Monte-Carlo Method for EMF Exposure Distribution Assessment in 5G Base Station

This paper proposes a studied case to assess the EMF (electromagnetic field) exposure distribution for a specific deployment scenario. This developed novel approach based on a Monte-Carlo (MC) approach took into account the non-uniform user distribution and its corresponding projection to provide a realistic EMF exposure assessment for a particular coverage area of the 5G base station. A suburban area with relatively complex user distribution was selected to study the exposure distribution by the proposed method. The simulated results derived by the MC method show that considering the user distribution will reduce the user-related E-field exposure distribution under the given configuration by more than one half when compared to the traditional conservative deterministic approach. Moreover, the MC method demonstrates a more detailed exposure distribution feature corresponding to the specific active user distribution. It presents a reliable basis for power control when considering the trade-off between exposure evaluation and service quality.

Automated summary

This paper proposes a novel approach based on the Monte-Carlo method to assess the distribution of electromagnetic field exposure in a specific deployment scenario. By considering the non-uniform user distribution, the realistic assessment of EMF exposure in a particular coverage area of a 5G base station is achieved. The simulated results demonstrate that considering the user distribution significantly reduces the exposure distribution and provides a reliable basis for exposure evaluation and service quality control.