Photonics Research, Volume. 13, Issue 6, 1469(2025)

Concept and experimental demonstration of physics-guided end-to-end learning for optical communication systems

Qiarong Xiao... Chen Ding, Tengji Xu, Chester Shu and Chaoran Huang* |Show fewer author(s)
Author Affiliations
  • Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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    References(73)

    [2] I. Sutskever, O. Vinyals, Q. V. Le. Sequence to sequence learning with neural networks. arXiv(2014).

    [3] N. Carion, F. Massa, G. Synnaeve. End-to-end object detection with transformers. European Conference on Computer Vision, 213-229(2020).

    [17] B. Karanov, M. Chagnon, V. Aref. Concept and experimental demonstration of optical IM/DD end-to-end system optimization using a generative model. 2020 Optical Fiber Communications Conference and Exhibition (OFC), 1-3(2020).

    [19] S. Li, C. Häger, N. Garcia. Achievable information rates for nonlinear fiber communication via end-to-end autoencoder learning. 2018 European Conference on Optical Communication (ECOC), 1-3(2018).

    [20] T. Uhlemann, S. Cammerer, A. Span. Deep-learning autoencoder for coherent and nonlinear optical communication. Photonic Networks; 21th ITG-Symposium, 1-8(2020).

    [23] J. Song, C. Häger, J. Schröder. End-to-end autoencoder for superchannel transceivers with hardware impairment. 2021 Optical Fiber Communications Conference and Exhibition (OFC), 1-3(2021).

    [24] Z. He, J. Song, C. Häger. Experimental demonstration of learned pulse shaping filter for superchannels. 2022 Optical Fiber Communications Conference and Exhibition (OFC), 1-3(2022).

    [28] A. Rode, B. Geiger, L. Schmalen. Geometric constellation shaping for phase-noise channels using a differentiable blind phase search. 2022 Optical Fiber Communications Conference and Exhibition (OFC), 1-3(2022).

    [30] M. Schaedler, S. Calabrò, F. Pittalà. Neural network assisted geometric shaping for 800 Gbit/s and 1 Tbit/s optical transmission. 2020 Optical Fiber Communications Conference and Exhibition (OFC), 1-3(2020).

    [31] V. Aref, M. Chagnon. End-to-end learning of joint geometric and probabilistic constellation shaping. 2022 Optical Fiber Communications Conference and Exhibition (OFC), 1-3(2022).

    [32] V. Neskorniuk, A. Carnio, V. Bajaj. End-to-end deep learning of long-haul coherent optical fiber communications via regular perturbation model. 2021 European Conference on Optical Communication (ECOC), 1-4(2021).

    [42] J. Song, Z. He, C. Häger. Over-the-fiber digital predistortion using reinforcement learning. 2021 European Conference on Optical Communication (ECOC), 1-4(2021).

    [50] F. Buchali, M. Chagnon, K. Schuh. Amplifier less 400 Gb/s coherent transmission at short reach. 2018 European Conference on Optical Communication (ECOC), 1-3(2018).

    [58] H. Paaso, A. Mammela. Comparison of direct learning and indirect learning predistortion architectures. IEEE International Symposium on Wireless Communication Systems, 309-313(2008).

    [63] X. Lu, M. Zhao, L. Qiao. Non-linear compensation of multi-CAP VLC system employing pre-distortion base on clustering of machine learning. 2018 Optical Fiber Communications Conference and Exposition (OFC), 1-3(2018).

    [64] R. Elschner, R. Emmerich, C. Schmidt-Langhorst. Improving achievable information rates of 64-GBd PDM-64QAM by nonlinear transmitter predistortion. Optical Fiber Communication Conference, M1C.2(2018).

    [71] C. Rapp. Effects of HPA-nonlinearity on a 4-DPSK/OFDM-signal for a digital sound broadcasting signal. ESA Spec. Publ., 332, 179-184(1991).

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    Qiarong Xiao, Chen Ding, Tengji Xu, Chester Shu, Chaoran Huang, "Concept and experimental demonstration of physics-guided end-to-end learning for optical communication systems," Photonics Res. 13, 1469 (2025)

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Dec. 13, 2024

    Accepted: Mar. 10, 2025

    Published Online: May. 14, 2025

    The Author Email: Chaoran Huang (crhuang@ee.cuhk.edu.hk)

    DOI:10.1364/PRJ.551798

    CSTR:32188.14.PRJ.551798

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