Propagation Modeling Through Foliage in a Coniferous Forest at 28 GHz

Yaguang Zhang; Christopher R. Anderson; Nicolo Michelusi; David J. Love; Kenneth R. Baker; James V. Krogmeier

doi:10.1109/LWC.2019.2899299

Propagation Modeling Through Foliage in a Coniferous Forest at 28 GHz

Yaguang Zhang, Christopher R. Anderson, Nicolo Michelusi, David J. Love, Kenneth R. Baker, James V. Krogmeier

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

27 Scopus citations

Abstract

The goal of this letter is to investigate the propagation behavior of 28-GHz millimeter wave in coniferous forests and model its basic transmission loss. Field measurements were conducted with a custom-designed sliding correlator sounder. Relevant foliage regions were extracted from high-resolution LiDAR data and satellite images. Our results show that traditional foliage analysis models for lower-frequency wireless communications fail to consistently output correct path loss predictions. Novel fully automated site-specific models are proposed to resolve this issue, yielding 0.9 dB overall improvement and up to 20 dB regional improvement in root mean square errors.

Original language	English (US)
Article number	8641450
Pages (from-to)	901-904
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	8
Issue number	3
DOIs	https://doi.org/10.1109/LWC.2019.2899299
State	Published - Jun 2019
Externally published	Yes

Keywords

Channel modeling
coniferous forest environments
millimeter wave
site-specific models

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/LWC.2019.2899299

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title = "Propagation Modeling Through Foliage in a Coniferous Forest at 28 GHz",

abstract = "The goal of this letter is to investigate the propagation behavior of 28-GHz millimeter wave in coniferous forests and model its basic transmission loss. Field measurements were conducted with a custom-designed sliding correlator sounder. Relevant foliage regions were extracted from high-resolution LiDAR data and satellite images. Our results show that traditional foliage analysis models for lower-frequency wireless communications fail to consistently output correct path loss predictions. Novel fully automated site-specific models are proposed to resolve this issue, yielding 0.9 dB overall improvement and up to 20 dB regional improvement in root mean square errors.",

keywords = "Channel modeling, coniferous forest environments, millimeter wave, site-specific models",

author = "Yaguang Zhang and Anderson, {Christopher R.} and Nicolo Michelusi and Love, {David J.} and Baker, {Kenneth R.} and Krogmeier, {James V.}",

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AU - Zhang, Yaguang

AU - Anderson, Christopher R.

AU - Michelusi, Nicolo

AU - Love, David J.

AU - Baker, Kenneth R.

AU - Krogmeier, James V.

PY - 2019/6

Y1 - 2019/6

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AB - The goal of this letter is to investigate the propagation behavior of 28-GHz millimeter wave in coniferous forests and model its basic transmission loss. Field measurements were conducted with a custom-designed sliding correlator sounder. Relevant foliage regions were extracted from high-resolution LiDAR data and satellite images. Our results show that traditional foliage analysis models for lower-frequency wireless communications fail to consistently output correct path loss predictions. Novel fully automated site-specific models are proposed to resolve this issue, yielding 0.9 dB overall improvement and up to 20 dB regional improvement in root mean square errors.

KW - Channel modeling

KW - coniferous forest environments

KW - millimeter wave

KW - site-specific models

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Propagation Modeling Through Foliage in a Coniferous Forest at 28 GHz

Abstract

Keywords

ASJC Scopus subject areas

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