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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Main Authors: Siji Chen, Bin Shen, Xin Wang, Sang-Jo Yoo
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2019-11-01
Colecção:Sensors
Assuntos:
machine learning
classifier
decision stump
adaboost
energy vector
cooperative spectrum sensing
cognitive radio network (crn)
Acesso em linha:https://www.mdpi.com/1424-8220/19/23/5077
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