Speaker
Francesca Lodato
Description
In this paper, we present a hybrid multi-physics approach for optimization of reflectivity-based electromagnetic (EM) phantoms for EM dosimetry at mm-wave frequencies. Such phantoms reproduce the reflection coefficient of human skin at frequencies allocated for the next-generation mm-wave 5G networks and simultaneously allow effective conversion of the absorbed power into heat, which can be measured remotely to retrieve information related to the user exposure. The analytical formulation and main challenges in the design process of such phantoms are discussed, pointing out key parameters affecting the phantom EM performance and the EM-to-heat conversion efficiency.
