A Cognitive Quality of Transmission Estimator for Core Optical Networks

作者：Jimenez Tamara^*; Carlos Aguado Juan; de Miguel Ignacio; Duran Ramon J; Angelou Marianna; Merayo Noemi; Fernandez Patricia; Lorenzo Ruben M; Tomkos Ioannis; Abril Evaristo J

来源：Journal of Lightwave Technology, 2013, 31(6): 942-951.

DOI：10.1109/JLT.2013.2240257

• Case-based reasoning (CBR)
• cognitive networks
• impairment-aware networking
• quality of transmission (QoT)
• wavelength-routed optical network (WRON)

We propose a cognitive Quality of Transmission (QoT) estimator for classifying lightpaths into high or low quality categories in impairment-aware wavelength-routed optical networks. The technique is based on Case-Based Reasoning (CBR), an artificial intelligence technique which solves new problems by exploiting previous experiences, which are stored on a knowledge base. We also show that by including learning and forgetting techniques, the underlying knowledge base can be optimized, thus leading to a significant reduction on the computing time for on-line operation. The performance of the cognitive estimator is evaluated in a long haul and in an ultra-long haul network, and we demonstrate that it achieves more than 98% successful classifications, and that it is up to four orders of magnitude faster when compared with a non-cognitive QoT estimator, the Q-Tool.

• 出版日期2013-3-15