Statistical Analysis of RF-EMF Exposure Induced by Cellular Wireless Networks in Public Transportation Facilities of the Paris Regionx

Authors: Y. Zhang et al.

Year: 2024

Category: Wireless Communication Research

Journal: IEEE Access

Institution: IEEE

DOI: 10.1109/ACCESS.2024.3410090

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10549999&isnumber=10380310

Abstract

Abstract Summary

Overview

This research was conducted as part of the European SEAWave project and the French Beyond5G project, focusing on the RF-EMF exposure from wireless networks in public transportation within the Paris area.

Methodology

  • Device Used: Measurements were made with a personal exposimeter, MVG EMF Spy, noted for its compactness and user-friendliness.
  • Scope: Covered cellular bands of 2G, 3G, 4G, 5G and Wi-Fi across various public transport modes such as RER, metro, tram, bus, and train.

Findings

Analysis was performed on data by frequency band, transport type, and environment. Key statistical metrics like mean, standard deviation, skewness, and kurtosis were computed for each dataset.

Significant dispersion in measurements was observed across all bands, with detailed average values presented per band. Additionally, data was clustered using the K-means algorithm, identifying three distinct groups reflecting varying mean values and variances.

Conclusion

The study effectively mapped RF-EMF exposures across different transport systems and environments, providing insights into the extent of exposure and its variability.

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