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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Detalles Bibliográficos
Autores principales: Chen, Siji, Shen, Bin, Wang, Xin, Yoo, Sang-Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928977/
https://www.ncbi.nlm.nih.gov/pubmed/31757117
http://dx.doi.org/10.3390/s19235077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928977/
https://www.ncbi.nlm.nih.gov/pubmed/31757117
http://dx.doi.org/10.3390/s19235077

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