Frequency Logarithmic Perturbation on the Group-Velocity Dispersion Parameter With Applications to Passive Optical Networks
Year: 2021
Type: article
Abstract: Signal propagation in an optical fiber can be described by the nonlinear Schrödinger equation (NLSE). The NLSE has no known closed-form solution when both dispersion and nonlinearities are considered simultaneously. In this paper, we present a novel integral-form approximate model for the nonlinear optical channel, with applications to passive optical networks. The proposed model is derived using logarithmic perturbation in the frequency domain on the group-velocity dispersion (GVD) parameter of the NLSE. The model can be seen as an improvement of the recently proposed regular perturbation (RP) on the GVD parameter. RP and logarithmic perturbation (LP) on the nonlinear coefficient have already been studied in the literature, and are hereby compared with RP on the GVD parameter and the proposed LP model. As an application of the model, we focus on passive optical networks. For a 20 km PON at 10 Gbaud, the proposed model improves the normalized square deviation by 1.5 dB with respect to LP on the nonlinear coefficient. For the same system, histogram-based detectors are developed using the received symbols from the models. The detector obtained from the proposed LP model reduces the uncoded bit-error-rate by up to 5.4 times at the same input power or reduces the input power by 0.4 dB at the same information rate compared to the detector obtained from LP on the nonlinear coefficient.
Source: Journal of Lightwave Technology
Authors: Vinicius Oliari, Erik Agrell, Gabriele Liga, Alex Alvarado
Language: English
Topic: Optical Network Technologies
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: G3239447949, International Network of Excellence in Science Technology, G434337789, Fundamentals of the Nonlinear Optical Channel, Increasing the Capacity of Optical Nonlinear Interfering Channels (ICONIC), International Network of Excellence in Science Technology, Signal shaping in optical communications—Beyond the Gaussian channel
OpenAlex ID: W3134581028
