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.
Dynamic channel modeling of fluid antenna systems in UA V com - munications,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IT 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.