A conditional decoupled diffusion model trained on CKMImageNet reconstructs complete channel knowledge maps from partial observations and localizes base stations more accurately than interpolation.
Radiodiff: An effective generative diffusion model for sampling-free dynamic radio map construction,
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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.