A Multivariate Time-Series Based Approach for Quality Modeling in Wireless Networks

This work presents a method for estimating key quality indicators (KQIs) from measurements gathered at the nodes of a wireless network. The procedure employs multivariate adaptive filtering and a clustering algorithm to produce a KQI time-series suitable for post-processing by the network management...

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Detalles Bibliográficos
Autores principales: Aguayo, Leonardo, Fortes, Sergio, Baena, Carlos, Baena, Eduardo, Barco, Raquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999914/
https://www.ncbi.nlm.nih.gov/pubmed/33809271
http://dx.doi.org/10.3390/s21062017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999914/
https://www.ncbi.nlm.nih.gov/pubmed/33809271
http://dx.doi.org/10.3390/s21062017

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