Chapter Nine: Machine learning and data science for low-margin optical networks
The ins and outs of margin optimization
Camille Delezoide; Petros Ramantanis; Patricia Layec Smart Optical Fabric and Devices Lab, Nokia Bell Labs, Nozay, France
Abstract
The point of lowering optical network margins is to optimize the efficiency of current and future infrastructures. Margins are initially meant to guarantee a high reliability. Thus, the low-margin conundrum is to determine how and by how much margins may be reduced with as little impact as possible on the quality of service. Solving this inevitably requires to forecast then track the consequences of margin reductions. This cannot be achieved without large-scale collection of monitoring data and advanced ...
Get Machine Learning for Future Fiber-Optic Communication Systems now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
