Deep Reinforcement Learning Based Dynamic Spectrum Competition in Green Cognitive Virtualized Networks

Deep Reinforcement Learning Based Dynamic Spectrum Competition in Green Cognitive Virtualized Networks

This paper examines the optimal spectrum competing strategy for a virtual network operator in cognitive cellular networks with energy-harvesting base stations. In the scenario for this study, multiple cognitive virtual network operators (CVNOs) obtain spectrum resources from a mobile network operato...

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Bibliographic Details
Main Authors: Quang Vinh Do, Insoo Koo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Cognitive radio
deep reinforcement learning
energy harvesting
spectrum leasing
spectrum sensing
virtual network
Online Access:https://ieeexplore.ieee.org/document/9391658/

Internet

https://ieeexplore.ieee.org/document/9391658/

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