This review summarizes calibration of digital twins via real measurements and sim-to-real gap-aware training using Bayesian learning or prediction-powered inference to handle discrepancies between synthetic and real telecom data.
Cross-prediction-powered inference,
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How to Bridge the Sim-to-Real Gap in Digital Twin-Aided Telecommunication Networks
This review summarizes calibration of digital twins via real measurements and sim-to-real gap-aware training using Bayesian learning or prediction-powered inference to handle discrepancies between synthetic and real telecom data.