Model-based interpolation and sparse recovery are compared to a hierarchical Fourier neural operator that learns the mapping from FIM shapes to mmWave channel responses and outperforms baselines in accuracy and pilot efficiency.
MIMO evolution beyond 5G through reconfigurable intelligent surfaces and fluid antenna systems,
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Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators
Model-based interpolation and sparse recovery are compared to a hierarchical Fourier neural operator that learns the mapping from FIM shapes to mmWave channel responses and outperforms baselines in accuracy and pilot efficiency.