Tesi etd-01162026-171738 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
LOPRETE, SALVATORE
URN
etd-01162026-171738
Titolo
Over-The-Air Measurements of 5G NR Signals for Exposure Assessment and Safety
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA DELLE TELECOMUNICAZIONI
Relatori
relatore Prof. Nepa, Paolo
relatore Prof. Michel, Andrea
relatore Dott. Silvi, Alberto Maria
relatore Prof. Michel, Andrea
relatore Dott. Silvi, Alberto Maria
Parole chiave
- 5G NR
- controlled measurements
- exposure limit
- OTA measurements
- safety
Data inizio appello
24/02/2026
Consultabilità
Non consultabile
Data di rilascio
24/02/2096
Riassunto
This thesis presents an experimental study on the measurement and analysis of 5G New Radio (NR) signals, combining controlled laboratory experiments with real on-air measurements. The work begins with a detailed characterization of 5G NR signals generated in laboratory conditions, allowing the validation of measurement techniques and the understanding of key signal features such as synchronization signal blocks (SSBs), time-division duplexing behavior, and power distribution.
Subsequently, on-air measurement campaigns were conducted using a portable spectrum analyzer in different real environments, including urban and semi-urban scenarios. These measurements focused on evaluating electromagnetic field levels, channel power, time-domain behavior, and beamforming characteristics of active 5G base stations. Field strength was estimated by converting measured channel power values into electric field levels, enabling a comparison with regulatory exposure limits.
Finally, the thesis introduces an autonomous post-processing approach based on IQ data acquisition and MATLAB analysis. From a single IQ capture, spectrograms are reconstructed and OFDM symbol boundaries are identified through correlation-based techniques, enabling the detection of SSB timing and structure without relying on proprietary decoding tools. Overall, the results demonstrate the consistency of laboratory and on-air measurements and confirm that the observed exposure levels remain well below critical thresholds.
Subsequently, on-air measurement campaigns were conducted using a portable spectrum analyzer in different real environments, including urban and semi-urban scenarios. These measurements focused on evaluating electromagnetic field levels, channel power, time-domain behavior, and beamforming characteristics of active 5G base stations. Field strength was estimated by converting measured channel power values into electric field levels, enabling a comparison with regulatory exposure limits.
Finally, the thesis introduces an autonomous post-processing approach based on IQ data acquisition and MATLAB analysis. From a single IQ capture, spectrograms are reconstructed and OFDM symbol boundaries are identified through correlation-based techniques, enabling the detection of SSB timing and structure without relying on proprietary decoding tools. Overall, the results demonstrate the consistency of laboratory and on-air measurements and confirm that the observed exposure levels remain well below critical thresholds.
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