A Novel Dynamic Spectrum Access Framework Based on Reinforcement Learning for Cognitive Radio Sensor Networks

A Novel Dynamic Spectrum Access Framework Based on Reinforcement Learning for Cognitive Radio Sensor Networks

Cognitive radio sensor networks are one of the kinds of application where cognitive techniques can be adopted and have many potential applications, challenges and future research trends. According to the research surveys, dynamic spectrum access is an important and necessary technology for future co...

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Bibliographic Details
Main Authors: Yun Lin, Chao Wang, Jiaxing Wang, Zheng Dou
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Sensors
Subjects:
dynamic spectrum access
control channel
power allocation
reinforcement learning
Online Access:http://www.mdpi.com/1424-8220/16/10/1675

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