Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning

Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning

This paper introduces Optimal 5G Network Sub-Slicing Orchestration (ONSSO), a novel machine learning framework for dynamic and autonomous 5G network slice orchestration. The framework leverages the LazyPredict module to automatically select optimal supervised learning algorithms based on real-time n...

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Bibliographic Details
Main Authors: Abimbola Efunogbon, Enjie Liu, Renxie Qiu, Taiwo Efunogbon
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Future Internet
Subjects:
5G networks
network slicing
network slice orchestration
resource management
resource allocation
machine learning
Online Access:https://www.mdpi.com/1999-5903/17/2/69
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