Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective
A configurable AI-driven framework to achieve generalizable and computational efficient channel extrapolation from a modular perspective is proposed, which assumes that CSI correlations can be captured by a small number of specialized functional modules (experts) that are activated differently across scenarios.