Nonlinear phase noise compensation in single-span digital coherent optical systems employing artificial neural networks
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Data
2021-05-31
Autores
Da Silva, Lucas Marim
De Paula, Romulo
De Oliveira, Jose Augusto
Santos, Mirian
Penchel, Rafael
Perez, Grethell G.
Abbade, Marcelo L. F.
Aldaya, Ivan
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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
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artificial neural networks, nonlinear phase compensation, optical coherent systems
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2021 SBFoton International Optics and Photonics Conference: Keep on Shining, SBFoton IOPC 2021.