On the Design of Tailored Neural Networks for Energy Harvesting Broadcast Channels: A Reinforcement Learning Approach

On the Design of Tailored Neural Networks for Energy Harvesting Broadcast Channels: A Reinforcement Learning Approach

In this paper, we consider a power allocation optimization technique for a time-varying fading broadcast channel in energy harvesting communication systems, in which a transmitter with a rechargeable battery transmits messages to receivers using the harvested energy. We first prove that the optimal...

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Bibliographic Details
Main Authors: Heasung Kim, Jungtai Kim, Wonjae Shin, Heecheol Yang, Nayoung Lee, Seong Jin Kim, Jungwoo Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Energy harvesting communications
power allocation
broadcast channel
reinforcement learning
machine learning
policy gradient
Online Access:https://ieeexplore.ieee.org/document/9205303/

Internet

https://ieeexplore.ieee.org/document/9205303/

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