FP-ANet uses fixed-point theory and dual-attention to achieve better channel estimation accuracy than prior methods in hybrid-field THz UM-MIMO while keeping similar computational cost.
Ddpg- driven deep-unfolding with adaptive depth for channel esti- mation with sparse bayesian learning
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FP-ANeT: A Fixed-Point Attention Network for Hybrid-Field THz Ultra-massive MIMO Channel Estimation
FP-ANet uses fixed-point theory and dual-attention to achieve better channel estimation accuracy than prior methods in hybrid-field THz UM-MIMO while keeping similar computational cost.