5 research outputs found
Employing Channel Probing to Derive End-of-Life Service Margins for Optical Spectrum Services
Optical Spectrum as a Service (OSaaS) spanning over multiple transparent
optical network domains, can significantly reduce the investment and
operational costs of the end-to-end service. Based on the black-link approach,
these services are empowered by reconfigurable transceivers and the emerging
disaggregation trend in optical transport networks. This work investigates the
accuracy aspects of the channel probing method used in Generalized Signal to
Noise Ratio (GSNR)-based OSaaS characterization in terrestrial brownfield
systems. OSaaS service margins to accommodate impacts from enabling neighboring
channels and end-of-life channel loads are experimentally derived in a
systematic lab study carried out in the Open Ireland testbed. The applicability
of the lab-derived margins is then verified in the HEAnet production network
using a 400 GHz wide OSaaS. Finally, the probing accuracy is tested by
depleting the GSNR margin through power adjustments utilizing the same 400 GHz
OSaaS in the HEAnet live network. A minimum of 0.92 dB and 1.46 dB of service
margin allocation is recommended to accommodate the impacts of enabling
neighboring channels and end-of-life channel loads. Further 0.6 dB of GSNR
margin should be allocated to compensate for probing inaccuracies
A Latency-Aware Real-Time Video Surveillance Demo: Network Slicing for Improving Public Safety
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksWe report the automated deployment of 5G services across a latency-aware, semidisaggregated, and virtualized metro network. We summarize the key findings in a detailed analysis of end-to-end latency, service setup time, and soft-failure detection timeThe research leading to these results has received funding from the EC and BMBF through the METRO-HAUL project (G.A. No. 761727) and OTB-5G+ project (reference No. 16KIS0979K
Provisioning in Metro Networks Based on Photonic Integrated WaveBand ROADMs
A planning strategy overcoming the drawback of large transition bandwidths of photonic
integrated WaveBand-ROADMs is proposed. Results show that, on metro horseshoes, integrated WBROADMs
represent a viable cost-efficient alternative to traditional LCoS-based ROADMs
Demonstration of latency-aware 5G network slicing on optical metro networks
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 800 mu s and the service deployment time is under 180 s. (C) 2021 Optical Society of America© 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work