This exposure assessment used personal exposimeters to measure RF-EMF levels in the 2.4 GHz and 5.85 GHz Wi-Fi bands in airport terminals and during four international flights, including flights with and without onboard Wi-Fi service. Reported mean exposures varied by route but were described as substantially below an international reference level (10 W/m²). The authors conclude exposure is low while also recommending ongoing monitoring and precaution due to potential health concerns mentioned as emerging evidence.

This exposure assessment study compared RF-EMF measurements averaged over 1, 6, and 30 minutes using contiguous 1-minute data collected over 30 minutes at four indoor/outdoor sites across 15 frequency bands. Relative deviations between shorter averaging times and 30-minute averages were largely within ±3 dB. However, statistical comparisons of overall exposure variability between 1- or 6-minute and 30-minute averaging produced inconsistent results, with broadcast and most mobile services <2 GHz appearing broadly similar between 1- and 6-minute averaging.

This engineering/monitoring paper describes enhancements to the Serbian EMF RATEL system, which has continuously monitored RF-EMF since 2017, by adding drive test functionality to improve spatial coverage. The authors report preliminary quantitative drive test measurements and validation of the upgraded approach. The work emphasizes that characterizing spatial and temporal RF-EMF patterns can support exposure assessment relevant to public health risk evaluation.

This exposure assessment study analyzed smartphone-logged 4G LTE RSSI and GPS data from adults in France to identify determinants of downlink signal strength. RSSI varied with geospatial factors (distance to antennas, antenna density, urbanicity) and time of day, and was also influenced by technical smartphone parameters. The study reports an estimated electric field strength derived from RSSI, but notes high uncertainty in this conversion.

This exposure assessment measured environmental and auto-induced RF-EMF across more than 800 microenvironments in ten European countries, with a focus on 5G-related bands. Non-user environmental exposure was reported to be below international guideline values and similar to prior European research, while induced traffic substantially increased measured exposure, especially in uplink scenarios. The study also reports systematic differences by setting (cities vs villages) and by national precautionary limit policies.

This conference paper examines extrapolation factors used for in-situ EMF exposure assessment of 5G base stations in realistic indoor and outdoor scenarios. Using both frequency-selective and code-selective measurement approaches under varying traffic conditions, it reports substantial variability in extrapolated exposure estimates driven largely by antenna radiation patterns. Outdoor environments showed more stable extrapolation than indoor environments, highlighting challenges for reliable exposure assessment when antenna patterns and network configurations are not well characterized.

This exposure assessment reports 400 ground-level electric field measurements in Greek urban and suburban areas during 5G deployment. It finds that 4G contributes most to overall measured EMF exposure, while 5G currently contributes less. The study reports an inverse relationship between 3.5 GHz EMF levels and distance from 5G base stations, with urban areas showing higher levels than suburban areas.

This protocol and pilot study evaluated whether smartphone signal strength indicators can be converted into RF-EMF exposure estimates using derived formulas and regression models. The study reports a positive log-linear association between LTE RSSI and far-field (base station) exposure aggregated by location, while handset-related exposure at the ear and chest during data transmission showed negative log-linear trends with improving signal quality. The authors conclude the ETAIN 5G-Scientist app may support large-scale RF-EMF exposure assessment, but emphasize the need for more data to improve accuracy and address uncertainties in individual measurements.

This exposure assessment study introduces a cost-efficient add-on sensor attached to a smartphone to quantify auto-induced uplink RF-EMF transmission across 100–6000 MHz in multiple microenvironments. Activity-based surveys were conducted in seven European countries under non-user, maximum downlink, and maximum uplink scenarios. Reported power levels were lowest for non-user scenarios and higher during active use, with variation by country, urbanization, and setting. The authors frame the work as supporting future epidemiological research and planned validation against other tools.