Physics-Regulated Digital Backpropagation for Optical Fiber Systems with Imprecise Parameters
IEEE Transactions on Communications 2024
Jiahao Zhang, Lu Zhang, Xianbin Yu, Zhanhong Wang, Oskars Ozoliņš, Xiaodan Pang, Maite Brandt-Pearce, Qun Zhang

Current signal processing algorithms excel at impairment compensation when the parameters of optical fiber systems are precisely defined. However, their effectiveness diminishes considerably in the presence of imprecise parameters. By integrating 'knowledge application from physics to neural networks (NN)' with 'information feedback from NNs to physics', this paper proposes a physics-regulated digital backpropagation (PR-DBP) algorithm, which shows great promise for impairment compensation with imprecise fiber parameters. The PR-DBP employs an optimization-estimation-initialization loop structure. The optimization process provides the network's adaptability by minimizing the loss value as in conventional NNs. The estimation process dynamically tracks physical parameters by extracting information from NNs to the physical domain. The initialization process offers a physics-based global control over the neural network, thereby mitigating the risk of overfitting by preventing an excessive focus on loss minimization. Moreover, a phase-shift weight function is applied to further improve algorithmic efficiency. Numerical analyses indicate that the PR-DBP significantly outperforms conventional methods in optical fiber systems with imprecise parameters, achieving a bit error rate reduction by an order of magnitude. As a mutually reinforcing part of impairment compensation, a high-accuracy and adaptive fiber parameter estimation is also demonstrated.


Atslēgas vārdi
deep learning; digital backpropagation; optical fiber communications; physics-based machine learning
DOI
10.1109/TCOMM.2024.3511694
Hipersaite
https://ieeexplore.ieee.org/document/10778619

Zhang, J., Zhang, L., Yu, X., Wang, Z., Ozoliņš, O., Pang, X., Brandt-Pearce, M., Zhang, Q. Physics-Regulated Digital Backpropagation for Optical Fiber Systems with Imprecise Parameters. IEEE Transactions on Communications, 2024, Vol. 1, No. 1, 1.-1.lpp. ISSN 0090-6778. e-ISSN 1558-0857. Pieejams: doi:10.1109/TCOMM.2024.3511694

Publikācijas valoda
English (en)
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