Proposes applying graph signal diffusion models to optimize wireless resource allocation. Combines diffusion-based machine learning with spectrum and power allocation in wireless networks.
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Graph Signal Diffusion Models for Wireless Resource Allocation
Diffusion-based generative models, proven in computer vision, are now being applied to wireless spectrum and power allocation—suggesting a convergence between recent ML advances and classic network optimization.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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