Calibration of NYURay for Ray Tracing Using 28, 73, and 142 GHz Channel Measurements Conducted in Indoor, Outdoor, and Factory Scenarios

Site-specific wireless channel simulations via ray tracers can be used to effectively study wireless network deployments, decreasing the need for extensive site-specific radio propagation measurements. To ensure that ray tracer simulations faithfully reproduce wireless channels, calibration of simulation results against real-world measurements is required. In this study, we introduce NYURay, a 3-D ray tracer specifically tailored for mmWave and sub-THz frequencies. To reliably generate site-specific wireless channel parameters, NYURay is calibrated using radio propagation measurements conducted at 28, 73, and 142 GHz in diverse scenarios such as outdoor areas, indoor offices, and factories. Traditional ray tracing calibration assumes angle-dependent reflection, requiring slow iterative optimization techniques with no closed-form solution. We propose a simpler and quicker novel calibration method that assumes angle-independent reflection. The effectiveness of the proposed calibration approach is demonstrated using NYURay. When comparing the directional multipath power predicted by NYURay to the actual measured power, the standard deviation in error was less than 3 dB in indoor office environments and less than 2 dB in outdoor and factory environments. The root mean square (rms) delay spread and angular spread were underpredicted by NYURay due to incomplete environmental maps available for calibration; however, an overall agreement between the measured and simulated values was observed. These results highlight the high level of accuracy NYURay provides in generating the site-specific real-world wireless channel, that could be used to generate synthetic data for machine learning.

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Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2024-10-17
DOI
https://doi.org/10.1109/tap.2024.3472214
Citations
14
Primary Topic
Digital Radiography and Breast Imaging
Type
article
Field-Weighted Citation Impact
5.87

Funders

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article

Calibration of NYURay for Ray Tracing Using 28, 73, and 142 GHz Channel Measurements Conducted in Indoor, Outdoor, and Factory Scenarios

Hitesh Poddar, Theodore S. Rappaport, Ojas Kanhere
14 citations
IEEE Transactions on Antennas and Propagation
Digital Radiography and Breast Imaging
5.87
article

Calibration of NYURay for Ray Tracing Using 28, 73, and 142 GHz Channel Measurements Conducted in Indoor, Outdoor, and Factory Scenarios

Hitesh Poddar, Theodore S. Rappaport, Ojas Kanhere
article en
14 citations

Abstract

Site-specific wireless channel simulations via ray tracers can be used to effectively study wireless network deployments, decreasing the need for extensive site-specific radio propagation measurements. To ensure that ray tracer simulations faithfully reproduce wireless channels, calibration of simulation results against real-world measurements is required. In this study, we introduce NYURay, a 3-D ray tracer specifically tailored for mmWave and sub-THz frequencies. To reliably generate site-specific wireless channel parameters, NYURay is calibrated using radio propagation measurements conducted at 28, 73, and 142 GHz in diverse scenarios such as outdoor areas, indoor offices, and factories. Traditional ray tracing calibration assumes angle-dependent reflection, requiring slow iterative optimization techniques with no closed-form solution. We propose a simpler and quicker novel calibration method that assumes angle-independent reflection. The effectiveness of the proposed calibration approach is demonstrated using NYURay. When comparing the directional multipath power predicted by NYURay to the actual measured power, the standard deviation in error was less than 3 dB in indoor office environments and less than 2 dB in outdoor and factory environments. The root mean square (rms) delay spread and angular spread were underpredicted by NYURay due to incomplete environmental maps available for calibration; however, an overall agreement between the measured and simulated values was observed. These results highlight the high level of accuracy NYURay provides in generating the site-specific real-world wireless channel, that could be used to generate synthetic data for machine learning.

IEEE Transactions on Antennas and PropagationVol. 73(1)
New York University (US)
National Science Foundation
Openalex Percentile: Top 3%
Digital Radiography and Breast Imaging
5.87
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