Clipped Affine Policy: Low-Complexity Near-Optimal Online Power Control for Energy Harvesting Communications over Fading Channels
The paper develops low-complexity power control policies for battery-limited energy harvesting communications over slow fading channels. It approximates the optimal value function using linear policies to create two parameterized clipped affine policies—an optimistic and a robust policy. These lead to adaptive reinforcement learning schemes that outperform generic model-free methods by leveraging problem structure.