A graph-conditioned diffusion model learns to sample near-optimal wireless resource allocations by matching distributions from an expert primal-dual algorithm.
We model the network state (configuration)Has a realization drawn from a stochastic network geometry together with a fading- channel modelD H
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Graph Signal Diffusion Models for Wireless Resource Allocation
A graph-conditioned diffusion model learns to sample near-optimal wireless resource allocations by matching distributions from an expert primal-dual algorithm.