3 papers
cs.IT2026
Clipped Affine Policy: Low-Complexity Near-Optimal Online Power Control for Energy Harvesting Communications over Fading Channels
Hao Wu, Shengtian Yang, Huiguo Gao +3
This paper studies online power control for battery-limited point-to-point energy harvesting communications over slow block-fading channels. A linear-policy-based approximation is…
eess.SP2026
GPINND: A deep-learning-based state of health estimation for Lithium-ion battery
Yuzhu Lei, Guanding Yu
Electrochemical models offer superior interpretability and reliability for battery degradation diagnosis. However, the high computational cost of iterative parameter identification…
eess.SP2025
A multi-scale lithium-ion battery capacity prediction using mixture of experts and patch-based MLP
Yuzhu Lei, Guanding Yu
Lithium-ion battery health management has become increasingly important as the application of batteries expands. Precise forecasting of capacity degradation is critical for ensurin…