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.
3GPP TR 38.901 V16.1.0 - Study on channel model for freq uencies from 0.5 to 100 GHz,
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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.