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Wireless power distributions in multi-cavity systems at high frequencies

The next generations of wireless networks will work in frequency bands ranging from sub-6 GHz up to 100 GHz. Radio signal propagation differs here in several critical aspects from the behaviour in the microwave frequencies currently used. With wavelengths in the millimetre range (mmWave), both penet...

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Autores principales: Adnan, Farasatul, Blakaj, Valon, Phang, Sendy, Antonsen, Thomas M., Creagh, Stephen C., Gradoni, Gabriele, Tanner, Gregor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897641/
https://www.ncbi.nlm.nih.gov/pubmed/33633488
http://dx.doi.org/10.1098/rspa.2020.0228
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author Adnan, Farasatul
Blakaj, Valon
Phang, Sendy
Antonsen, Thomas M.
Creagh, Stephen C.
Gradoni, Gabriele
Tanner, Gregor
author_facet Adnan, Farasatul
Blakaj, Valon
Phang, Sendy
Antonsen, Thomas M.
Creagh, Stephen C.
Gradoni, Gabriele
Tanner, Gregor
author_sort Adnan, Farasatul
collection PubMed
description The next generations of wireless networks will work in frequency bands ranging from sub-6 GHz up to 100 GHz. Radio signal propagation differs here in several critical aspects from the behaviour in the microwave frequencies currently used. With wavelengths in the millimetre range (mmWave), both penetration loss and free-space path loss increase, while specular reflection will dominate over diffraction as an important propagation channel. Thus, current channel model protocols used for the generation of mobile networks and based on statistical parameter distributions obtained from measurements become insufficient due to the lack of deterministic information about the surroundings of the base station and the receiver-devices. These challenges call for new modelling tools for channel modelling which work in the short-wavelength/high-frequency limit and incorporate site-specific details—both indoors and outdoors. Typical high-frequency tools used in this context—besides purely statistical approaches—are based on ray-tracing techniques. Ray-tracing can become challenging when multiple reflections dominate. In this context, mesh-based energy flow methods have become popular in recent years. In this study, we compare the two approaches both in terms of accuracy and efficiency and benchmark them against traditional power balance methods.
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spelling pubmed-78976412021-02-24 Wireless power distributions in multi-cavity systems at high frequencies Adnan, Farasatul Blakaj, Valon Phang, Sendy Antonsen, Thomas M. Creagh, Stephen C. Gradoni, Gabriele Tanner, Gregor Proc Math Phys Eng Sci Special Feature The next generations of wireless networks will work in frequency bands ranging from sub-6 GHz up to 100 GHz. Radio signal propagation differs here in several critical aspects from the behaviour in the microwave frequencies currently used. With wavelengths in the millimetre range (mmWave), both penetration loss and free-space path loss increase, while specular reflection will dominate over diffraction as an important propagation channel. Thus, current channel model protocols used for the generation of mobile networks and based on statistical parameter distributions obtained from measurements become insufficient due to the lack of deterministic information about the surroundings of the base station and the receiver-devices. These challenges call for new modelling tools for channel modelling which work in the short-wavelength/high-frequency limit and incorporate site-specific details—both indoors and outdoors. Typical high-frequency tools used in this context—besides purely statistical approaches—are based on ray-tracing techniques. Ray-tracing can become challenging when multiple reflections dominate. In this context, mesh-based energy flow methods have become popular in recent years. In this study, we compare the two approaches both in terms of accuracy and efficiency and benchmark them against traditional power balance methods. The Royal Society Publishing 2021-01 2021-01-20 /pmc/articles/PMC7897641/ /pubmed/33633488 http://dx.doi.org/10.1098/rspa.2020.0228 Text en © 2021 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Special Feature
Adnan, Farasatul
Blakaj, Valon
Phang, Sendy
Antonsen, Thomas M.
Creagh, Stephen C.
Gradoni, Gabriele
Tanner, Gregor
Wireless power distributions in multi-cavity systems at high frequencies
title Wireless power distributions in multi-cavity systems at high frequencies
title_full Wireless power distributions in multi-cavity systems at high frequencies
title_fullStr Wireless power distributions in multi-cavity systems at high frequencies
title_full_unstemmed Wireless power distributions in multi-cavity systems at high frequencies
title_short Wireless power distributions in multi-cavity systems at high frequencies
title_sort wireless power distributions in multi-cavity systems at high frequencies
topic Special Feature
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897641/
https://www.ncbi.nlm.nih.gov/pubmed/33633488
http://dx.doi.org/10.1098/rspa.2020.0228
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