1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
Modeling the Spatial Distributions of Macro Base Stations with Homogeneous Density: Theory and Application to Real Networks
Q. Gontier, C. Tsigros, F. Horlin +3
Stochastic geometry is a highly studied field in telecommunications as in many other scientific fields. In the last ten years in particular, theoretical knowledge has evolved a lot…
On the Impact of Dynamic Beamforming on EMF Exposure and Network Coverage: A Stochastic Geometry Perspective
Quentin Gontier, Charles Wiame, Joe Wiart +4
This paper introduces a new mathematical framework for dynamic beamforming-based cellular networks, grounded in stochastic geometry. The framework is used to study the electromagne…
On the Uplink and Downlink EMF Exposure and Coverage in Dense Cellular Networks: A Stochastic Geometry Approach
Quentin Gontier, Charles Wiame, Joe Wiart +4
Existing studies analyzing electromagnetic field (EMFE) in wireless networks have primarily considered downlink communications. In the uplink, the EMFE caused by the user's smartph…