Single-Lane 54-Gbit/s PAM-4/8 Signal Transmissions Using 10G-Class Directly Modulated Lasers Enabled by Low-Complexity Nonlinear Digital Equalization

This work presents the use of a directly modulated laser (DML) in time- and wavelength division multiplexed passive optical networks (TWDM-PONs), in which an EDFA-based booster amplification and an SOA-based pre-amplification are utilized to improve the optical power budget. We experimentally demons...

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Bibliographic Details
Published in:IEEE Photonics Journal
Main Authors: Ahmed Galib Reza, Marcos Troncoso-Costas, Colm Browning, Francisco J. Diaz-Otero, Liam P. Barry
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2022
Subjects:
Directly modulated laser
machine learning
nonlinearity
optical access networks
pulse amplitude modulation
Applied optics. Photonics
TA1501-1820
Optics. Light
QC350-467
DML
Online Access:https://doi.org/10.1109/JPHOT.2022.3168683
https://doaj.org/article/93fb0e328bc746ee86d46ec7bd5e2167
Description
Summary:This work presents the use of a directly modulated laser (DML) in time- and wavelength division multiplexed passive optical networks (TWDM-PONs), in which an EDFA-based booster amplification and an SOA-based pre-amplification are utilized to improve the optical power budget. We experimentally demonstrate the C-band optically amplified data transmissions and compare the performance of the non-return-to-zero on-off keying (NRZ-OOK), four and eight-level pulse amplitude modulation (PAM-4/PAM-8) using a 10-G class DML. With optical amplification, the uplink and downlink power budgets of about 28 dB and 35 dB, respectively, are achieved for the PAM-4 54-Gbit/s signals at the hard-decision forward error correction (HD-FEC) limit of 3.8x10 -3 after transmissions over a 25-km single-mode fiber link. To mitigate waveform distortions caused by the limited bandwidth, nonlinear dynamics, memory effects, and strong laser frequency chirp of the DML, especially during multi-level signal modulations, artificial neural network-based machine learning equalizers and low-complexity Volterra nonlinear equalizers are applied, which operate at the signal baud rate. The bit error ratio performance in conjunction with an enhanced power budget through the use of a low-complexity nonlinear equalizer can justify the validity of using a DML in the next-generation PONs.

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