NEMESI: 5G Non-invasive EMF Multi-user Exposure Surveillance and Inspection

Surveillance of electromagnetic field exposure in 5G networks is crucial for regulatory compliance but currently relies on intrusive and expensive active traffic injection. We propose a hardware-agnostic, automated, and non-invasive framework for exposure assessment in real-world deployments. By leveraging a blind Downlink Control Information (DCI) decoding mechanism, our method extracts scheduling information to isolate user-specific Physical Downlink Shared Channel (PDSCH) resources. Experimental validation in frequency range (FR)1 and FR2 demonstrates that this approach enables a procedural mapping of radiated power while obviating the need for full carrier bandwidth saturation. By abstracting the acquisition hardware as an IQ sample provider, the pipeline is designed to operate across heterogeneous receivers, including low-cost Software-Defined Radios (SDRs). While absolute metrological accuracy remains dependent on specific device calibration, this methodology supports a streamlined, user-specific Maximum-Power Extrapolation (MPE) analysis workflow at the signal-processing level that is independent of network traffic conditions.