A conditional decoupled diffusion model trained on CKMImageNet reconstructs complete channel knowledge maps from partial observations and localizes base stations more accurately than interpolation.
Analog beamforming in MIMO communications with phase shift networks and online channel estimation,
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Generative CKM Construction using Partially Observed Data with Diffusion Model
A conditional decoupled diffusion model trained on CKMImageNet reconstructs complete channel knowledge maps from partial observations and localizes base stations more accurately than interpolation.