10 citations · 12 across the 4 of their papers we have counts for
5 papers
UrbanEMF: City-Scale EMF Mapping over a Continuous Urban Area with Real-World Base-Station Deployment
Shuangning Li, Chenxin Luo, Shanshan Wang +3
Electromagnetic Fields (EMF) mapping is essential for wireless propagation modeling and are fundamental to a wide range of applications, including spectrum awareness, network plann…
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…
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…
Joint Metrics for EMF Exposure and Coverage in Real-World Homogeneous and Inhomogeneous Cellular Networks
Quentin Gontier, Charles Wiame, Shanshan Wang +6
This paper evaluates the downlink performance of cellular networks in terms of coverage and electromagnetic field exposure (EMFE), in the framework of stochastic geometry. The mode…