SOA pattern effect mitigation by neural network based pre-equalizer for 50G PON
Journal article, 2021

Semiconductor optical amplifier (SOA) is widely used for power amplification in O-band, particularly for passive optical networks (PONs) which can greatly benefit its advantages of simple structure, low power consumption and integrability with photonics circuits. However, the annoying nonlinear pattern effect degrades system performance when the SOA is needed as a pre-amplifier in PONs. Conventional solutions for pattern effect mitigation are either based on optical filtering or gain clamping. They are not simple or sufficiently flexible for practical deployment. Neural network (NN) has been demonstrated for impairment compensation in optical communications thanks to its powerful nonlinear fitting ability. In this paper, for the first time, NN-based equalizer is proposed to mitigate the SOA pattern effect for 50G PON with intensity modulation and direct detection. The experimental results confirm that the NN-based equalizer can effectively mitigate the SOA nonlinear pattern effect and significantly improve the dynamic range of receiver, achieving 29-dB power budget with the FEC limit at 1e-2. Moreover, the well-trained NN model in the receiver side can be directly placed at the transmitter in the optical line terminal to pre-equalize the signal for transmission so as to simplify digital signal processing in the optical network unit.

Author

Lei Xue

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Shanghai Jiao Tong University

Lilin Yi

Shanghai Jiao Tong University

Rui Lin

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

LUYAO HUANG

Shanghai Jiao Tong University

Jiajia Chen

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Optics Express

1094-4087 (ISSN)

Vol. 29 16 24714-24722

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1364/OE.426781

More information

Latest update

8/3/2021 8