Mitigation of nonlinear phase noise in single-channel coherent 16-QAM systems employing logistic regression

Author(s)

de Paula, Romulo A. ; Marim, Lucas ; Penchel, Rafael A. ; Bustamante, Yesica R. R. ; Abbade, Marcelo L. F. ; Perez-Sanchez, Grethell ; Aldaya, Ivan

• Document type: Journal article
• Source: OPTICAL AND QUANTUM ELECTRONICS; v. 53, n. 9, p. 14-pg., 2021-09-01.

Abstract

We propose and analyze a classifier based on logistic regression (LR) to mitigate the impact of nonlinear phase noise (NPN) caused by Kerr-induced self-phase-modulation in digital coherent systems with single-channel unrepeated links. Simulation results reveal that the proposed approach reduces the bit error ratio (BER) in a 100-km-long 16 quadrature amplitude modulation (16-QAM) system operating at 56-Gbps. Thus, the BER is reduced from 6.88 x 10(-4) when using maximum likelihood to 4.27 x 10(-4) after applying the LR-based classification, representing an increase of 0.36 dB in the effective Q-factor. This performance enhancement is achieved with only 624 operations per symbol, which can be easily parallelized into 16 lines of 39 operations. (AU)

• FAPESP's process: 15/24517-8 - Photonics for next generation internet
• Grantee: Hugo Enrique Hernández Figueroa
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 18/25339-4 - Integrated photonics devices
• Grantee: Newton Cesario Frateschi
• Support Opportunities: Research Projects - Thematic Grants