Dynamic Spectrum Sharing Based on Deep Reinforcement Learning in Mobile Communication Systems

Dynamic Spectrum Sharing Based on Deep Reinforcement Learning in Mobile Communication Systems

The rapid development of mobile communication services in recent years has resulted in a scarcity of spectrum resources. This paper addresses the problem of multi-dimensional resource allocation in cognitive radio systems. Deep reinforcement learning (DRL) combines deep learning and reinforcement le...

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Bibliographic Details
Main Authors: Sizhuang Liu, Changyong Pan, Chao Zhang, Fang Yang, Jian Song
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
resource allocation
machine learning
dynamic spectrum access
deep reinforcement learning
deep Q-network
Online Access:https://www.mdpi.com/1424-8220/23/5/2622

Internet

https://www.mdpi.com/1424-8220/23/5/2622

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