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

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

• 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