BioEM 2025

Session

Oral Session 7

OS7

25 Jun 2025, 11:00

La Nef (Couvent des Jacobins)

Conveners

Oral Session 7: Numerical Methods for Accurate Dosimetry and Exposure Assessment

• Joshua Louis Ziegler
• Gernot Schmid

314. Withdrawn

25/06/2025, 11:00

315. Ray-tracing based Electromagnetic Field (EMF) Big Data Generation Method for Compliance Test of 5G Base Station

Dongryul Park

25/06/2025, 11:01

In this paper, we propose a big data generation method that considers real-world 5G base station operational scenarios. The proposed method generates a big data that mimics beamforming, base station deployment conditions, and various operational scenarios. Since the generated dataset reflects real-world conditions, it can be used to train recently developed AI-based prediction techniques for...

316. Model-based Approach to quantify how Reflections from 5G Adaptive Base Stations contribute to EMF Emissions

Mélina Bouldi

25/06/2025, 11:18

Since the emergence of 5G technologies, questions remain regarding a possible increase of the electromagnetic fields - EMF, to some extent due to the use of reflections to reach out of sight users.
Thanks to numerical simulations, a comparison between 4G conventional and 5G adaptive antennas is performed. Realistic adaptive beams are first created by using Uniform Planar Array methodology....

317. SAR-based assessment of the EMF exposure behind a Massive MIMO Radio Base Station

Stanislav Stefanov Zhekov

25/06/2025, 11:36

A numerical assessment of the radio frequency (RF) electromagnetic field (EMF) exposure behind a massive multiple-input multiple-output (mMIMO) radio base station (RBS) and to the side of the RBS from the back surface is performed. The model of the antenna array contains 8 × 8 dual-polarized cavity-backed stacked patch elements and it is mounted on a box representing the RBS chassis. The RF...

318. Evaluating the Over-the-Air Performance of the Antenna in Mobile Terminals using Deep Learning

Tongning Wu

25/06/2025, 11:54

This study introduces a Deep Learning (DL) framework for the efficient evaluation of mobile phone antenna performance , addressing the time-consuming nature of traditional full-wave numerical simulations. The DL model, built on convolutional neural networks, uses the Near-field Electromagnetic Field (NEMF) distribution of a mobile phone antenna in free space to predict the Effective Isotropic...

319. Numerical Assessment of Human Near-Field Exposure in the EU GOLIAT project: A Multi-frequency Analysis across Different Anatomical Models

Silvia Gallucci

25/06/2025, 12:12

This study, conducted within the EU GOLIAT project framework, presents the numerical dosimetric assessment of near-field exposure emitted by personal devices across eight frequencies (from 700 MHz to 5800 MHz). The investigation employed four anatomically detailed virtual human models representing diverse age groups and anatomical characteristics. Using FDTD methodology, we analyzed PIFA/IFA...