A three-stage modular AI framework, pretrain, cluster experts, and learn routing, improves channel extrapolation accuracy and cuts FLOPs in simulated 6G scenarios.
SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework,
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Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective
A three-stage modular AI framework, pretrain, cluster experts, and learn routing, improves channel extrapolation accuracy and cuts FLOPs in simulated 6G scenarios.