On the Quasistationarity of the Ambient Electromagnetic Field Generated by Wi-Fi Sources

Abstract

Overview

The abstract discusses the significant increase in radiofrequency electromagnetic fields (RF-EMFs) due to the proliferation of mobile phones and wireless technologies, highlighting concerns about continuous RF-EMF exposure for the general population. Evidence shows that real-life RF signals—often more variable and unpredictable—may be more biologically active compared to well-controlled laboratory signals. This paper focuses on analyzing the nature of ambient EMF signals, particularly those generated by Wi-Fi sources, evaluating their stationarity using various statistical methods.

Findings

• Wi-Fi signal recordings were analyzed across different operational modes, with a special focus on video streaming.
• Statistical tests (including APDP and APTF methods) showed that Wi-Fi signals lacked stationarity in both time and frequency domains.
• The absence of stationarity highlights challenges in replicating real-life RF-EMF exposures in laboratory environments, as real signals are harder for living organisms to adapt to due to their unpredictable nature.
• Methods for generating laboratory signals that authentically reflect the variability of real-life Wi-Fi emissions are proposed, suggesting the production of signals from the Pearson system of distributions.

Conclusion

The stationarity of electromagnetic emissions plays a critical role in their biological impact. Nonstationary, dynamic EMF exposures may limit the adaptive response of living organisms, amplifying potential adverse effects on human health. The study suggests that laboratory experiments using traditional stationary or low-variability signals might underestimate these health risks. As Wi-Fi routers emit largely nonstationary signals, understanding and replicating them in controlled experiments is vital for accurate EMF safety assessment.