Skip to main content
Log in

Cognitive science applied to reduce network operation margins

  • Original Paper
  • Published:
Photonic Network Communications Aims and scope Submit manuscript

Abstract

In an increasingly competitive market environment with smaller product offer differentiation, a continuous maximization of efficiency, while guarantying the quality of the provided services, remains a main objective for any telecom operator. In this work, we address the reduction of the operational costs of the optical transport network as one of the possible fields of action to achieve this aim. We propose to apply cognitive science for reducing these costs, specifically by reducing operation margins. We base our work on the case-based reasoning technique by proposing several new schemes to reduce the operation margins established during the design and commissioning phases of the optical links power budgets. From the obtained results, we find that our cognitive proposal provides a feasible solution allowing significant savings on transmitted power that can reach a 49%. We show that there is a certain dependency on network conditions, achieving higher efficiency in low loaded networks where improvements can raise up to 53%.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Augé, J.-L.: Can we use flexible transponders to reduce margins? OSA OFC/NFOEC Technical Digest (2013)

  2. Mitola, J., Maguire Jr., G.Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)

    Article  Google Scholar 

  3. Zervas, G.S., Simeounidou, D.: Cognitive optical networks: need, requirements and architecture. In: Proc. ICTON, paper We.C1.3 (2010)

  4. Jiménez, T., et al.: A cognitive quality of transmission estimator for core optical networks. J. Lightwave Technol. 31(6), 942–951 (2013)

    Article  Google Scholar 

  5. Pointurier, Y.: Design of low-margin optical networks, Tu3F.5, OSA/OFC (2016)

  6. Mitchell, T.: Machine Learning. MacGraw-Hill, New York (1997)

    MATH  Google Scholar 

  7. Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AICOM Artif. Intell. Commun. 7(1), 39–59 (1994)

    Google Scholar 

  8. Agrawal, G.P.: Fiber-Optic Communication Systems, 3rd edn. Wiley, Hoboken (2002)

    Book  Google Scholar 

  9. Senior, J.M.: Optical Fiber Communications, Principles and Practice, 3rd edn. Pearson Prentice Hall, Harlow (2009)

    Google Scholar 

  10. Keiser, G.: Optical Fiber Communications, 3rd edn. McGraw-Hill, New York (2000)

    Google Scholar 

  11. Mitra, A., Kar, S., Lord, A.: Effect of link margin on spectrum saving and advantages of flexgrid optical networking. In: IEEE, National conference on communications (NCC) (2013)

  12. Keiser, G.: FTTX Concepts and Applications. Wiley, Hoboken (2006)

    Book  Google Scholar 

  13. ITU-T Recommendation G.692 (10/98) Optical interfaces for multichannel systems with optical amplifiers

  14. ITU-T Recommendation G.957 (03/2006) Optical interfaces for equipments and systems relating to the synchronous digital hierarchy

  15. Fernández, N., et al.: Virtual topology design and reconfiguration using cognition: performance evaluation in case of failure. In: V international workshop on reliable networks design and modeling (RNDM 2013) co-located with ICUMT 2013, IEEE (2013)

  16. Sedighi, B., Li, J., Lee, K.-L., Gambini, S., Chow, H., Tucker, R.: Energy-efficient optical links: optimal launch power. IEEE Photonics Technol. Lett. 25(17), 1715–1718 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Salvatore Spadaro.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Calleja, L.D.N., Spadaro, S., Perelló, J. et al. Cognitive science applied to reduce network operation margins. Photon Netw Commun 34, 432–444 (2017). https://doi.org/10.1007/s11107-017-0717-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11107-017-0717-9

Keywords

Navigation