Demonstration of latency-aware 5G network slicing on optical metro networks

TL;DR

This paper demonstrates a latency-aware 5G network slicing solution on optical metro networks, enabling rapid deployment and low-latency services for applications like public safety video surveillance.

Contribution

It presents an automated deployment framework for 5G network slices on optical metro networks with latency-aware features and real-time analytics capabilities.

Findings

Round-trip time over 80 km link is under 800ms

Service deployment time is under 180s

Effective soft-failure detection achieved

Abstract

The H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semidisaggregated metro nodes with compute and storage capabilities, which interface effectively with both 5G access and multi-Tbit/s elastic optical networks in the core. In this paper, we report the automated deployment of 5G services, in particular, a public safety video surveillance use case employing low-latency object detection and tracking using on-camera and on-the-edge analytics. The demonstration features flexible deployment of network slice instances, implemented in terms of European Telecommunications Standards Institute (ETSI) network function virtualization network services. We summarize the key findings in a detailed analysis of end-to-end quality of service, service setup time, and soft-failure detection time. The results show that the round-trip time over an 80 km link is under 800s and the service deployment time is under 180s.