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A Strong Machine Learning Classifier and Decision Stumps Based Hybrid AdaBoost Classification Algorithm for Cognitive Radios

Machine learning (ML) based classification methods have been viewed as one kind of alternative solution for cooperative spectrum sensing (CSS) in recent years. In this paper, ML techniques based CSS algorithms are investigated for cognitive radio networks (CRN). Specifically, a strong machine learni...

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Hlavní autoři: Siji Chen, Bin Shen, Xin Wang, Sang-Jo Yoo
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2019-11-01
Edice:Sensors
Témata:
machine learning
classifier
decision stump
adaboost
energy vector
cooperative spectrum sensing
cognitive radio network (crn)
On-line přístup:https://www.mdpi.com/1424-8220/19/23/5077
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