Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications

In this work, the Discrete, Environment-Driven Ray Launching (DED-RL) algorithm, which makes use of parallelization on Graphic Processing Units, fully described in a previous paper, has been validated versus a large set of measurements to evaluate its performance in terms of both computational effic...

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Autores principales:	Enrico M. Vitucci, Jonathan S. Lu, Scot Gordon, Jian Jet Zhu, Vittorio Degli-Esposti
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	radio propagation ray tracing ray launching field prediction cellular radio GPU Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/40ceb9e9943748b8bb9c6dd42d76690f
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id	oai:doaj.org-article:40ceb9e9943748b8bb9c6dd42d76690f
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spelling	oai:doaj.org-article:40ceb9e9943748b8bb9c6dd42d76690f2021-11-11T15:38:43ZDiscrete Environment-Driven GPU-Based Ray Launching: Validation and Applications10.3390/electronics102126302079-9292https://doaj.org/article/40ceb9e9943748b8bb9c6dd42d76690f2021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2630https://doaj.org/toc/2079-9292In this work, the Discrete, Environment-Driven Ray Launching (DED-RL) algorithm, which makes use of parallelization on Graphic Processing Units, fully described in a previous paper, has been validated versus a large set of measurements to evaluate its performance in terms of both computational efficiency and accuracy. Three major urban areas have been considered, including a very challenging scenario in central San Francisco that was used as a benchmark to test an image-ray tracing algorithm in a previous work. Results show that DED-RL is as accurate as ray tracing, despite the much lower computation time, reduced by more than three orders of magnitude with respect to ray tracing. Moreover, the accuracy level only marginally depends on discretization pixel size, at least for the considered pixel size range. The unprecedented computational efficiency of DED-RL opens the way to numerous applications, ranging from RF coverage optimization of drone-aided cellular networks to efficient fingerprinting localization applications, as briefly discussed in the paper.Enrico M. VitucciJonathan S. LuScot GordonJian Jet ZhuVittorio Degli-EspostiMDPI AGarticleradio propagationray tracingray launchingfield predictioncellular radioGPUElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2630, p 2630 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	radio propagation ray tracing ray launching field prediction cellular radio GPU Electronics TK7800-8360
spellingShingle	radio propagation ray tracing ray launching field prediction cellular radio GPU Electronics TK7800-8360 Enrico M. Vitucci Jonathan S. Lu Scot Gordon Jian Jet Zhu Vittorio Degli-Esposti Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications
description	In this work, the Discrete, Environment-Driven Ray Launching (DED-RL) algorithm, which makes use of parallelization on Graphic Processing Units, fully described in a previous paper, has been validated versus a large set of measurements to evaluate its performance in terms of both computational efficiency and accuracy. Three major urban areas have been considered, including a very challenging scenario in central San Francisco that was used as a benchmark to test an image-ray tracing algorithm in a previous work. Results show that DED-RL is as accurate as ray tracing, despite the much lower computation time, reduced by more than three orders of magnitude with respect to ray tracing. Moreover, the accuracy level only marginally depends on discretization pixel size, at least for the considered pixel size range. The unprecedented computational efficiency of DED-RL opens the way to numerous applications, ranging from RF coverage optimization of drone-aided cellular networks to efficient fingerprinting localization applications, as briefly discussed in the paper.
format	article
author	Enrico M. Vitucci Jonathan S. Lu Scot Gordon Jian Jet Zhu Vittorio Degli-Esposti
author_facet	Enrico M. Vitucci Jonathan S. Lu Scot Gordon Jian Jet Zhu Vittorio Degli-Esposti
author_sort	Enrico M. Vitucci
title	Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications
title_short	Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications
title_full	Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications
title_fullStr	Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications
title_full_unstemmed	Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications
title_sort	discrete environment-driven gpu-based ray launching: validation and applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/40ceb9e9943748b8bb9c6dd42d76690f
work_keys_str_mv	AT enricomvitucci discreteenvironmentdrivengpubasedraylaunchingvalidationandapplications AT jonathanslu discreteenvironmentdrivengpubasedraylaunchingvalidationandapplications AT scotgordon discreteenvironmentdrivengpubasedraylaunchingvalidationandapplications AT jianjetzhu discreteenvironmentdrivengpubasedraylaunchingvalidationandapplications AT vittoriodegliesposti discreteenvironmentdrivengpubasedraylaunchingvalidationandapplications
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Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications

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