Abstract

Overview

The rapid advancement in 5G networks is set to change how the population is exposed to radio-frequency electromagnetic fields (RF-EMFs). This study provides a comprehensive look into these changes with a focus on exposure variability.

Methodology

This research incorporates a new approach using stochastic dosimetry, specifically the polynomial chaos kriging method, which allows for the estimation of exposure levels across 1000 different antenna beamforming patterns with minimal computational effort.

Findings

• The study simulated exposure using a child model, assessing the specific absorption rate (SAR) across various tissues.
• Significant exposure variability was observed, contingent on the array antenna's beamforming patterns.
• It identified specific elevation and azimuth angles of the main antenna beam that potentially lead to the highest exposure levels.

Conclusion

The findings highlight the critical need for ongoing research and assessment of RF-EMF exposure as 5G technology progresses, emphasizing potential health risks associated with varying exposure levels.