High degree of heterogeneity of future optical networks, such as services with different quality-of-transmission requirements, modulation formats and switching techniques, will pose a challenge for the control and optimization of different parameters. Incorporation of cognitive techniques can help to solve this issue by realizing a network that can observe, act, learn and optimize its performance, taking into account end-to-end goals. In this letter we present the approach of cognition applied to heterogeneous optical networks developed in the framework of the EU project CHRON: Cognitive Heterogeneous Reconfigurable Optical Network. We focus on the approaches developed in the project for optical performance monitoring and power consumption models to implement an energy efficient network.
Applications of Digital Image Processing, 2012
Optical networks; Cognition; Energy consumption; Optical performance monitoring
Main Research Area:
Proceedings of Spie, the International Society for Optical Engineering
SPIE Photonics West : Optical Metro Networks and Short-Haul Systems V, 2012