Uncertainty-Aware Radio Map Reconstruction Using Diffusion Models With Sparse Noisy Samples
In large-scale wireless systems, reconstructing radio environment maps (REMs) from sparse measurements is critical for resource management and spectrum allocation. However, practical deployments are often confronted with the challenges of coarse environmental information and noise-contaminated sparse measurements. To a...