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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.

In this paper, we experimentally investigate the performance of unrepeatered optical transmission comparing different nonlinear compensation (NLC) implementations. Specifically, digital back-propagation (DBP) algorithm and maximum likelihood sequence estimation (MLSE) are applied for intra-channel NLC with and without 4 × 4 multiple-input multiple-output (MIMO) equalization. Both NLC algorithms are evaluated in an unrepeatered WDM transmission of 17 × 200-Gb/s channels (32 GBd DP-16QAM) over 350 km of large effective area and low loss single-mode fibers. The results indicate a Q 2 factor and optimum launch power improvements of up to 0.4 dB and 2 dB, respectively, compared to the linear compensation (LC), combining MLSE and DBP with MIMO equalization.

Resumo-O impacto de efeitos deletérios decorrentes da inserção de ruído óptico e de limitações do modulador eletro-óptico em canais com taxas de transmissão de 1 Tb/s são estudados com base em simulações numéricas, considerando a transmissão sistêmica de tais sinais. Os resultados indicam que os canais são altamente impactados por limitações na banda eletro-óptica dos moduladores empregados em sua geração, mas ainda é possível alcançar distâncias superiores a 750 km.

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