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.
Comparison of ray tracing simulations and millimeter wave channel sounding mea- surements,
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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.