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ANALYSIS & OPINION: SOFTWARE & SERVICES Figure 2: Real-time service health check conducted during field trial


not sufficient to understand the real-time state of a fibre optic connection, the field trial testing included real-time awareness of pre-forward error correction (FEC) bit error rate (BER), OSNR, and residual margin. Figure 2 highlights the results of a service health check (SHC) conducted during the trial in which all monitored performance parameters on the link (pre-FEC, OSNR, residual margin) showed stable operational conditions over the monitoring period.


Send a signal Understanding the real-time state of residual margin in a multi-domain portion of the Telia Carrier network was a key objective of the expanded trial. Residual margin represents the most useful measure of received signal quality and determines how much room there is for the signal to degrade without impacting error-free operation. Residual margin is impacted by OSNR,


g


and artificial intelligence (AI) concepts and capabilities, these cuting-edge soſtware advances – including real-time performance awareness and analytics – are being put to the test in production networks. Optical layer soſtware intelligence and


automation represent one of the key areas on which Telia Carrier and Infinera have been collaborating for a number of years. Last year, for example, we conducted a live field trial that demonstrated the operational value of optical performance awareness based on accurate residual margin measurement during real-time operations and based on state-of-life fibre conditions. During the trial, 200G wavelengths were


provisioned on-demand, based on the accurate real-time (DSP-independent) visibility of residual margin and OSNR on a 1,300km long- haul transmission route between Hamburg and Prague. Te live field trial featured a


demonstration of in-service optical margin measurement, without the need for additional hardware equipment.


Linking up Earlier this year, we extended our collaboration in the field of soſtware intelligence and automation with an expanded field trial that spanned 490 production links across the Telia Carrier backbone network in Europe. Tis new field trial was expanded both in terms of scope and length of time, with testing conducted across metro, long-haul core, and subsea network domains, lasting more than a month. During the course of the trial, a variety of


real-time use cases were conducted on network routes and links, including dashboard-based service health checks, real-time performance awareness, and residual margin analysis and optimisation. Since one performance parameter alone is


linear impairments, and nonlinear impairments. Measured in dB, residual margin tells you by how many dB OSNR can be reduced – if linear and non-linear impairments remain constant – until post-FEC errors will occur. Accurately assessing the residual margin requires accurately determining the impact of all three. Tis real- time knowledge can provide the tools to mine available network margin and re-purpose it to the benefit of both network operations and end- user customers. As optical networks become more dynamic


and the evolution of coherent technology introduces a wider range of modulation schemes and baud rates, advances in soſtware-driven automation, real-time performance awareness and network adaptability will lay the foundation for a new level of optical layer efficiency and agility. Blissfully unaware of what is going on beneath


the surface, digital consumers will enjoy greater service performance – faster streaming rates, beter gameplay and enhanced graphics, and their favourite coffee might even taste just that litle bit beter. n


Matias Fridström is chief evangelist, Telia Carrier; Parthiban Kandappan is chief technical officer, Infinera


Figure 3: Example of the importance of residual margin in real-time performance awareness, with evidence of available link budget that can be optimised in a variety of ways by the operator


24


FiBRE SYSTEMS n


Issue 25 n


Autumn 2019


www.fibre-systems.com


@fibresystemsmag


Infinera


Infinera


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