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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2022-03-01
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| Colección: | Ain Shams Engineering Journal |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2090447921002914 |
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