Statistical Characterization and Modeling of Indoor RF-EMF Down-Link Exposure

Authors: Mulugeta BA, Wang S, Ben Chikha W, Liu J, Roblin C, Wiart J

Year: 2023 Mar 29

Category: Electromagnetic Field Research

Journal: Sensors (Basel)

DOI: 10.3390/s23073583

URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099088/

Abstract

Overview

With the proliferating utilization of wireless communication, the need to assess radio-frequency electromagnetic field (RF-EMF) exposures in indoor settings is heightened due to growing health concerns. The abstract discusses the complexities involved in assessing such exposures in environments like homes, offices, and vehicles, where individuals spend a majority of their time.

Methodology

  • Approach: Employing a statistical model to represent the total RF-EMF exposure from various cellular bands within a building.
  • Locations: Conducted within three buildings, closely located to two base stations supporting multiple cellular technologies.
  • Validation: Utilization of one-sample Kolmogorov-Smirnov test and leave-one-out cross-validation to validate results.

Findings

The investigation highlights that RF-EMF down-link (DL) exposure across different floors of a building typically adheres to a Gaussian distribution, largely influenced by the surrounding indoor environment. Despite proximity to base stations, recorded exposure levels remained significantly below the ICNIRP reference levels, indicating minimal risk under the current conditions.

Conclusion

The study provides crucial insights into the statistical nature of RF-EMF exposure within indoor settings and purports the use of data in developing a comprehensive monitoring system. Such systems could escalate understanding and management of RF-EMF exposure risks, reflecting it as a notable step towards safeguarding public health.

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