3 papers
eess.SP2026
Phy2-ExposNet: A Physics-Informed Neural Network for EMF Exposure Mapping in Complex Urban Environments
Shuangning Li, Yarui Zhang, Shanshan Wang +1
Accurate electromagnetic field (EMF) exposure mapping is critical for wireless network planning, environmental monitoring, and the deployment of next generation communication syste…
cs.IT2026
Evaluation of EMF Exposure to Throughput Ratio for Sustainable 5G Networks
Dinh Long Trinh, Shanshan Wang, Joe Wiart
This paper builds stochastic geometry frameworks for analyzing downlink electromagnetic field (EMF) exposure and efficiency in 5G multi-connectivity networks, using 5G E-UTRAN New…
eess.SP2025
ExposNet: A Deep Learning Framework for EMF Exposure Prediction in Complex Urban Environments
Yarui Zhang, Shanshan Wang, Joe Wiart
The prediction of the electric field (E-field) plays a crucial role in monitoring radiofrequency electromagnetic field (RF-EMF) exposure induced by cellular networks. In this paper…