A comprehensive review of 5G NR RF-EMF exposure assessment technologies: fundamentals, advancements, challenges, niches, and implications.

5G new radio Exposimeter Exposure assessment Measurement equipment Mobile phone-based tools Personal exposure Radiofrequency electromagnetic fields Sensor

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
05 Jul 2024
Historique:
received: 28 03 2024
revised: 16 06 2024
accepted: 30 06 2024
medline: 8 7 2024
pubmed: 8 7 2024
entrez: 7 7 2024
Statut: aheadofprint

Résumé

This review offers a detailed examination of the current landscape of radio frequency (RF) electromagnetic field (EMF) assessment tools, ranging from spectrum analyzers and broadband field meters to area monitors and custom-built devices. The discussion encompasses both standardized and non-standardized measurement protocols, shedding light on the various methods employed in this domain. Furthermore, the review highlights the prevalent use of mobile apps for characterizing 5G-NR radio network data. A growing need for low-cost measurement devices is observed, commonly referred to as "sensors" or "sensor nodes," that are capable of enduring diverse environmental conditions. These sensors play a crucial role in both microenvironmental surveys and individual exposures, enabling stationary, mobile, and personal exposure assessments based on body-worn sensors, across wider geographical areas. This review revealed a notable need for cost-effective and long-lasting sensors, whether for individual exposure assessments, mobile (vehicle-integrated) measurements, or incorporation into distributed sensor networks. However, there is a lack of comprehensive information on existing custom-developed RF-EMF measurement tools, especially in terms of measuring uncertainty. Additionally, there is a need for real-time, fast-sampling solutions to understand the highly irregular temporal variations EMF distribution in next-generation networks. Given the diversity of tools and methods, a comprehensive comparison is crucial to determine the necessary statistical tools for aggregating the available measurement data.

Identifiants

pubmed: 38972338
pii: S0013-9351(24)01429-4
doi: 10.1016/j.envres.2024.119524
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

119524

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Erdal Korkmaz (E)

The Hague University of Applied Sciences, Research Group Smart Sensor Systems, 2627 AL, Delft, The Netherlands. Electronic address: e.korkmaz@hhs.nl.

Sam Aerts (S)

The Hague University of Applied Sciences, Research Group Smart Sensor Systems, 2627 AL, Delft, The Netherlands.

Richard Coesoij (R)

Delft University of Technology, Department of Microelectronics, 2628 CN, Delft, The Netherlands.

Chhavi Raj Bhatt (CR)

Australian Radiation Protection and Nuclear Safety Agency, VIC 3085, Yallambie, Australia.

Maarten Velghe (M)

National Institute for Public Health and the Environment, Centre for Sustainability, Environment and Health, 3720 BA, Bilthoven, The Netherlands.

Loek Colussi (L)

Dutch Authority for Digital Infrastructure, 9700 AL, Groningen, The Netherlands.

Derek Land (D)

The Hague University of Applied Sciences, Research Group Smart Sensor Systems, 2627 AL, Delft, The Netherlands.

Nikolaos Petroulakis (N)

Institute of Computer Science, Foundation for Research and Technology-Hellas, 70013, Heraklion, Greece.

Marco Spirito (M)

Delft University of Technology, Department of Microelectronics, 2628 CN, Delft, The Netherlands.

John Bolte (J)

The Hague University of Applied Sciences, Research Group Smart Sensor Systems, 2627 AL, Delft, The Netherlands; National Institute for Public Health and the Environment, Centre for Sustainability, Environment and Health, 3720 BA, Bilthoven, The Netherlands.

Classifications MeSH