A diffusion-enhanced SAC agent jointly optimizes UAV trajectory, offloading, and RSMA power allocation, reporting higher energy efficiency than NOMA/FDMA and DRL baselines in a simulated low-altitude MEC system.
Survey on Multi-Access Edge Computing for Internet of Things Realization,
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Energy-Efficient RSMA-enabled Low-altitude MEC Optimization Via Generative AI-enhanced Deep Reinforcement Learning
A diffusion-enhanced SAC agent jointly optimizes UAV trajectory, offloading, and RSMA power allocation, reporting higher energy efficiency than NOMA/FDMA and DRL baselines in a simulated low-altitude MEC system.