A Radio Environment Maps Estimation Algorithm based on the Pixel Regression Framework for Underlay Cognitive Radio Networks Using Incomplete Training Data

In the underlay cognitive radio networks, the radio environment maps (REMs) estimation is the main challenge in sensing the idle wireless spectrum resources. Traditional deep learning-based algorithms estimate the REMs on the basis of the high-quality, large-scale complete training images. However,...

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Detalles Bibliográficos
Autores principales: Han, Xu, Xue, Lei, Xu, Ying, Liu, Zunyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218896/
https://www.ncbi.nlm.nih.gov/pubmed/32326665
http://dx.doi.org/10.3390/s20082245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218896/
https://www.ncbi.nlm.nih.gov/pubmed/32326665
http://dx.doi.org/10.3390/s20082245

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