A conditional denoising diffusion model generates radio maps from sparse RSS fragments or transmitter coordinates, outperforming cGAN and pix2pix in synthetic indoor and outdoor scenarios.
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Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks
A conditional denoising diffusion model generates radio maps from sparse RSS fragments or transmitter coordinates, outperforming cGAN and pix2pix in synthetic indoor and outdoor scenarios.