Speaker
Description
The deployment of 5G technology demands robust methodologies to assess radiofrequency electromagnetic field (RF-EMF) exposure under real-world conditions. This study evaluates RF-EMF exposure through a dual approach: instantaneous measurements with personal exposimeters and theoretical maximum exposure calculated via code-selective methodologies. Data collection was conducted at 16 strategically selected sites on the campus of the Polytechnic University of Valencia, encompassing diverse urban and semiurban scenarios. Measurements were taken under both low-traffic and high-traffic conditions, simulating real and peak network usage.
Results demonstrate that exposure levels remain significantly below ICNIRP safety thresholds, even under scenarios of maximum network demand, confirming the safe implementation of 5G networks. Spatial analysis, conducted using Geographic Information Systems (GIS) and Kriging interpolation, facilitated the creation of high-resolution exposure maps. These maps offer a clear visualization of exposure distribution and variability across the study area, enabling a deeper understanding of RF-EMF exposure patterns in complex environments.
By combining direct measurement with theoretical extrapolation and incorporating advanced spatial analysis techniques, this study provides a comprehensive framework for evaluating RF-EMF exposure in 5G networks. The findings not only confirm the safety of 5G infrastructure but also emphasize the importance of integrating geospatial tools to improve exposure assessment and risk communication. This methodology offers a valuable resource for public health stakeholders and supports informed decision-making in the deployment of next-generation telecommunications technology.
