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Optical Amplifier Cognitive Gain Adjustment Methodology for Dynamic and Realistic Networks

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Cognitive Technologies

Part of the book series: Telecommunications and Information Technology ((TIT))

Abstract

Optical amplifiers are essential devices in optical networks to recover the signals degraded from passive optical components attenuations such as fiber span and optical switches. However, optical amplifiers, usually based on erbium-doped fiber, are also the main noise contributors, reducing the signal quality. Given that noise depends on the amplifiers’ operating point, it is desirable to find their best operating point which may lead to the lowest degradation of the optical signal. In this work, we evaluate our proposed cognitive methodology for optical amplifier gain adjustment, relied on case-based reasoning. Realistic scenarios are considering, exploring networks with different number of amplifiers and span lengths per link. The results show an optical signal-to-noise ratio improvement when the cognitive methodology is applied for most cases, demonstrating the methodology robustness for networks with different characteristics in terms of topology and size.

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Author information

Authors and Affiliations

  1. Optical Technologies Division, CPqD Foundation, Campinas, SP, Brazil

    Uiara Celine de Moura, Miquel Garrich, Jacklyn Dias Reis & Juliano Oliveira

  2. Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, SP, Brazil

    Amilcar Careli Cesar

  3. Faculty of Electrical and Computer Engineering, Department of Communications, University of Campinas, Campinas, SP, Brazil

    Uiara Celine de Moura & Evandro Conforti

Authors
  1. Uiara Celine de Moura
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  2. Miquel Garrich
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  3. Amilcar Careli Cesar
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  4. Jacklyn Dias Reis
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  5. Juliano Oliveira
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  6. Evandro Conforti
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Corresponding author

Correspondence to Uiara Celine de Moura .

Editor information

Editors and Affiliations

  1. Chief Research and Development Officer, CPqD, Campinas, São Paulo, Brazil

    Alberto Paradisi

  2. CPqD, Cognitive Computing Division CPqD, Campinas, São Paulo, Brazil

    Alan Godoy Souza Mello

  3. CPqD, Wireless Technologies Division CPqD, Campinas, São Paulo, Brazil

    Fabrício Lira Figueiredo

  4. CPqD, Optical Technologies Division CPqD, Campinas, São Paulo, Brazil

    Rafael Carvalho Figueiredo

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de Moura, U.C., Garrich, M., Cesar, A.C., Reis, J.D., Oliveira, J., Conforti, E. (2017). Optical Amplifier Cognitive Gain Adjustment Methodology for Dynamic and Realistic Networks. In: Paradisi, A., Godoy Souza Mello, A., Lira Figueiredo, F., Carvalho Figueiredo, R. (eds) Cognitive Technologies. Telecommunications and Information Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-53753-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-53753-5_9

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