# Definition and Validation of an Exposure Measurement Method for a Typical Load of a Base Station

**Authors:** Anna‐Malin Schiffarth, Tam Julian Ta, Christian Bornkessel, Lisa‐Marie Schilling, Matthias Hein, Dirk Heberling

PMC · DOI: 10.1002/bem.70029 · Bioelectromagnetics · 2025-11-01

## TL;DR

This paper introduces a new method to measure typical base station exposure in mobile networks, offering a realistic alternative to theoretical maximum exposure assessments.

## Contribution

A reproducible method for measuring base station exposure under typical load conditions using defined data rates.

## Key findings

- The method reliably measures exposure across different times of day and base station loads.
- Averaging over 30 sweeps provides consistent and reproducible exposure results.
- Using iPerf to maintain constant data rates closely matches real-world application exposure levels.

## Abstract

In the context of risk communication in mobile radio, a discussion has emerged whether exposure at common load of a base station should be presented in addition to the theoretical maximum, especially with 5G massive‐MIMO. However, a reproducible measurement method for instantaneous exposure independent of the utilization of the cell has yet to be developed. To fill this gap, 10 mobile phone use cases were identified, the corresponding data rates were measured and categorized into low (20 Mbps), medium (200 Mbps), and high (600 Mbps) data rates to generate a typical base station load. A measurement method was developed, using iPerf on a user equipment to generate the data rates at a measurement point, while a channel power measurement is used to determine the exposure of all mobile radio services installed. The method was validated at four base stations, considering various factors such as reproducibility in relation to the number of users in the cell, averaging time, and application buffering. The results show the reliability of the method across different times of day and base station loads and that averaging over 30 sweeps provides reproducible exposure results. Consequently, this study presents a validated approach for measuring typical instantaneous exposure in real‐world mobile network conditions.

A novel method was developed to measure instantaneous exposure at typical base station loads using three representative data rates (low, medium, and high), providing a more realistic assessment of mobile phone exposure beyond maximum load conditions.The method was shown to be effective at different network load conditions and times of day, with consistent results over varying numbers of users.The study showed that maintaining a constant data rate through iPerf closely matched the exposure levels of actual applications, demonstrating the applicability of the method for risk communication in mobile communications.

A novel method was developed to measure instantaneous exposure at typical base station loads using three representative data rates (low, medium, and high), providing a more realistic assessment of mobile phone exposure beyond maximum load conditions.

The method was shown to be effective at different network load conditions and times of day, with consistent results over varying numbers of users.

The study showed that maintaining a constant data rate through iPerf closely matched the exposure levels of actual applications, demonstrating the applicability of the method for risk communication in mobile communications.

## Full-text entities

- **Genes:** LNPK (lunapark, ER junction formation factor) [NCBI Gene 80856] {aka KIAA1715, LNP, LNP1, NEDEHCC, Ul, ulnaless}
- **Chemicals:** NR (MESH:C018613), 4G (-), M2 (MESH:C034584), polystyrene (MESH:D011137)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12579388/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC12579388/full.md

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Source: https://tomesphere.com/paper/PMC12579388