| Authors: | A. Katumba, X. Yin, J. Dambre, P. Bienstman | | Title: | A Neuromorphic Silicon Photonics Nonlinear Equalizer for Optical Communication with Intensity Modulation and Direct-Detection | | Format: | International Journal | | Publication date: | 2/2019 | | Journal/Conference/Book: | Journal of Lightwave Technologies
| | Editor/Publisher: | IEEE/OSA, | | Volume(Issue): | 37(10) p.2232-2239 | | DOI: | 10.1109/JLT.2019.2900568 | | Citations: | 44 (Dimensions.ai - last update: 24/11/2024)
28 (OpenCitations - last update: 27/6/2024)
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Abstract
We present the design and numerical study of a nonlinear equalizer for optical communications based on silicon photonics and reservoir computing. The proposed equalizer leverages the optical information processing capabilities of integrated photonic reservoirs to combat distortions both in metro links of a few 100km and in high-speed short-reach Intensity-Modulation-Direct-Detection links. We show nonlinear compensation in unrepeated metro links of up to 200 km that outperform electrical FFE-based equalizers, and ultimately any linear compensation device. For a high-speed short-reach 40 Gb/s link based on a Distributed Feedback Laser (DFB) and an Electroabsorptive Modulator (EAM), and considering an HD-FEC limit of 0.2.10^-2, we can increase the reach by almost 10 km. Our equalizer is compact (only 16 nodes) and operates in the optical domain without the need for complex electronic DSP, meaning its performance is not bandwidth constrained. The approach is therefore a viable candidate even for equalization techniques far beyond 100G optical communication links. Related Research Topics
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