Joint Uplink and Downlink EMF Exposure: Performance Analysis and Design Insights

2023 · Mixed · Insufficient evidence

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MixedInsufficient evidencePaper 553

Study snapshot

Publicationmanual · 2023

Study typeengineering

Reported directionMixed

Evidence ratingInsufficient

Abstract

Joint Uplink and Downlink EMF Exposure: Performance Analysis and Design Insights Chen L, Elzanaty A, Kishk MA, Chiaraviglio L, Alouini M -S. Joint Uplink and Downlink EMF Exposure: Performance Analysis and Design Insights. IEEE Transactions on Wireless Communications. 2023. doi: 10.1109/TWC.2023.3244155. Abstract Installing more base stations (BSs) into the existing cellular infrastructure is an essential way to provide greater network capacity and higher data rates in the 5th-generation cellular networks (5G). However, a non-negligible amount of the population is concerned that such network densification will generate a notable increase in exposure to electric and magnetic fields (EMF) over the territory. In this paper, we analyze the downlink, uplink, and joint downlink&uplink exposure induced by the radiation from BSs and personal user equipment (UE), respectively, in terms of the received power density and exposure index. In our analysis, we consider the EMF restrictions set by the regulatory authorities such as the minimum distance between restricted areas (e.g., schools and hospitals) and BSs, and the maximum permitted exposure. Exploiting tools from stochastic geometry, mathematical expressions for the coverage probability and statistical EMF exposure are derived and validated. Tuning the system parameters such as the BS density and the minimum distance from a BS to restricted areas, we show a trade-off between reducing the population’s exposure to EMF and enhancing the network coverage performance. Then, we formulate optimization problems to maximize the performance of the EMF-aware cellular network while ensuring that the EMF exposure complies with the standard regulation limits with high probability. For instance, the exposure from BSs is two orders of magnitude less than the maximum permissible level when the density of BSs is less than 20 BSs/km2. Excerpt In Fig. 16, when R < 100 m, the total exposure is mainly from the BSs in downlink but when R ≥ 100 m, downlink exposure is gradually decreasing and uplink exposure becomes dominant. Namely, there exists an optimal value, e.g., R∗ = 100 m, that minimizes the total exposure for the network with λb = 10−4.5 BSs/m2. Conclusions This paper integrated the EMF restrictions on the coverage performance and exposure analysis and formulated optimization problems on how to design the EMF-aware cellular networks. Particularly, the distribution of BSs was generated by a 13 PHP, accounting for the distance between BSs and restricted areas where the presence of BSs is prohibited. Using tools of stochastic geometry, we analyzed the radiation and coverage probability in terms of downlink and uplink. Furthermore, we investigated the effect of system parameters on the joint downlink&uplink radiation from both BSs and UE through EI. With the aid of numerical results, we showed that even the conservative evaluation of the 95-th percentile of EMF exposure level can still comply with the international guidelines, and the exposure in more typical settings is far below the maximum permissible level. It can also be seen that increasing the baseline density of BSs or decreasing the permitted distance around restricted areas can reduce the exposure from mobile equipment in uplink while exacerbating the exposure from BSs in downlink. Such opposite trend demonstrated the reasonability of taking joint downlink&uplink exposure into account when designing the system parameters for the EMF- aware cellular network. We found that there exists optimal values of the distance between restricted areas and BSs and the baseline density of BSs that minimizes the total exposure under a certain network configuration. ieeexplore.ieee.org

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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 typeengineering

Effect directionmixed

PopulationNot supplied

Sample sizeNot supplied

ExposureNot supplied

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

Using stochastic-geometry-based analysis and numerical validation, the paper reports a trade-off between reducing population EMF exposure and enhancing network coverage when tuning parameters such as base-station density and minimum distance to restricted areas. It reports that, for example, exposure from base stations is two orders of magnitude less than the maximum permissible level when BS density is less than 20 BSs/km^2, and that the 95th percentile exposure can comply with international guidelines under conservative evaluation; it also describes a regime where downlink dominates total exposure for R < 100 m and uplink becomes dominant for R ≥ 100 m, implying an optimal distance (e.g., 100 m in one configuration) minimizing total exposure.

Outcomes measured

Downlink EMF exposure (received power density, exposure index)
Uplink EMF exposure (received power density, exposure index)
Joint downlink & uplink EMF exposure (received power density, exposure index)
Coverage probability
Compliance with regulatory exposure limits (probabilistic/percentile-based)
Trade-off between EMF exposure and network coverage performance
Optimization of EMF-aware cellular network parameters (e.g., BS density, minimum distance to restricted areas)

View raw extracted JSON

{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "base station and personal user equipment (UE)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Downlink EMF exposure (received power density, exposure index)",
    "Uplink EMF exposure (received power density, exposure index)",
    "Joint downlink & uplink EMF exposure (received power density, exposure index)",
    "Coverage probability",
    "Compliance with regulatory exposure limits (probabilistic/percentile-based)",
    "Trade-off between EMF exposure and network coverage performance",
    "Optimization of EMF-aware cellular network parameters (e.g., BS density, minimum distance to restricted areas)"
  ],
  "main_findings": "Using stochastic-geometry-based analysis and numerical validation, the paper reports a trade-off between reducing population EMF exposure and enhancing network coverage when tuning parameters such as base-station density and minimum distance to restricted areas. It reports that, for example, exposure from base stations is two orders of magnitude less than the maximum permissible level when BS density is less than 20 BSs/km^2, and that the 95th percentile exposure can comply with international guidelines under conservative evaluation; it also describes a regime where downlink dominates total exposure for R < 100 m and uplink becomes dominant for R ≥ 100 m, implying an optimal distance (e.g., 100 m in one configuration) minimizing total exposure.",
  "effect_direction": "mixed",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "5G",
    "network densification",
    "base stations",
    "user equipment",
    "uplink exposure",
    "downlink exposure",
    "joint exposure",
    "received power density",
    "exposure index",
    "stochastic geometry",
    "coverage probability",
    "regulatory limits",
    "restricted areas",
    "schools",
    "hospitals",
    "optimization"
  ],
  "suggested_hubs": [
    {
      "slug": "5g-policy",
      "weight": 0.62,
      "reason": "Analyzes 5G network densification with EMF restrictions and compliance with exposure limits."
    },
    {
      "slug": "school-wi-fi",
      "weight": 0.22,
      "reason": "Mentions restricted areas such as schools/hospitals in relation to minimum distance constraints for base stations."
    }
  ]
}

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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/twc.2023.3244155
PubMed: Not supplied

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