A novel optical node architecture based on all-optical traffic grooming for flexible optical networks is proposed as a mean to utilize the optical spectrum flexibly. In this work, we have overcome the key technical challenge towards implementation of the node architecture by designing and experimentally evaluating a fully flexible intelligent optical node. The proposed solution has the potential to deal with simultaneous multi-functional degree of switching such as format conversion, wavelength conversion, multicasting, spectrum defragmentation and time-domain grooming capability in order to maintain efficient resource utilization. The field experiment was also performed on original and converted channels over a 110-km dark fiber link with the aim of proving the signal robustness in a real network scenario. Finally, BER measurements experimentally demonstrate efficient adaptive switching and processing of variable fragmented traffic, leading to improved network scalability and efficiency.

Field Trial Demonstration of Spectrum Defragmentation and Grooming in Elastic Optical Node

PINNA, SERGIO;SCAFFARDI, MIRCO;FRESI, Francesco;BOGONI, ANTONELLA;
2013-01-01

Abstract

A novel optical node architecture based on all-optical traffic grooming for flexible optical networks is proposed as a mean to utilize the optical spectrum flexibly. In this work, we have overcome the key technical challenge towards implementation of the node architecture by designing and experimentally evaluating a fully flexible intelligent optical node. The proposed solution has the potential to deal with simultaneous multi-functional degree of switching such as format conversion, wavelength conversion, multicasting, spectrum defragmentation and time-domain grooming capability in order to maintain efficient resource utilization. The field experiment was also performed on original and converted channels over a 110-km dark fiber link with the aim of proving the signal robustness in a real network scenario. Finally, BER measurements experimentally demonstrate efficient adaptive switching and processing of variable fragmented traffic, leading to improved network scalability and efficiency.
2013
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11382/420205
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