Network Slicing Automation: Challenges and Benefits
Paper i 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.

Network slicing

Beyond 5G

Machine learning

Automation

Författare

Federico Tonini

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Carlos Natalino Da Silva

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Marija Furdek Prekratic

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Carla Raffaelli

Universita di Bologna

Paolo Monti

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Proceedings of the 24th Conference On Optical Network Design And Modelling, ONDM 2020

9133004

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

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

DOI

10.23919/ONDM48393.2020.9133004

Mer information

Senast uppdaterat

2020-10-22