5G Base Station Electromagnetic Field Strength Estimation
Therefore, in this paper, we propose a 5G BS EMF evaluation method using deep learning (DL) as an alternative to traditional measurement-based evaluation. We selects a U-net that can
Spectrum of 5G signals with 0 % (purple), 10 % (yellow), 50 % (green), and 100 % (blue) load. 4. Measurement setup and environment The experimental part of the research consists of a measurement campaign to assess the human exposure to EMF in the surroundings of an active 5G base station.
This agrees with measurements done in other countries whose authors conclude that the exposure to 5G signals is limited, , , but this does not assure the base station compliance as full load situation should be considered for such assessment. It also shows that the increase in the EMF field is due to the induced data traffic.
From the same measurement outcome, we can also conclude that the actual bandwidth of 5G base station was 60 MHz. This information will be relevant for extrapolating SSB measurement results.
Fast variation of the user load and beamforming techniques may cause large fluctuations of 5G base stations field level. They may be underestimated, resulting in compliance of base stations not fitting the requirements. Apparently, broadband field meters would not be adequate for measuring such environments.
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