Under the Hood of Electromagnetic Field Estimation and Evaluation in 5G Networks

IEEE Access · 2024 · Unclear · Insufficient evidence

← Research stream

UnclearInsufficient evidencePaper 121

Study snapshot

PublicationIEEE Access · 2024

Study typeengineering

Reported directionUnclear

Evidence ratingInsufficient

Abstract

Under the Hood of Electromagnetic Field Estimation and Evaluation in 5G Networks Estrada-Jimenez JC, Pardo E, Roth U, L. Selmane L, Faye S. Under the Hood of Electromagnetic Field Estimation and Evaluation in 5G Networks. IEEE Access, doi: 10.1109/ACCESS.2024.3418301. Abstract The estimation of Electromagnetic Field (EMF) exposure is critical for evaluating the potential health risks associated with wireless network implementation. With the advent of new communication technologies, such as 5G and 6G, new methodologies are required. Indeed, higher frequency ranges are being studied, necessitating an increased number of base stations for service provision. In this paper, we introduce a novel methodology for EMF estimation in 5G mobile networks. We also evaluate common scenarios that mobile network operators frequently encounter, resulting in additional exposure, such as interference, overpropagation, and the presence of other users. Our approach is validated through a combination of simulated values and real data collected from sensors deployed in the field. Finally, a digital twin approach is proposed to combine the simulated values with the real data obtained from radio frequency sensors. The scenario is deployed in Belval, Luxembourg. Open access paper: ieeexplore.ieee.org

Machine Enhanced Logic

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 typeengineering

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureRF

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

The paper introduces a novel methodology for EMF estimation in 5G mobile networks and evaluates scenarios that can lead to additional exposure (interference, overpropagation, other users). The approach is validated using a combination of simulations and real data from RF sensors deployed in the field, and a digital twin approach is proposed to combine simulated and measured data in a deployment in Belval, Luxembourg.

Outcomes measured

EMF exposure estimation methodology for 5G mobile networks
Evaluation of exposure in scenarios with interference, overpropagation, and presence of other users
Validation using simulated values and real sensor data
Digital twin approach combining simulations with field sensor data

View raw extracted JSON

{
  "study_type": "engineering",
  "exposure": {
    "band": "RF",
    "source": "base station",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "EMF exposure estimation methodology for 5G mobile networks",
    "Evaluation of exposure in scenarios with interference, overpropagation, and presence of other users",
    "Validation using simulated values and real sensor data",
    "Digital twin approach combining simulations with field sensor data"
  ],
  "main_findings": "The paper introduces a novel methodology for EMF estimation in 5G mobile networks and evaluates scenarios that can lead to additional exposure (interference, overpropagation, other users). The approach is validated using a combination of simulations and real data from RF sensors deployed in the field, and a digital twin approach is proposed to combine simulated and measured data in a deployment in Belval, Luxembourg.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "electromagnetic field",
    "EMF exposure estimation",
    "5G",
    "6G",
    "base stations",
    "interference",
    "overpropagation",
    "radio frequency sensors",
    "digital twin",
    "simulation",
    "field measurements",
    "Luxembourg",
    "Belval"
  ],
  "suggested_hubs": [
    {
      "slug": "5g-policy",
      "weight": 0.32,
      "reason": "Focuses on EMF exposure estimation and evaluation in 5G networks, relevant to 5G exposure assessment discussions."
    }
  ]
}

AI can be wrong. Always verify against the paper.

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: 10.1109/access.2024.3418301
PubMed: Not supplied

Read the original paper →

Related papers

← Back to the Research Library