Empirical Evaluation of the Two-Ray Model for mmWave Overwater Communication

Understanding and characterizing millimeter wave (mmWave) communication in real-world scenarios is crucial to design reliable communication systems for Internet of Things (IoT) applications, including autonomous vessel’s remote operation. To this aim, this research provides an empirical evaluation of large-scale fading for vessel-to-shore communication at 28 GHz. Specifically, we experimentally assess the path loss (PL) performance of short-range Line-of-Sight (LoS) links with low antenna heights. The measurements show trends that match well with the two-ray model PL predictions, yielding a root mean square error (RMSE) of 2.56 dB in the 10-100 m range.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1109/lacap63752.2024.10876255
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
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article

Empirical Evaluation of the Two-Ray Model for mmWave Overwater Communication

Mauricio Rodríguez, Miguel Gutiérrez Gaitán, Jorge Celades
Millimeter-Wave Propagation and Modeling
article

Empirical Evaluation of the Two-Ray Model for mmWave Overwater Communication

Mauricio Rodríguez, Miguel Gutiérrez Gaitán, Jorge Celades
article en

Abstract

Understanding and characterizing millimeter wave (mmWave) communication in real-world scenarios is crucial to design reliable communication systems for Internet of Things (IoT) applications, including autonomous vessel’s remote operation. To this aim, this research provides an empirical evaluation of large-scale fading for vessel-to-shore communication at 28 GHz. Specifically, we experimentally assess the path loss (PL) performance of short-range Line-of-Sight (LoS) links with low antenna heights. The measurements show trends that match well with the two-ray model PL predictions, yielding a root mean square error (RMSE) of 2.56 dB in the 10-100 m range.

Pontificia Universidad Católica de Chile (CL)
Clean water and sanitation
Openalex Percentile: Top 75%
Millimeter-Wave Propagation and Modeling
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