Evaluation of Frequency-Domain Learned Digital Back-Propagation Nonlinear Compensation for Unrepeatered Optical Links

Lucas Silva Schanner

DOI: 10.14209/SBRT.2020.1570658182

Evento: XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2020)

Keywords: digital back-propagation artificial intelligence nonlinear compensation unrepeatered systems

Abstract

We have implemented a technique for nonlinear compensation in optical transmission based on neural network optimization applied to digital back-propagation and evaluated its performance with experimental data from an unrepeatered link, sweeping the parameters most relevant to computational complexity. This technique enabled mutual information gains over 0.1 bit/symbol in all tested scenarios when compared with the non-optimized counterpart, or 0.15 bit/symbol when compared with similar complexity linear compensation.

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