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...

詳細記述

保存先:
書誌詳細
主要な著者: Siji Chen, Bin Shen, Xin Wang, Sang-Jo Yoo
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2019-11-01
シリーズ:Sensors
主題:
machine learning
classifier
decision stump
adaboost
energy vector
cooperative spectrum sensing
cognitive radio network (crn)
オンライン･アクセス:https://www.mdpi.com/1424-8220/19/23/5077
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