Abstract

This paper reviews digital signal processing techniques that compensate, mitigate, and exploit fiber nonlinearities in coherent optical fiber transmission systems.

Highlights

  • Intra-channel and inter-channel fiber nonlinearities are major impairments in coherent transmission systems that limit the achievable transmission distance [1]

  • Digital signal processing techniques for contending with fiber nonlinearities are reviewed with specific examples illustrating the diversity of techniques that have been explored

  • The perturbation-based pre-compensation technique is based on approximate time-domain solutions to the coupled nonlinear Schrödinger equation (CNLSE) that express the impact of fiber nonlinearities on a propagating signal as a first-order perturbation term [1, 2]

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Summary

Introduction

Intra-channel and inter-channel fiber nonlinearities are major impairments in coherent transmission systems that limit the achievable transmission distance [1]. Digital signal processing techniques for compensating or mitigating the effects of fiber nonlinearities and for exploiting fiber nonlinearities have been investigated. The techniques for reducing the impact of fiber nonlinearities on system performance include those that compensate the nonlinearity-induced signal distortion and those that mitigate the distortion by making the signal propagation more tolerant to fiber nonlinearities. They include perturbation solutions to the coupled nonlinear Schrödinger equation (CNLSE), single-channel and multi-channel digital backpropagation, Volterra series nonlinear equalizers, pulse shaping, and advanced modulation formats. Digital signal processing techniques for contending with fiber nonlinearities are reviewed with specific examples illustrating the diversity of techniques that have been explored

Perturbation based pre-compensation
Wideband digital backpropagation performance
Validation of analytical tools for DBP performance estimation
DBP SNR gains
Volterra based nonlinear compensation
Advanced modulation for nonlinear transmission
Geometric shaping
Probabilistic shaping
Encoding in the nonlinear Fourier spectrum
Findings
Summary
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