Deep Reinforcement Learning-Based Access Control for Buffer-Aided Relaying Systems With Energy Harvesting

Deep Reinforcement Learning-Based Access Control for Buffer-Aided Relaying Systems With Energy Harvesting

This paper considered a buffer-aided relaying system with multiple source-destination pairs and a relay node (RN) with energy harvesting (EH) capability. The RN harvests energy from the ambient environment and uses the harvested energy to forward the sources' information packet to the correspon...

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Bibliographic Details
Main Authors: Haodi Zhang, Di Zhan, Chen Jason Zhang, Kaishun Wu, Ye Liu, Sheng Luo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Energy harvesting
buffer-aided relaying
Markov decision process
deep reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9161419/

Internet

https://ieeexplore.ieee.org/document/9161419/

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