NEWS & BUSINESS
Open Fibre chooses Italtel for network automation
thus increasing e ciency and reducing complexity and operating costs. We are particularly satisfied with this and what has been achieved with the valuable contribution of Italtel and Maticmind in terms of professional competence, response and commitment to the common objectives of the project.” The project of the network automation has developed automated workflows that capture the work order from the Customer Relations Manager (CRM) and activate it in a heterogeneous multi-vendor network, consisting of FTTH access, IP and Optical Transport Network. “For this project, which is particularly complex due to the heterogeneity of the network, Italtel has drawn on its strength, which is the ability to make di erent technologies interact with each other,” said Paolo Allegra, head of product/ solution unit infrastructure integration at Italtel. “We have dedicated a specific task force to design the IP Backbone, network services and automation activities on the Cisco NSO technology.”
Italtel, alongside Maticmind, has completed what it claims is a pioneering network automation project to automatically configure network services for Open Fiber, the wholesale-only FTTH Italian operator, which expects to reach around 19 million property units in Italy with FTTH ultra-broadband in the upcoming years. Open Fiber has chosen Cisco’s Network Services Orchestrator (NSO) platform to automate and simplify its operations and provide services in a faster and easier way through network automation. The deployment will allow it to add, modify and delete services automatically without interrupting the overall service and will guarantee real-time activations. Italtel, which was the first company in Italy to be certified on Cisco NSO
technology, designed Open Fiber’s IP Backbone and has been playing an essential role in analysing Open Fiber’s needs, designing network services and the related automation leveraging on the programmable Cisco NSO platform. The platform operates on all network layers, ranging from access to IP and Optical transport. “Open Fiber is now able to deliver wholesale services on a very large scale, significantly reducing the time-to-market of new services and minimising the configuration errors,” says Domenico Angotti, head of engineering at Open Fiber. “Cisco’s Network Orchestrator greatly supports us for the end-to-end operation of the equipment and the supervision of the activation cycles, allowing us to mainly focus our e ort on developing innovative customer services,
AI makes FASTER subsea cable go faster
NEC Corporation, in a joint research publication with Google, has demonstrated for the first time that the FASTER open subsea cable can be upgraded to a spectral e ciency of 6 bits/s per Hertz (bits/s/Hz) in an 11,000 km segment. This represents a capacity of more than 26 Tbps in the C-band, which is over 2½ times the capacity originally planned for the cable. Importantly, there’s no additional wet plant capital expenditure. The team achieved this result using near-Shannon probabilistic-shaping at a modulation of 64 QAM and,
application of AI technology to open subsea cable systems, on which terminal equipment from multiple vendors may be readily installed.” The experimental demonstration of NLC achieved a Generalised Mutual-Information (GMI) capacity gain of ~0.15 bps/2- pol, which is equivalent to a capacity increase of 15 Gbps in every 100 GHz of fibre bandwidth. NEC announced plans to continue this AI-based research, with the dual aims of increasing system capacity while reducing the complexity of implementation.
of nonlinear propagation, in favour of a low-complexity black-box model of the fibre, generated by machine learning algorithms. The results demonstrate both an improvement in transmission performance and a reduction in implementation complexity.” “Furthermore, since the black-box model is built up from live transmission data, it does not require continued Kawauchi. “This allows the model to be used on any cable without prior modelling or characterisation, which shows the potential advance knowledge of the cable parameters,”
for the first time on a live cable, Artificial Intelligence (AI) was used to analyse data for the purpose of NonLinearity Compensation (NLC). NEC developed an NLC algorithm based on data-driven Deep Neural Networks (DNN) to accurately and e ciently estimate the signal nonlinearity. “Other approaches to NLC have attempted to solve the nonlinear Schrodinger equation, which requires the use of very complex algorithms,” said NEC’s Toru Kawauchi, General Manager, Submarine Network Division. “This approach sets aside those deterministic models
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| ISSUE 13 | Q2 2018
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