DiNeq Tasks


Task T0: Project management and scientific dissemination
  • ensure timely accomplishment of the project goals and proposed milestones.
  • promote regular project coordination meetings (at least 4 per project year).
  • continuous tracking of the evolving state-of-the-art.
  • Dissemination of the project results:
    • production of scientific publications in top international journal and conferences.
    • yearly project workshops.
Task T1: Nonlinear equalizers for WDM transmission systems
  • development of digital equalization algorithms for the mitigation of intra- and inter-channel nonlinearities in single-mode WDM transmission systems:
        • extend the FD-VSNE technique for polarization-multiplexed transmission.
        • develop and optimize inter-channel equalization techniques.
        • develop low-complexity compensation strategies using incomplete  information.
  • optimize computational effort of digital nonlinear equalization:
    • apply a pruning strategy to the VSNE algorithm.
  • explore new approaches for nonlinear equalization:
    • artificial neural networks.
    Task T2: Nonlinear numerical tools for few-mode fibers
    • analysis and compensation of nonlinearities in MIMO optical transmission systems supported by few-mode fibers:
      • assessment of the impact of nonlinearities in FMFs.
      • develop numerical tools both for the analysis of optical field propagation in FMFs and SNR prediction under the nonlinear regime.
      • extend the single-mode VSTF tool in order to predict and unveil the impact of nonlinear phenomena in FMFs under moderate optical powers.
      • extend both the BP-SSF and FD-VSNE algorithms to account for inter-modal XPM.
    Task T3: Figures of merit for digital nonlinear equalizers
    • develop simple closed-form analytical expressions to:
      • predict the SNR gain provided by different nonlinear equalization algorithms.
      • quantify the computational requirements in terms of number of multiply-accumulate (MAC) operations and latency.
    • Develop a tool to assist on the choice of the optimum equalization algorithm for a given SNR target and available computational resources.
    Task T4: Experimental implementation and validation
    • experimentally implement and validate the developed nonlinear equalization algorithms:
      • offline equalization recurring to experimental testing data.
      • real-time implementation of the equalization subsystem in FPGA.