Dominance of Smartphone Exposure in 5G Mobile Networks

IEEE Transactions on Mobile Computing · 2024 · Unclear · Low evidence

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UnclearLow evidencePaper 199

Study snapshot

PublicationIEEE Transactions on Mobile Computing · 2024

Study typeexposure_assessment

Reported directionUnclear

Evidence ratingLow

Abstract

Dominance of Smartphone Exposure in 5G Mobile Networks Chiaraviglio L, Lodovisi C, Bartoletti S, Elzanaty A, M. Slim-Alouini M. Dominance of Smartphone Exposure in 5G Mobile Networks. IEEE Transactions on Mobile Computing, 23(3):2284-2302, 2024. doi: 10.1109/TMC.2023.3252662. Abstract The deployment of 5G networks is sometimes questioned due to the impact of ElectroMagnetic Field (EMF) generated by Radio Base Station (RBS) on users. The goal of this work is to analyze such issue from a novel perspective, by comparing RBS EMF against exposure generated by 5G smartphones in commercial deployments. The measurement of exposure from 5G is hampered by several implementation aspects, such as dual connectivity between 4G and 5G, spectrum fragmentation, and carrier aggregation. To face such issues, we deploy a novel framework, called 5G-EA, tailored to the assessment of smartphone and RBS exposure through an innovative measurement algorithm, able to remotely control a programmable spectrum analyzer. Results, obtained in both outdoor and indoor locations, reveal that smartphone exposure (upon generation of uplink traffic) dominates over the RBS one. Moreover, Line-of-Sight locations experience a reduction of around one order of magnitude on the overall exposure compared to Non-Line-of-Sight ones. In addition, 5G exposure always represents a small share (up to 38%) compared to the total one radiated by the smartphone. Excerpt Our results demonstrate that the smartphone exposure dominates over the RBS one upon generation of UL traffic, especially when the UE is in Non-Line-of-Sight (NLOS) with respect to the RBS. On the contrary, both smartphone exposure and total EMF are reduced up to one order of magnitude when the smartphone UL traffic traverses a radio link in Line-of-Sight (LOS) with respect to the serving RBS. Interestingly, the exploitation of dual connectivity feature between 4G and 5G reveals that only a small smartphone exposure share (at most equal to 38%) is due to 5G, while the largest exposure levels are derived from the carrier aggregation over 4G bands. Moreover, both total and smartphone exposure- per-bit metrics are inversely proportional to the maximum amount of UL traffic generated by the smartphone in the measurement location, thus suggesting that innovative exposure estimators, based on the reporting of maximum UL traffic from the smartphone, can be designed. Open access paper: doi.ieeecomputersociety.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 typeexposure_assessment

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureRF

Evidence strengthLowConfidence: 74% · Peer reviewed: yes

Main findings

Using a measurement framework (5G-EA) in outdoor and indoor locations, results indicate that smartphone exposure during uplink traffic dominates over exposure from the radio base station. Overall exposure is reported to be reduced by around one order of magnitude in LOS compared to NLOS locations. The 5G component is reported as a small share (up to 38%) of total smartphone-radiated exposure, with larger exposure levels attributed to carrier aggregation over 4G bands.

Outcomes measured

Comparative EMF exposure from 5G smartphones vs radio base stations in commercial deployments
Overall exposure differences in Line-of-Sight (LOS) vs Non-Line-of-Sight (NLOS) conditions
Share of 5G exposure relative to total smartphone-radiated exposure (including 4G carrier aggregation)
Exposure-per-bit metrics in relation to uplink (UL) traffic volume

Limitations

No sample size or number of measurement locations reported in the provided abstract/excerpt
Frequencies, power levels, and specific exposure metrics/units are not specified in the provided abstract/excerpt
Findings are limited to the described measurement framework and the tested indoor/outdoor commercial deployment conditions
Focuses on exposure comparison/estimation rather than health outcomes

View raw extracted JSON

{
  "study_type": "exposure_assessment",
  "exposure": {
    "band": "RF",
    "source": "5G smartphone and radio base station (RBS)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Comparative EMF exposure from 5G smartphones vs radio base stations in commercial deployments",
    "Overall exposure differences in Line-of-Sight (LOS) vs Non-Line-of-Sight (NLOS) conditions",
    "Share of 5G exposure relative to total smartphone-radiated exposure (including 4G carrier aggregation)",
    "Exposure-per-bit metrics in relation to uplink (UL) traffic volume"
  ],
  "main_findings": "Using a measurement framework (5G-EA) in outdoor and indoor locations, results indicate that smartphone exposure during uplink traffic dominates over exposure from the radio base station. Overall exposure is reported to be reduced by around one order of magnitude in LOS compared to NLOS locations. The 5G component is reported as a small share (up to 38%) of total smartphone-radiated exposure, with larger exposure levels attributed to carrier aggregation over 4G bands.",
  "effect_direction": "unclear",
  "limitations": [
    "No sample size or number of measurement locations reported in the provided abstract/excerpt",
    "Frequencies, power levels, and specific exposure metrics/units are not specified in the provided abstract/excerpt",
    "Findings are limited to the described measurement framework and the tested indoor/outdoor commercial deployment conditions",
    "Focuses on exposure comparison/estimation rather than health outcomes"
  ],
  "evidence_strength": "low",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "5G",
    "EMF",
    "exposure assessment",
    "smartphone exposure",
    "radio base station",
    "uplink traffic",
    "dual connectivity",
    "carrier aggregation",
    "LOS",
    "NLOS",
    "spectrum analyzer",
    "commercial deployments"
  ],
  "suggested_hubs": [
    {
      "slug": "5g-policy",
      "weight": 0.6,
      "reason": "Study assesses EMF exposure in 5G commercial deployments and compares smartphone vs base-station contributions."
    }
  ]
}

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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: 10.1109/tmc.2023.3252662
PubMed: Not supplied

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