时间：2026年6月15日，星期一，14：00-15：00

地点：无线谷A1楼 1319

Abstract:We analyzed downlink electromagnetic field (EMF) exposure and efficiency in 5G multi-connectivity networks, using base station (BS) from Paris as a representative use case. The Poisson point process (PPP) and the beta-Ginibre point process (beta-GPP) are used to model the spatial distribution of base stations, where beta-GPP effectively captures the repulsion observed in real deployments. We derive tractable expressions for the distribution of EMF exposure and validate the framework through Monte Carlo simulations. In addition to conventional metrics, we introduce the Radiated Energy per Bit Transmitted in the Downlink (REBT-DL), which accounts for throughput and received power. Results show that network configuration significantly affect exposure and REBTDL, highlighting the relevance of energy-aware deployment strategies and confirming the proposed approach as a comprehensive tool for sustainable network evaluation.

Bio: Shanshan WANG is currently an assistant professor in Telecom Paris, Institut Polytechnique de Paris, holder of Chair C2M in department of Communications and electronics (COMELEC). She received the Ph.D. degree from L2S, Paris-Saclay University, France, in 2019. She received Master degree (with Distinction) from University of Bristol in 2014. From 2014 to 2015, she was a research engineer with the Toshiba Telecommunication Laboratory, UK.  After PhD, she worked as postdoctoral researcher in Télécom Paris, on the topic of EMF exposure mapping using AI. From 2023 to 2024, she was assistant professor in the ETIS lab, CY Cergy Paris University. She has participated several European Horizon projects, such as, 5GWireless, SEAWave, Goliat. She received Marie-Curie PhD fellowship in 2015 in CNRS France. Her research interests include EMF exposure characterization, radio mapping, stochastic geometry and system-level modeling of wireless networks, machine learning. She is also an expert in IEC and CENELEC TC106x.