Comprehensive Measurement-Based Assessment of Downlink RF-EMF Exposure in Urban Environments: Multi-Method Analysis and Intercomparison.

Bioelectromagnetics · 2025 · Unclear · Moderate evidence

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UnclearModerate evidencePaper 5872

Study snapshot

PublicationBioelectromagnetics · 2025

Study typeexposure_assessment

Reported directionUnclear

Evidence ratingModerate

Abstract

This paper presents a comprehensive measurement-based assessment of radio-frequency (RF) electromagnetic field (EMF) exposure level in a French city. Three types of assessment methods are used to collect measurement data: drive test (DT), spot measurements, and sensor networks. The DT measurements were conducted by a portable spectrum analyzer, i.e., Tektronix RSA 306B, connected to a 3-axis antenna mounted on the roof of the vehicle. DT system continuously recorded frequency-dependent electric field (E-field) values on a pre-defined outdoor route. The spot measurements were done in the same region, covered by DT, with both broadband and frequency-selective systems. Additionally, 19 sensors were installed on streetlamps in the same part of the city to measure the broadband E-field level. The overall statistical analysis on raw data shows good agreement on RF-EMF exposure level from three types of measurements. Then a distance-based moving average method was carried out to remove the random noise in the DT data, where the optimized window size is explored using Kolmogorov-Smirnov test. The smoothed DT data show a good correlation with nearby spot measurement values, as well as with base station antenna (BSA) density. Specific fifth-generation (5G) spot measurements, performed with and without traffic-attracting downloads, demonstrate the impact of beamforming on exposure levels in 5G new radio (NR) bands. Then spot measurements were used to build the exposure map using the kriging method, where the kriging prediction from the trained model is further compared with DT. Furthermore, the temporal variations observed in the sensor network were analyzed in relation to distance from the nearest BSA, revealing an inverse proportional relationship between E-field level and proximity to the nearest BSA. This study shows good reliability in assessing the RF-EMF exposure level using different systems. The advantages and limitations of different systems are also demonstrated by performing the intercomparison between data sets.

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AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeexposure_assessment

Effect directionunclear

PopulationNot supplied

Sample size19

ExposureRF

Evidence strengthModerateConfidence: 78% · Peer reviewed: yes

Main findings

Across a French city, drive-test, spot, and sensor-network measurements showed good agreement in assessed RF-EMF exposure levels. Smoothed drive-test data correlated with nearby spot measurements and with base station antenna density. 5G spot measurements with and without traffic-attracting downloads indicated that beamforming impacts exposure levels in 5G NR bands; sensor-network temporal variations showed an inverse proportional relationship between E-field level and proximity to the nearest base station antenna.

Outcomes measured

Outdoor RF-EMF electric field (E-field) levels (broadband and frequency-selective)
Agreement/intercomparison between drive test, spot measurements, and sensor network measurements
Correlation of smoothed drive-test E-field with nearby spot measurements
Association of E-field with base station antenna (BSA) density
Impact of 5G beamforming (with vs without traffic-attracting downloads) on exposure levels in 5G NR bands
Exposure mapping via kriging and comparison with drive test
Temporal variation of sensor network E-field vs distance to nearest BSA

Limitations

Frequency (MHz) range and specific bands measured are not specified in the abstract
No quantitative exposure levels or effect sizes are provided in the abstract
Geographic scope limited to one French city and an outdoor route/area
Details of spot-measurement locations, timing, and sampling scheme are not provided in the abstract

View raw extracted JSON

{
  "study_type": "exposure_assessment",
  "exposure": {
    "band": "RF",
    "source": "base station",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": 19,
  "outcomes": [
    "Outdoor RF-EMF electric field (E-field) levels (broadband and frequency-selective)",
    "Agreement/intercomparison between drive test, spot measurements, and sensor network measurements",
    "Correlation of smoothed drive-test E-field with nearby spot measurements",
    "Association of E-field with base station antenna (BSA) density",
    "Impact of 5G beamforming (with vs without traffic-attracting downloads) on exposure levels in 5G NR bands",
    "Exposure mapping via kriging and comparison with drive test",
    "Temporal variation of sensor network E-field vs distance to nearest BSA"
  ],
  "main_findings": "Across a French city, drive-test, spot, and sensor-network measurements showed good agreement in assessed RF-EMF exposure levels. Smoothed drive-test data correlated with nearby spot measurements and with base station antenna density. 5G spot measurements with and without traffic-attracting downloads indicated that beamforming impacts exposure levels in 5G NR bands; sensor-network temporal variations showed an inverse proportional relationship between E-field level and proximity to the nearest base station antenna.",
  "effect_direction": "unclear",
  "limitations": [
    "Frequency (MHz) range and specific bands measured are not specified in the abstract",
    "No quantitative exposure levels or effect sizes are provided in the abstract",
    "Geographic scope limited to one French city and an outdoor route/area",
    "Details of spot-measurement locations, timing, and sampling scheme are not provided in the abstract"
  ],
  "evidence_strength": "moderate",
  "confidence": 0.78,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "RF-EMF",
    "exposure assessment",
    "drive test",
    "spot measurements",
    "sensor network",
    "spectrum analyzer",
    "3-axis antenna",
    "kriging",
    "beamforming",
    "5G NR",
    "base station antenna density",
    "urban environment",
    "France"
  ],
  "suggested_hubs": [
    {
      "slug": "5g-policy",
      "weight": 0.44,
      "reason": "Includes specific 5G NR spot measurements assessing beamforming-related exposure changes."
    }
  ]
}

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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1002/bem.70033
PubMed: 41230687

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