Case study of TV spectrum sensing model based on machine learning techniques

Case study of TV spectrum sensing model based on machine learning techniques

Spectrum sensing is an essential component in cognitive radios (CR). Machine learning (ML) algorithms are powerful techniques for designing a promising spectrum sensing model. In this work, the supervised ML algorithms, support vector machine (SVM), k-nearest neighbor (kNN), and decision tree (DT) a...

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Bibliographic Details
Main Authors: Abdalaziz Mohammad, Faroq Awin, Esam Abdel-Raheem
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Ain Shams Engineering Journal
Subjects:
Spectrum sensing
Cognitive radio
Machine learning
SVM
kNN
TD
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447921002914

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