Nonlinear phase noise compensation in single-span digital coherent optical systems employing artificial neural networks

Autor(es)

Marim da Silva, Lucas ; de Paula, Romulo ; Augusto de Oliveira, Jose ; Santos, Mirian ; Penchel, Rafael ; Perez, Grethell G. ; Abbade, Marcelo L. F. ; Aldaya, Ivan ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2021 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE (SBFOTON IOPC); v. N/A, p. 4-pg., 2021-01-01.

Resumo

As digital coherent technology gets mature and its cost reduces, it is becoming a competitive solution for future implementations of high-capacity long-reach passive optical networks (LR-PON). In the case of single-channel LR-PONs, the system performance is ultimately limited by the combined effect of the receiver additive noise and the nonlinear phase noise, which in turn is a consequence of the interplay between dispersion and Kerr-induced self-phase modulation. In this paper, we show that by employing a three-layer artificial neural network (ANN) to mitigate the effect of nonlinear phase noise, the bit error rate is reduced from 6.8e-4 to 4.9e-4 (AU)

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