Blind adaptive degenerated look-up table based perturbative nonlinear compensation for 16QAM probabilistically shaped signals

Shuai Wang; Yiwen Wu; Lilin Yi; Weisheng Hu; Qunbi Zhuge

doi:10.1117/12.2583584

10 November 2020 Blind adaptive degenerated look-up table based perturbative nonlinear compensation for 16QAM probabilistically shaped signals

Shuai Wang, Yiwen Wu, Lilin Yi, Weisheng Hu, Qunbi Zhuge

Author Affiliations +

Proceedings Volume 11604, Optics Frontiers Online 2020: Optical Communications and Networks; 116040G (2020) https://doi.org/10.1117/12.2583584
Event: Optics Frontiers Online 2020: Optical Communications and Networks (OFO-2), 2020, Online Only

Abstract

A degenerated look-up table based perturbative nonlinearity compensation (DLUT-PNC) algorithm for probabilistically shaped 16QAM signals was proposed to compensate intra-channel fiber nonlinearity. However, this method adopts the standard 16 QAM signals without considering the influence of ASE noise to calculate the degenerated elements of table. Hence, the degenerated elements of the table are not strictly optimal. In this paper, a blind adaptive DLUT-PNC (BADLUT- PNC) method based on the gradient descent algorithm is proposed. We use the gradient descent algorithm to optimize the degenerated elements and then obtain the optimal degeneration scheme. In a single channel 70GBaud dual-polarization 16QAM transmission simulation with a 1200km link, the proposed scheme is investigated. The simulation result shows that the extra 0.15~0.45dB SNR improvements can be achieved by adopting our proposed BA-DLUT-PNC compared to the conventional DLUT-PNC method.

Citation Download Citation

Shuai Wang, Yiwen Wu, Lilin Yi, Weisheng Hu, and Qunbi Zhuge "Blind adaptive degenerated look-up table based perturbative nonlinear compensation for 16QAM probabilistically shaped signals", Proc. SPIE 11604, Optics Frontiers Online 2020: Optical Communications and Networks, 116040G (10 November 2020); https://doi.org/10.1117/12.2583584

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