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Predictive autonomic transmission for low-cost low-margin metro optical networks

Author
Ruiz, M.; Boitier, F.; Shariati, M.; Layec, P.; Velasco, L.
Type of activity
Journal article
Journal
Photonic network communications
Date of publication
2020-10
Volume
40
First page
68
Last page
81
DOI
10.1007/s11107-020-00909-5
Project funding
CogniTive 5G application-aware optical metro netWorks Integrating moNitoring, data analyticS and optimization
METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency
Repository
http://hdl.handle.net/2117/330615 Open in new window
URL
https://link.springer.com/article/10.1007/s11107-020-00909-5 Open in new window
Abstract
Low-cost low-margin implementation plays an essential role in upgrading optical metro networks required for future 5G ecosystem. In this regard, low-resolution analog-to-digital converters can be used in coherent optical transponders to reduce cost and power consumption. However, the resulting transmission systems become more sensitive to physical layer fluctuations like the events caused by fiber stressing. Such fluctuations might have a strong impact on the quality of transmission (QoT) of the...
Citation
Ruiz, M. [et al.]. Predictive autonomic transmission for low-cost low-margin metro optical networks. "Photonic network communications", Octubre 2020, vol. 40, p. 68-81.
Keywords
Autonomic transmission, BER prediction, Network automation
Group of research
CCABA - Advanced Broadband Communications Center
GCO - Optical Communications Group

Participants