Increasing the Capacity of Optical Nonlinear Interfering Channels

Project: Research direct

Project Details

Description

In this project, we will answer different questions regarding information transmission through optical fibres. For example, what is the maximum amount of information that can be reliably transported by optical fibres? Or how to design coded modulation systems that approach this limit? To answer these questions, we will first develop accurate channel models for the nonlinear optical channel in the high-power regime. Novel coded modulation transceivers tailored to the nonlinear optical channel will then be designed. Techniques that will be considered in this project include (but not limited to):

• Signal (constellation) shaping: geometrical and probabilistic shaping;
• Error control coding (FEC), coded modulation, and maximum likelihood detection;
• Asymptotic analysis and mismatched decoding theory;
• Nonlinear compensation techniques, such as digital back-propagation and Volterra equalizers;
• Novel signaling techniques: nonlinear Fourier transform and eigenvalue communications.

Layman's description

Optical fibers are strands of glass with the thickness of a human hair which carry nearly all the world Internet traffic. However, the installed fibers are running out of capacity. This project will use mathematics to increase the capacity of these fibers, which will guarantee faster future broadband connections.
AcronymICONIC
StatusActive
Effective start/end date1/08/1731/07/22

Research Output

  • 15 Article
  • 6 Conference contribution
  • 2 Conference article
  • 1 Poster

Coded modulation for 100G coherent EPON

Gerard, T., Dzieciol, H., Sillekens, E., Wakayama, Y., Alvarado, A., Killey, R. I., Bayvel, P. & Lavery, D., 1 Feb 2020, In : Journal of Lightwave Technology. 38, 3, p. 564-572 9 p., 8831407.

Research output: Contribution to journalArticleAcademicpeer-review

  • 11,700 km Transmission at 4.8 bit/4D-sym via four-dimensional geometrically-shaped polarization-ring-switching modulation

    Heide, S. V. D., Chen, B., Hout, M. V. D., Liga, G., Koonen, T., Hafermann, H., Alvarado, A. & Okonkwo, C., 29 Apr 2019, In : arXiv. 3 p., 1904.12561 .

    Research output: Contribution to journalConference articleAcademic

    Open Access
    File
  • A machine learning-based detection technique for optical fiber nonlinearity mitigation

    Amari, A., Lin, X., Dobre, O. A., Venkatesan, R. & Alvarado, A., 15 Apr 2019, In : IEEE Photonics Technology Letters. 31, 8, p. 627-630 4 p., 8660506.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 4 Citations (Scopus)
    19 Downloads (Pure)

    Prizes

    Asia Communications and Photonics Conference(ACP) 2018 Best Paper Award

    Bin Chen (Recipient), Y. Lei (Recipient), Domaniç Lavery (Recipient), C.M. Okonkwo (Recipient) & Alex Alvarado (Recipient), 28 Nov 2018

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

  • Optoelectronics and Communications Conference (OECC 2019) Best Paper Award

    Sjoerd van der Heide (Recipient), Bin Chen (Recipient), M. van den Hout (Recipient), Gabriele Liga (Recipient), Ton Koonen (Recipient), Hartmut Hafermann (Recipient), Alex Alvarado (Recipient) & Chigo Okonkwo (Recipient), Jul 2019

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific