AI RESEARCH

Digital Twin-Assisted Measurement Design and Channel Statistics Prediction

arXiv CS.LG

ArXi:2603.23787v1 Announce Type: cross Prediction of wireless channels and their statistics is a fundamental procedure for ensuring performance guarantees in wireless systems. Statistical radio maps powered by Gaussian processes (GPs) offer flexible, non-parametric frameworks, but their performance depends critically on the choice of mean and covariance functions. These are typically learned from dense measurements without exploiting environmental geometry.