A deep learning model decomposes and reconstructs spatial correlation maps from sparse samples using attention and multi-scale fusion, reporting cosine similarity above 0.8 on the CKMImageNet dataset.
Channel Estimation for TDD/FDD Massive MIMO Systems With Channel Covariance Computing,
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CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning
A deep learning model decomposes and reconstructs spatial correlation maps from sparse samples using attention and multi-scale fusion, reporting cosine similarity above 0.8 on the CKMImageNet dataset.