Yang, W., Huang, J., Zhang, J. orcid.org/0000-0003-3750-6841 et al. (3 more authors) (2021) Verification of an intelligent ray launching algorithm in indoor environments in the Ka‐band. Radio Science, 56 (9). e2020RS007252. ISSN 0048-6604
Abstract
This paper presents the verification of indoor propagation channel simulations based on an intelligent ray launching algorithm (IRLA) in the Ka-band of the millimeter-wave (mmWave) spectrum in various indoor environments, including a classroom, an office, and a corridor, by radio channel measurements. Power delay profiles (PDPs), path loss, and root-mean-square (RMS) delay spreads were obtained from both the simulation results and the measurement results. Moreover, parameters of two site-general path loss models, the close-in free space reference distance path loss model and the floating-intercept path loss model, were estimated based on the measured and simulated path loss. The comparison between the simulation results and the measurement results indicates that the IRLA-based simulation can accurately describe the main characteristics of the indoor propagation channel in the Ka-band.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | channel modeling; radio propagation; verification of intelligent ray launching algorithm; channel sounding; mmWave |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Oct 2021 15:49 |
Last Modified: | 06 Oct 2021 15:49 |
Status: | Published |
Publisher: | American Geophysical Union (AGU) |
Refereed: | Yes |
Identification Number: | 10.1029/2020rs007252 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178826 |