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Mohannad Abu-romoh

Telecom Paris, Palaiseau, France

Low Complexity Convolutional Neural Networks for Equalization in Optical Fiber Transmission

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Oct 11, 2022
Mohannad Abu-romoh, Nelson Costa, Antonio Napoli, João Pedro, Yves Jaouën, Mansoor Yousefi
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A convolutional neural network is proposed to mitigate fiber transmission effects, achieving a five-fold reduction in trainable parameters compared to alternative equalizers, and 3.5 dB improvement in MSE compared to DBP with comparable complexity.

* 2 pages, 3 figures. Submitted to the OSA Advanced Photonics Congress 2021. Presented in Signal Processing in Photonic Communications (SPPCom) 2021. From the session: Neural Networks Applications for Photonic Systems (SpM5C) 
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Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems

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May 23, 2022
Mohannad Abu-romoh, Nelson Costa, Antonio Napoli, Bernhard Spinnler, Yves Jaouën, Mansoor Yousefi
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Digital back-propagation (DBP) and learned DBP (LDBP) are proposed for nonlinearity mitigation in WDM dual-polarization dispersion-managed systems. LDBP achieves Q-factor improvement of 1.8 dB and 1.2 dB, respectively, over linear equalization and a variant of DBP adapted to DM systems.

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