The temporal imprint of mobile phone emission level when running various applications in 4G versus 5G networks

Abstract

Overview

Human exposure to electromagnetic fields from mobile phones is significant due to the intensity of phone radiation. Various types of mobile applications were studied to assess the emissions from 4G and 5G networks.

Findings

• Statistics and Analyses: Techniques like recurrence quantification and time-frequency analyses were used to measure emissions.
• Emission Differences: Notable differences were recorded between 4G and 5G emissions. Specific applications had distinct emission signatures, particularly during uploads and video calls.
• Comparative Emission Strengths: 5G shows higher variation in emissions, and patterns of short-term versus long-term variability differ significantly between 4G and 5G.

Conclusion

The study introduces a novel approach to capturing the dynamics of mobile phone emissions. Significant differences were noted between the emissions from different types of mobile applications on 4G versus 5G networks, suggesting an intricate relationship between network technology and radiation exposure, which may imply health risks needing further investigation.