Network Slicing Automation: Challenges and Benefits
Paper in proceeding, 2020

Network slicing is a technique widely used in 5G networks where multiple logical networks (i.e., slices) run over a single shared physical infrastructure.
Each slice may realize one or multiple services, whose specific requirements are negotiated beforehand and regulated through Service Level Agreements (SLAs).  In Beyond 5G (B5G) networks it is envisioned that slices should be created, deployed, and managed in an automated fashion (i.e., without human intervention) irrespective of the technological and administrative domains over which a slice may span. Achieving this vision requires a combination of novel physical layer technologies, artificial intelligence tools, standard interfaces, network function virtualization, and software-defined networking principles. This paper provides an overview of the challenges facing network slicing automation with a focus on transport networks. Results from a selected group of use cases show the benefits of applying conventional optimization tools and machine-learning-based techniques while addressing some slicing design and provisioning problems.

Automation

Beyond 5G

Network slicing

Machine learning

Author

Federico Tonini

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Carlos Natalino Da Silva

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Marija Furdek Prekratic

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Carla Raffaelli

University of Bologna

Paolo Monti

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

2020 24th International Conference on Optical Network Design and Modeling, ONDM 2020

9133004

24th Conference On Optical Network Design And Modelling, ONDM 2020
Castelldefels, Spain,

Smart City Concepts in Curitiba - low-carbon transport and mobility in a digital society

VINNOVA (2019-04893), 2019-12-01 -- 2023-05-31.

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

DOI

10.23919/ONDM48393.2020.9133004

More information

Latest update

3/21/2023