Comparison of Supervised Learning Algorithms on a 5G Dataset Reduced via Principal Component Analysis (PCA)

Comparison of Supervised Learning Algorithms on a 5G Dataset Reduced via Principal Component Analysis (PCA)

Improving the quality of service (QoS) and meeting service level agreements (SLAs) are critical objectives in next-generation networks. This article presents a study on applying supervised learning (SL) algorithms in a 5G/B5G service dataset after being subjected to a principal component analysis (P...

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Bibliographic Details
Main Authors: Joan D. Gonzalez-Franco, Jorge E. Preciado-Velasco, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jorge Torres-Rodriguez, Miguel A. Alonso-Arevalo
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Future Internet
Subjects:
5G/B5G service classification
dimension reduction
ML
PCA
QoS
SLA
Online Access:https://www.mdpi.com/1999-5903/15/10/335

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https://www.mdpi.com/1999-5903/15/10/335

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