Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration

Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration

Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet of Vehicles and industrial IoT, among others. NS is foreseen as one of the leading enablers for 6G futuristic and highly...

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Bibliographic Details
Main Authors: Joberto S. B. Martins, Tereza C. Carvalho, Rodrigo Moreira, Cristiano Bonato Both, Adnei Donatti, Joao H. Correa, Jose A. Suruagy, Sand L. Correa, Antonio J. G. Abelem, Moises R. N. Ribeiro, Jose-Marcos S. Nogueira, Luiz C. S. Magalhaes, Juliano Wickboldt, Tiago C. Ferreto, Ricardo Mello, Rafael Pasquini, Marcos Schwarz, Leobino N. Sampaio, Daniel F. Macedo, Jose F. De Rezende, Kleber V. Cardoso, Flavio De Oliveira Silva
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Network slicing
network slicing architecture
experimental networks integration
architectural slicing enhancements
ML-native optimization
energy-efficient slicing
Online Access:https://ieeexplore.ieee.org/document/10173493/
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