DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming 事件

DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming arXiv:2606.07114v1 Announce Type: cross Abstract: Next-generation wireless networks, including satellite-to-Open RAN systems, demand agile and intelligent resource management capable of handling dynamic multi-user interference under stochastic quality of service constraints. This paper introduces DIFFRACT, a neuralized utility maximization framework that leverages differentiable programming to integrat