RF-EMF exposure assessment with add-on uplink exposure sensor in different microenvironments in seven European countries
Abstract
Overview
This study introduces a new, cost-efficient, and low-complexity sensor for measuring radiofrequency electromagnetic field (RF-EMF) exposure, designed to address the limitations of current bulky and expensive devices for monitoring personal exposure from emerging 5G New Radio (NR) technology. The sensor enables measurement of RF-EMF exposure in diverse data transmission scenarios in various microenvironments.
Methods
- Activity-based microenvironmental surveys were performed in seven European countries: Belgium, Hungary, Italy, Poland, Switzerland, the Netherlands, and the United Kingdom.
- The device, attached to a smartphone, quantifies auto-induced uplink (a-UL) transmission within the 100 MHz to 6000 MHz broadband frequency range.
- Three scenarios were evaluated: non-user (environmental exposure), maximum downlink, and maximum uplink, in cities and rural villages across the countries.
Findings
- Lowest power levels were observed in non-user scenarios (median: -2.64 dBm or 0.54 mW).
- Maximum downlink and maximum uplink scenarios showed increases of 5.00 dB and 14.15 dB, respectively, relative to non-user scenarios.
- Highest median a-UL power in uplink: 18.68 dBm (73.79 mW) in The Netherlands; lowest: 4.77 dBm (3 mW) in the UK.
- Median power in cities was 2.72 dB lower than in villages.
- Outdoor areas had the lowest a-UL median power (12.35 dBm), with power increasing 1.78 dB and 1.91 dB in public transport and public places, respectively.
Conclusion
The study provides detailed comparisons of RF-EMF power levels by country, urbanization, and usage scenario, relevant for future epidemiological investigations into EMF health impacts. The new add-on sensor mapped exposure differences and highlighted general trends, such as higher exposures during active device use and notable disparities between locations and usage contexts.
Future Directions
- Comparisons with other measurement devices and phone apps (e.g., QualiPoc, ExpoM - RF4) are planned for validation.
- Incorporation of GPS data aims to analyze correlations with base station proximity and explore temporal trends as 5G deployment progresses.
- This information strengthens the basis for evaluating possible health risks associated with varying EMF exposures.