Speaker
Description
We are developing an AI and big data-based 5G base station EMF prediction method to manage and evaluate an EMF base station, which is expected to increase exponentially after 5G, and to relieve public anxiety about EMF. To secure the reliability of EMF prediction technology through AI learning, it is important to confirm the accuracy of the EMF measurement data of 5G base stations and information such as the output power and radiation patterns of the reference signal (SSB) specification.
Therefore, a drone measurement equipment capable of measuring EMF in space was developed to verify the EMF radiation patterns and strength of the 5G reference signal. In this paper, a drone especially developed for this purpose was used to verify the EMF radiation pattern and strength of a commercial 5G base station. This confirmed the possibility of using the drone measurement equipment in the EMF measurement and evaluation regulation, and the results were presented.
