A U-GNN diffusion policy trained on primal-dual expert samples generates near-optimal, near-feasible stochastic power allocations for ergodic wireless networks and transfers across QoS and size.
While this trade-off can be partially miti- gated by improved initialization of the dual multipliers [14], online dual updates remain necessary
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Graph Signal Diffusion Models for Wireless Resource Allocation
A U-GNN diffusion policy trained on primal-dual expert samples generates near-optimal, near-feasible stochastic power allocations for ergodic wireless networks and transfers across QoS and size.