2019
Deep Learning Based Online Power Control for Large Energy Harvesting Networks
ICASSP 2019accepted
In this paper, we propose a deep learning based approach to design online power control policies for large EH networks, which are often intractable stochastic control problems. In the proposed approach, for a given EH network, the optimal on-line power control rule is learned by training a deep neur…