Speaker
Description
Over the past few years, RF-EMF exposure assessment near telecom base stations has rapidly advanced from traditional one-time spot measurements and average exposure estimates to long-term monitoring using distributed sensor networks, user-centric measurement campaigns with on-body and on-device sensors, and computational modeling that integrates heterogeneous data sources. Whereas legacy networks broadcast signals sector-wide, 5G’s user-focused beamforming requires exposure assessments to account for dynamic resource utilization and spatiotemporal signal variations. Innovative tools now enable detailed, real-world characterization of both environmental (far-field) and auto-induced (near-field) exposures. Looking ahead, the field is moving toward dense, fast-sampling sensor deployments, seamless integration of measurement and infrastructure data, and advanced modeling techniques to provide high-resolution spatiotemporal exposure profiles. These developments support both public risk communication and scientific research, with ongoing efforts to harmonize methodologies across Europe and to address emerging challenges such as the ever-growing number of wireless devices, the introduction of new frequency bands, and the potential effects on non-human organisms.”
