Exploring RF-EMF levels in Swiss microenvironments: An evaluation of environmental and auto-induced downlink and uplink exposure in the era of 5G

DOI

The advancement of cellular networks requires updating measurement protocols to better study radiofrequency electromagnetic field (RF-EMF) exposure emitted from devices and base stations. This paper aims to present a novel activity-based microenvironmental survey protocol to measure environmental, auto-induced downlink (DL), and uplink (UL) RF-EMF exposure in the era of 5G. We present results when applying the protocol in Switzerland.Five study areas with different degrees of urbanization were selected, in which microenvironments were defined to assess RF-EMF exposure in the population. Three scenarios of data transmission were performed using a user equipment in flight mode (non-user), inducing DL traffic (max DL), or UL traffic (max UL). The exposimeter ExpoM-RF 4, continuously measuring 35 frequency bands ranging from broadcasting to Wi-Fi sources, was carried in a backpack and placed 30 cm apart from the user equipment.The highest median RF-EMF levels during the non-user scenario were measured in an urban business area (1.02 mW/m2). Here, DL and broadcasting bands contributed the most to total RF-EMF levels. Compared to the non-user scenario, exposure levels increased substantially during max DL due to the 5G band at 3.5 GHz with 50% of the median levels between 3.20 and 12.13 mW/m2, mostly in urban areas. Note that the time-division nature of this band prevents distinguishing between exposure contribution from DL beamforming or UL signals emitted at this frequency. The highest levels were measured during max UL, especially in rural microenvironments, with 50% of the median levels between 12.08 and 37.50 mW/m2. Mobile UL 2.1 GHz band was the primary contributor to exposure during this scenario.The protocol was successfully applied in Switzerland and used in nine additional countries. Inducing DL and UL traffic resulted in a substantial increase in exposure, whereas environmental exposure levels remained similar to previous studies. This data is important for epidemiological research and risk communication/management.

Identifier
DOI https://doi.org/10.34810/data2035
Related Identifier IsCitedBy https://doi.org/10.1016/j.envres.2024.120550
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2035
Provenance
Creator Adriana Fernandes Veludo ORCID logo; Bram Stroobandt ORCID logo; Han Van Bladel ORCID logo; Nekane Sandoval-Diez ORCID logo; Mònica Guxens ORCID logo; Wout Joseph ORCID logo; Martin Röösli ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor UBIOESGD
Publication Year 2025
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact UBIOESGD (Barcelona Institute for Global Health)
Representation
Resource Type Experimental data; Dataset
Format type/x-r-syntax; text/tab-separated-values; text/csv; application/pdf; text/plain
Size 15727; 40476; 40211; 20921; 207797; 1575135; 1636782; 4667252; 4090112; 3358320; 3822831; 3048493; 4974323; 4368537; 5146255; 5414856; 5225265; 4437144; 4912568; 4991014; 5393517; 3255576; 3351437; 3299827; 8573
Version 2.0
Discipline Life Sciences; Medicine