Cargando…
Assessment of SAR in Road-Users from 5G-V2X Vehicular Connectivity Based on Computational Simulations
(1) Background: Cooperative Intelligent Transportation Systems (C-ITS) will soon operate using 5G New-Radio (NR) wireless communication, overcoming the limitations of the current V2X (Vehicle-to-Everything) wireless communication technologies and increasing road-safety and driving efficiency. These...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460500/ https://www.ncbi.nlm.nih.gov/pubmed/36081025 http://dx.doi.org/10.3390/s22176564 |
_version_ | 1784786762758881280 |
---|---|
author | Bonato, Marta Tognola, Gabriella Benini, Martina Gallucci, Silvia Chiaramello, Emma Fiocchi, Serena Parazzini, Marta |
author_facet | Bonato, Marta Tognola, Gabriella Benini, Martina Gallucci, Silvia Chiaramello, Emma Fiocchi, Serena Parazzini, Marta |
author_sort | Bonato, Marta |
collection | PubMed |
description | (1) Background: Cooperative Intelligent Transportation Systems (C-ITS) will soon operate using 5G New-Radio (NR) wireless communication, overcoming the limitations of the current V2X (Vehicle-to-Everything) wireless communication technologies and increasing road-safety and driving efficiency. These innovations will also change the RF exposure levels of pedestrians and road-users in general. These people, in fact, will be exposed to additional RF sources coming from nearby cars and from the infrastructure. Therefore, an exposure assessment of people in the proximity of a connected car is necessary and urgent. (2) Methods: Two array antennas for 5G-V2X communication at 3.5 GHz were modelled and mounted on a realistic 3D car model for evaluating the exposure levels of a human model representing people on the road near the car. Computational simulations were conducted using the FDTD solver implemented in the Sim4Life platform; different positions and orientations between the car and the human model were assessed. The analyzed quantities were the Specific Absorption Rate on the whole body (SAR(wb)), averaged over 10 g (SAR(10g)) in specific tissues, as indicated in the ICNIRP guidelines. (3) Results: the data showed that the highest exposure levels were obtained mostly in the head area of the human model, with the highest peak obtained in the configuration where the main beam of the 5G-V2X antennas was more direct towards the human model. Moreover, in all configurations, the dose absorbed by a pedestrian was well below the ICNIRP guidelines to avoid harmful effects. (4) Conclusions: This work is the first study on human exposure assessment in a 5G-V2X scenario, and it expands the knowledge about the exposure levels for the forthcoming use of 5G in connected vehicles. |
format | Online Article Text |
id | pubmed-9460500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94605002022-09-10 Assessment of SAR in Road-Users from 5G-V2X Vehicular Connectivity Based on Computational Simulations Bonato, Marta Tognola, Gabriella Benini, Martina Gallucci, Silvia Chiaramello, Emma Fiocchi, Serena Parazzini, Marta Sensors (Basel) Article (1) Background: Cooperative Intelligent Transportation Systems (C-ITS) will soon operate using 5G New-Radio (NR) wireless communication, overcoming the limitations of the current V2X (Vehicle-to-Everything) wireless communication technologies and increasing road-safety and driving efficiency. These innovations will also change the RF exposure levels of pedestrians and road-users in general. These people, in fact, will be exposed to additional RF sources coming from nearby cars and from the infrastructure. Therefore, an exposure assessment of people in the proximity of a connected car is necessary and urgent. (2) Methods: Two array antennas for 5G-V2X communication at 3.5 GHz were modelled and mounted on a realistic 3D car model for evaluating the exposure levels of a human model representing people on the road near the car. Computational simulations were conducted using the FDTD solver implemented in the Sim4Life platform; different positions and orientations between the car and the human model were assessed. The analyzed quantities were the Specific Absorption Rate on the whole body (SAR(wb)), averaged over 10 g (SAR(10g)) in specific tissues, as indicated in the ICNIRP guidelines. (3) Results: the data showed that the highest exposure levels were obtained mostly in the head area of the human model, with the highest peak obtained in the configuration where the main beam of the 5G-V2X antennas was more direct towards the human model. Moreover, in all configurations, the dose absorbed by a pedestrian was well below the ICNIRP guidelines to avoid harmful effects. (4) Conclusions: This work is the first study on human exposure assessment in a 5G-V2X scenario, and it expands the knowledge about the exposure levels for the forthcoming use of 5G in connected vehicles. MDPI 2022-08-31 /pmc/articles/PMC9460500/ /pubmed/36081025 http://dx.doi.org/10.3390/s22176564 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bonato, Marta Tognola, Gabriella Benini, Martina Gallucci, Silvia Chiaramello, Emma Fiocchi, Serena Parazzini, Marta Assessment of SAR in Road-Users from 5G-V2X Vehicular Connectivity Based on Computational Simulations |
title | Assessment of SAR in Road-Users from 5G-V2X Vehicular Connectivity Based on Computational Simulations |
title_full | Assessment of SAR in Road-Users from 5G-V2X Vehicular Connectivity Based on Computational Simulations |
title_fullStr | Assessment of SAR in Road-Users from 5G-V2X Vehicular Connectivity Based on Computational Simulations |
title_full_unstemmed | Assessment of SAR in Road-Users from 5G-V2X Vehicular Connectivity Based on Computational Simulations |
title_short | Assessment of SAR in Road-Users from 5G-V2X Vehicular Connectivity Based on Computational Simulations |
title_sort | assessment of sar in road-users from 5g-v2x vehicular connectivity based on computational simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460500/ https://www.ncbi.nlm.nih.gov/pubmed/36081025 http://dx.doi.org/10.3390/s22176564 |
work_keys_str_mv | AT bonatomarta assessmentofsarinroadusersfrom5gv2xvehicularconnectivitybasedoncomputationalsimulations AT tognolagabriella assessmentofsarinroadusersfrom5gv2xvehicularconnectivitybasedoncomputationalsimulations AT beninimartina assessmentofsarinroadusersfrom5gv2xvehicularconnectivitybasedoncomputationalsimulations AT galluccisilvia assessmentofsarinroadusersfrom5gv2xvehicularconnectivitybasedoncomputationalsimulations AT chiaramelloemma assessmentofsarinroadusersfrom5gv2xvehicularconnectivitybasedoncomputationalsimulations AT fiocchiserena assessmentofsarinroadusersfrom5gv2xvehicularconnectivitybasedoncomputationalsimulations AT parazzinimarta assessmentofsarinroadusersfrom5gv2xvehicularconnectivitybasedoncomputationalsimulations |