AINeutralarXiv – CS AI · 5h ago6/10
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DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming
DIFFRACT is a new neuralized framework that combines deep learning with wireless network optimization through differentiable programming, enabling distributed resource management across satellite and terrestrial networks. The approach maps interference management algorithms into neural network architectures, allowing real-time adaptation to dynamic network conditions with scalable utility maximization.