-3536

Periodical

IEEE Access

Volume

12

Number

1

State

United States of America

Pages from

144738

Pages to

144749

Pages count

12

URL

Full text in the Digital Library

BibTex

@article{BUT190127,
  author="Radek {Závorka} and Tomáš {Mikulášek} and Josef {Vychodil} and Jiří {Blumenstein} and Aniruddha {Chandra} and Hussein {Hammoud} and Jan M. {Kelner} and Cezary {Ziółkowski} and Thomas {Zemen} and Christoph {Mecklenbräuker} and Aleš {Prokeš}",
  title="Characterizing the 80 GHz Channel in Static Scenarios: Diffuse Reflection, Scattering, and Transmission Through Trees Under Varying Weather Conditions",
  journal="IEEE Access",
  year="2024",
  volume="12",
  number="1",
  pages="144738--144749",
  doi="10.1109/ACCESS.2024.3472003",
  issn="2169-3536",
  url="https://ieeexplore.ieee.org/document/10703038"
}

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