A cognitive quality of transmission estimator for core optical networks

Journal of Lightwave Technology

Volumn 31, Issue 6, 2013, Pages 942-951

  Jiménez, Tamara ^a   Aguado, Juan Carlos ^a   De Miguel, Ignacio ^a   Durán, Ramón J ^a   Angelou, Marianna ^b   Merayo, Noemí ^a   Fernández, Patricia ^a   Lorenzo, Rubén M ^a   Tomkos, Ioannis ^b   Abril, Evaristo J ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

^b ATHENS INFORMATION TECHNOLOGY   (Greece)

Author keywords

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

Indexed keywords

CBR; COGNITIVE NETWORK; IMPAIRMENT-AWARE NETWORKING; QUALITY OF TRANSMISSIONS (QOT); WAVELENGTH ROUTED OPTICAL NETWORKS;

ESTIMATION; KNOWLEDGE BASED SYSTEMS;

FIBER OPTIC NETWORKS;

EID: 84873278955     PISSN: 07338724     EISSN: None     Source Type: Journal    
DOI: 10.1109/JLT.2013.2240257     Document Type: Article

References (22)

1. S. Azodolmoky et al., "A survey on physical layer impairments aware routing and wavelength assignment algorithms in optical networks," Comput. Netw., vol. 53, no. 7, pp. 926-944, May 2009.
2. C. V. Saradhi and S. Subramaniam, "Physical layer impairment aware routing (PLIAR) in WDM optical networks: Issues and challenges," IEEE Commun. Surveys Tutorials, vol. 11, no. 4, pp. 109-130, Dec. 2009.
3. S. Azodolmoky et al., "Experimental demonstration of an impairment aware network planning an operation tool for transparent/translucent optical networks," J. Lightw. Technol., vol. 29, no. 4, pp. 439-448, 2011.
4. S. Azodolmolky, P. Kokkinos, M. Angelou, E. Varvarigos, and I. Tomkos, "DICONET NPOT: An impairments aware tool for planning and managing dynamic optical networks," J. Netw. Syst. Manag., vol. 20, no. 1, pp. 116-133, 2012.
5. R. Schmogrow et al., "Error vector magnitude as a performance measure for advanced modulation formats," IEEE Photon. Technol. Lett., vol. 24, no. 1, pp. 61-63, Jan. 2012.
6. Y. Qin et al., "Demonstration of C/S based hardware accelerated QoT estimation tool in dynamic impairment-aware optical network," presented at the Proc. ECOC 2010, 2010, Paper P5.17.
7. N. Fernández et al., "Cognition to design energetically efficient and impairment aware virtual topologies for optical networks," in Proc. ONDM 2012, April 2012.
8. P. Poggiolini, "The GN model of non-linear propagation in uncompensated coherent optical systems," J. Lightw. Technol., to be published.
9. A. Aamodt and E. Plaza, "Case-based reasoning: Foundational issues, methodological variations, and system approaches," Artif. Intell. Commun., vol. 7, no. 1, pp. 39-59, 1994.
10. A. Caballero et al., "Experimental demonstration of a cognitive quality of transmission estimator for optical communication systems," Opt. Exp., vol. 20, no. 26, pp. B64-B70, December 10, 2012.
11. T. Jiménez et al., "A cognitive system for fast quality of transmission estimation in core optical network," presented at the OFC/NFOEC 2012, Los Ángeles, CA, USA, March 2012, Paper OW3A.5.
12. T. Jiménez et al., "Optimization of the knowledge base of a cognitive quality of transmission estimator for core optical networks," in Proc. 16th Optical Network Design and Modeling (ONDM 2012), Colchester, U.K., Apr. 2012.
13. CHRON Project. Deliverable D2.1, Specification of the Network Scenario and Service Requirements Nov. 2011 [Online]. Available: http://www.ict-chron.eu
14. R. López et al., "Retrieval, reuse, revision and retention in case-based reasoning," The Knowledge Engineering Review, vol. 30, no. 3, pp. 215-240, 2006.
15. M. Angelou, Y. Pointurier, D. Careglio, S. Spadaro, and I. Tomkos, "Optimized monitor placement for accurate QoT assessment in core optical networks," J. Lightw. Technol., vol. 4, no. 1, pp. 15-24, Jan. 2012.
16. D. W. Aha, "Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms," Int. J. Man-Machine Studies, vol. 36, pp. 267-287, 1992.
17. D. Wettscherek, D. W. Aha, and T. Mohri, "A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms," Artif. Intell. Rev., vol. 11, no. 1-5, pp. 273-314, Feb. 1997. (Pubitemid 127508242)
18. M. Salamó and M. López-Sánchez, "Adaptive case-base reasoning using retention and forgetting strategies," Knowledge-Based Syst., vol. 24, no. 2, pp. 230-247, Mar. 2011.
19. S. J. Delany and P. Cunningham, "An analysis of case-base editing in a spam filtering system," in Advances in Case-Based Reasoning. New York: Springer, 2004, pp. 3-25.
20. E. McKenna and B. Smyth, "Competence-guided editing methods for lazy learning," in Proc. 14th Eur. Conf. Artif. Intell., 2000, pp. 60-64.
21. A. Mokhtar and M. Azizoglu, "Adaptive wavelength routing in alloptical networks," IEEE/ACM Trans. Networking, vol. 6, no. 2, pp. 197-206, April 1998. (Pubitemid 128747919)
22. A. Zapata-Beghelli and P. Bayvel, "Dynamic versus static wavelength-routed optical networks," J. Lightw. Technol., vol. 26, no. 10, pp. 3403-3415, 2008.