Anchor-CKM reconstructs channel knowledge maps from sparse irregular measurements by constructing a pilot-supported representation with partial convolutions followed by layout-conditioned Fourier refinement, achieving 0.79-1.33 dB RMSE reduction versus baselines on DeepMIMO scenarios.
A recent survey on radio map estimation methods for wireless networks
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Channel Knowledge Map Reconstruction From Sparse Measurements via Pilot-Anchored Layout-Conditioned Fourier Refinement
Anchor-CKM reconstructs channel knowledge maps from sparse irregular measurements by constructing a pilot-supported representation with partial convolutions followed by layout-conditioned Fourier refinement, achieving 0.79-1.33 dB RMSE reduction versus baselines on DeepMIMO scenarios.
- A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness