| Full text | |
| Author(s): |
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
Total Authors: 9
|
| Document type: | Journal article |
| Source: | 2021 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE (SBFOTON IOPC); v. N/A, p. 4-pg., 2021-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 18/25339-4 - Integrated photonics devices |
| Grantee: | Newton Cesario Frateschi |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 20/11874-5 - Technology for recycling lithium-ion batteries: life cycle engineering applications in the light of circular economy |
| Grantee: | José Augusto de Oliveira |
| Support Opportunities: | Research Grants - Research Partnership for Technological Innovation - PITE |
| FAPESP's process: | 15/24517-8 - Photonics for next generation internet |
| Grantee: | Hugo Enrique Hernández Figueroa |
| Support Opportunities: | Research Projects - Thematic Grants |