Routing Selection With Reinforcement Learning for Energy Harvesting Multi-Hop CRN

Routing Selection With Reinforcement Learning for Energy Harvesting Multi-Hop CRN

This paper considers the routing problem in the communication process of an energy harvesting (EH) multi-hop cognitive radio network (CRN). The transmitter and the relay harvest energy from the environment use it exclusively for transmitting data. In a relay on the path, a limited data buffer is use...

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Bibliographic Details
Main Authors: Xiaoli He, Hong Jiang, Yu Song, Chunlin He, He Xiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Routing selection
multi-hop CRN
energy harvesting
Q learning
reinforcement learning
MDP
Online Access:https://ieeexplore.ieee.org/document/8697342/

Internet

https://ieeexplore.ieee.org/document/8697342/

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