Experimental demonstration of a cognitive quality of transmission estimator for optical communication systems

Optics Express

Volumn 20, Issue 26, 2012, Pages

  Caballero, Antonio ^a   Aguado, Juan Carlos ^b   Borkowski, Robert ^a   Saldaña, Silvia ^a   Jiménez, Tamara ^b   De Miguel, Ignacio ^a   Arlunno, Valeria ^a   Durán, Ramón J ^b   Zibar, Darko ^b   Jensen, Jesper B ^a   Lorenzo, Rubén M ^a   Abril, Evaristo J ^b   Monroy, Idelfonso Tafur ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

80 GB/S; CBR; ERROR VECTOR MAGNITUDE; ESTIMATION TECHNIQUES; KNOWLEDGE BASE; OPTICAL CHANNELS; OPTICAL CONNECTION; OPTICAL NETWORK DESIGN; OPTICAL SIGNAL TO NOISE RATIO; PHYSICAL LAYER IMPAIRMENTS; QUALITY OF TRANSMISSION; QUALITY OF TRANSMISSIONS (QOT);

FIBER OPTIC NETWORKS; KNOWLEDGE BASED SYSTEMS; NETWORK LAYERS; OPTICAL SIGNAL PROCESSING;

ESTIMATION;

EID: 84871233674     PISSN: None     EISSN: 10944087     Source Type: Journal    
DOI: 10.1364/OE.20.000B64     Document Type: Conference Paper

References (9)

1. S. Azodolmolky, M. Klinkowski, E. Marin, D. Careglio, J. Solé Pareta, and I. Tomkos, "A survey on physical layer impairments aware routing and wavelength assignment algorithms in optical networks," Comput. Netw. 53(7), 926-944 (2009).
2. S. Azodolmolky, J. Perelló, M. Angelou, F. Agraz, L. Velasco, S. Spadaro, Y. Pointurier, A. Francescon, C. V. Saradhi, P. Kokkinos, E. Varvarigos, S. Al Zahr, M. Gagnaire, M. Gunkel, D. Klonidis, and I. Tomkos, "Experimental demonstration of an impairment aware network planning and operation tool for transparent/translucent optical networks," J. Lightwave Technol. 29(4), 439-448 (2011).
3. Y. Qin, K. Cheng, J. Triay, E. Escalona, G. S. Zervas, G. Zarris, N. Amaya-Gonzalez, C. Cervello-Pastor, R. Nejabati, and D. Simeonidou, "Demonstration of C/S based Hardware Accelerated QoT Estimation Tool in Dynamic Impairment-Aware Optical Network," in European Conference in Optical Communications (ECOC 2010), Torino, IT, paper P5.17 (2010).
4. P. Poggiolini, "The GN model of non-linear propagation in uncompensated coherent optical systems," J. Lightwave Technol. (to be published).
5. T. Jiménez, J. C. Aguado, I. de Miguel, R. J. Durán, N. Fernandez, M. Angelou, D. Sánchez, N. Merayo, P. Fernández, N. Atallah, R. M. Lorenzo, I. Tomkos, and E. J. Abril, "A cognitive system for fast quality of transmission estimation in core optical networks," in Optical Fiber Communication Conference (OFC 2012), Los Angeles, CA, USA, paper OW3A.5 (2012).
6. A. Aamodt and E. Plaza, "Case-based reasoning: Foundational issues, methodological variations, and system approaches," Artificial Intelligence Communications 7(1), 39-59 (1994).
7. T. Jiménez, J. C. Aguado, I. de Miguel, R. J. Durán, D. Sánchez, M. Angelou, N. Merayo, P. Fernández, N. Fernández, R. M. Lorenzo, I. Tomkos, and E. J. Abril, "Optimization of the knowledge base of a cognitive quality of transmission estimator for core optical networks," 16th Optical Network Design and Modeling Conference (ONDM 2012), Colchester, UK, (2012).
8. D. W. Aha, "Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms," Int. J. Man-Machine Studies 36(2), 267-287 (1992).
9. I. H. Witten, E. Frank, and M. A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, 3rd ed. (Morgan Kaufmann, 2011).