Deep Learning Based Online Power Control for Large Energy Harvesting Networks

@article{Sharma2019DeepLB,
  title={Deep Learning Based Online Power Control for Large Energy Harvesting Networks},
  author={Mohit K. Sharma and Alessio Zappone and M{\'e}rouane Debbah and Mohamad Assaad},
  journal={ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2019},
  pages={8429-8433}
}
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 neural network (DNN), using the solution of offline policy design problem. Under the proposed scheme, in a given time slot, the transmit power is obtained by feeding the current system state to the… CONTINUE READING

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