Article
Engineering, Electrical & Electronic
Mengfan Fu, Yiwen Wu, Zhiyuan Yang, Huazhi Lun, Xiaobo Zeng, Lilin Yi, Weisheng Hu, Qunbi Zhuge
Summary: In this paper, a TC-PNC scheme is proposed to compensate for intra-channel fiber nonlinear impairments. Compared to conventional PNC and DPNC, TC-PNC has lower complexity and better compensation performance. Simulations and experiments demonstrate that TC-PNC can effectively improve the signal-to-noise ratio and validate its effectiveness.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Cenqin Jin, Nikita A. Shevchenko, Junqiu Wang, Yunfei Chen, Tianhua Xu
Summary: In this work, the performance of wideband Nyquist-spaced long-haul nonlinear optical fiber communication systems suffering from enhanced equalization phase noise (EEPN) is investigated and discussed. The efficiency and accuracy of analytical models are validated through simulations considering different symbol rates and modulation formats. The results reveal that the distortions in the C-band system are aggravated with the increase of symbol rates and transmission distances.
Article
Engineering, Electrical & Electronic
Ruiqi Zheng, Erwin Chan, Xudong Wang, Xinhuan Feng, Bai-Ou Guan, Jianping Yao
Summary: A technique is presented to suppress second and third order nonlinear distortions in a long-haul microwave photonic link, achieving a high spurious free dynamic range through adjustments to operational parameters and the polarization state of the light signal. The proposed MPL demonstrates excellent performance in achieving high SFDR regardless of transmission distance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Optics
Xiansong Fang, Xinyu Chen, Xiang Cai, Chuanchuan Yang, Fan Zhang
Summary: In this work, a novel architecture combining learned modified digital back-propagation (L-MDBP) and decision directed least mean square (DDLMS) adaptive equalizer is proposed to mitigate fiber nonlinearity in high-baud rate WDM systems. The proposed scheme achieves superior performance and lower computation complexity compared with conventional DBP by leveraging globally optimized model parameters and adaptive channel estimation. Furthermore, the adaptability of the architecture is enhanced using an online transfer learning (TL) technique with minimal initial training epochs.
Article
Engineering, Electrical & Electronic
Shenghang Luo, Sunish Kumar Orappanpara Soman, Lutz Lampe, Jeebak Mitra
Summary: Fiber nonlinearity effects on long-haul optical fiber communication links are limited by conventional nonlinearity compensation methods. Recently, machine learning techniques have been used to optimize these methods, claiming improved performance and reduced complexity. This paper revisits the benefits of learned nonlinearity compensation and proposes a fully learned structure using a recurrent neural network. Numerical simulations demonstrate improved performance and complexity trade-off compared to existing techniques.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Fatima Al-Shaikhli, Maurice O'Sullivan, Rongqing Hui
Summary: Electrostriction in an optical fiber is introduced by the interaction between the forward propagated optical signal and the acoustic standing waves. A novel technique for characterizing fiber properties is demonstrated by measuring the electrostriction response under intensity modulation. By subtracting the measured spectrum from its complex conjugate, the signal to noise ratio can be significantly increased. The envelope of the electrostriction-induced loss spectrum closely follows a Maxwellian distribution, which can be determined by a single parameter if the transversal field distribution of the fiber propagation mode is Gaussian.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Bertold Ian Bitachon, Marco Eppenberger, Benedikt Baeuerle, Juerg Leuthold
Summary: A method for reducing the training time of DL-DBP is proposed by dividing the link into smaller sections. The experiment shows that the proposed method provides a gain in compensation performance compared to linear schemes, at the cost of increased training time.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Edson Porto da Silva, Metodi Plamenov Yankov
Summary: This paper investigates the performance of adaptive turbo equalization for nonlinearity compensation, proposing a scheme utilizing a recursive least-squares algorithm for adaptive channel estimation. By exchanging extrinsic information in every turbo iteration, the receiver is able to improve the performance of channel estimation and equalization, achieving lower bit-error-rate values. The proposed scheme allows for additional gains in signal-to-noise ratio and mutual information beyond what single-channel digital backpropagation can provide.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Oleg Sidelnikov, Alexey Redyuk, Stylianos Sygletos, Mikhail Fedoruk, Sergei Turitsyn
Summary: The study utilizes convolutional neural networks to compensate for nonlinear signal distortions in optical communication systems, optimizing algorithmic complexity to improve learning efficiency and performance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Xiang Lin, Shenghang Luo, Sunish Kumar Orappanpara Soman, Octavia A. Dobre, Lutz Lampe, Deyuan Chang, Chuandong Li
Summary: This study proposes a machine learning-based scheme to mitigate the intra-channel optical fiber nonlinearity. The scheme utilizes perturbation treatment and a deep neural network to improve performance. Numerical simulations demonstrate the superiority of the proposed scheme over other methods.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Jiazheng Ding, Tiegen Liu, Tongyang Xu, Wenxiu Hu, Sergei Popov, Mark S. Leeson, Jian Zhao, Tianhua Xu
Summary: This work investigates a perturbation-based neural network scheme with an embedded bidirectional long short-term memory layer to compensate for the Kerr fiber nonlinearity in optical fiber communication systems. Numerical simulations demonstrate the effectiveness and advantages of this scheme in high-speed transmission systems, achieving improvements in signal-to-noise ratio while reducing computational complexity and maintaining robustness to phase noise-induced distortion. Additionally, a tradeoff is found between the choice of modulation format and nonlinear equalization schemes for a given transmission distance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Hrishikesh Srinivas, Oleksiy Krutko, Joseph M. Kahn
Summary: Scaling up cable capacity in long-haul optical communication is a goal of spatial-division multiplexing (SDM). Multicore or multimode fiber systems promise higher integration, but efficient coupling of pump light and mode-dependent gain control pose challenges. We propose an integrated multimode amplifier design that excites only four pump spatial modes and predicts flat gain, low noise figure, and minimal mode-dependent gain over a wide bandwidth.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Optics
Du Tang, Zhen Wu, Zhongliang Sun, Xizi Tang, Yaojun Qiao
Summary: This study introduces a novel joint intra and inter-channel nonlinearity compensation method based on interpretable neural network (NN) and evaluates its performance in coherent optical transmission systems through simulations. The results demonstrate significant advantages in transmission reach and Q factor improvement compared to conventional methods, with lower computational complexity.
Article
Engineering, Electrical & Electronic
Du Tang, Zhen Wu, Yingjie Jiang, Jiating Luo, Ji Luo, Bofang Zheng, Yaojun Qiao
Summary: A novel simplified implementation structure is proposed for digital backpropagation in digital subcarrier-multiplexing systems. By converting the serial calculation and compensation to a parallel calculation and fused compensation, the effectiveness of nonlinear compensation is improved and the complexity is reduced without sacrificing performance.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Vegenshanti Dsilva, Isaac Sackey, Gregor Ronniger, Guillermo von Hunefeld, Binoy Chacko, Colja Schubert, Ronald Freund
Summary: The combined approach of optical and digital nonlinearity mitigation techniques has been shown to overcome the drawbacks of individual schemes and improve compensation capabilities. By utilizing optical phase conjugation and digital-domain neural networks, we successfully demonstrated fiber-nonlinearity mitigation and achieved significant improvements.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Benjamin Foo, Bill Corcoran, Arthur J. Lowery
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2018)
Article
Engineering, Electrical & Electronic
Yiwei Xie, Zihan Geng, Deming Kong, Leimeng Zhuang, Arthur J. Lowery
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(2018)
Article
Engineering, Electrical & Electronic
Valery Rozental, Deming Kong, Bill Corcoran, Darli Mello, Arthur J. Lowery
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2018)
Article
Optics
Jokhakar Jignesh, Arthur Lowery, Bill Corcoran
Article
Optics
Bill Corcoran, Benjamin Foo, Arthur J. Lowery
Article
Optics
Zihan Geng, Deming Kong, Bill Corcoran, Pengyu Guan, Francesco Da Ros, Edson Porto da Silva, Leif Katsuo Oxenlowe, Arthur James Lowery
Article
Engineering, Biomedical
Yan T. Wong, Timothy Feleppa, Anand Mohan, Damien Browne, Julian Szlawski, Jeffrey Rosenfeld, Arthur Lowery
JOURNAL OF NEURAL ENGINEERING
(2019)
Proceedings Paper
Optics
Leimeng Zhuang, Arthur J. Lowery
SMART PHOTONIC AND OPTOELECTRONIC INTEGRATED CIRCUITS XX
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Qibing Wang, Binhuang Song, Bill Corcoran, Arthur James Lowery
2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Jokhakar Jignesh, Tobias A. Eriksson, Mathieu Chagnon, Bill Corcoran, Arthur J. Lowery, Fred Buchali, Henning Buelow
2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Bill Corcoran, Benjamin Foo, Arthur J. Lowery
2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)
(2018)
Article
Nanoscience & Nanotechnology
Yiwei Xie, Leimeng Zhuang, Arthur J. Lowery
Proceedings Paper
Engineering, Electrical & Electronic
Leimeng Zhuang, Yiwei Xie, Arthur J. Lowery
2018 AUSTRALIAN MICROWAVE SYMPOSIUM (AMS)
(2018)
Review
Nanoscience & Nanotechnology
Yiwei Xie, Zihan Geng, Leimeng Zhuang, Maurizio Burla, Caterina Taddei, Marcel Hoekman, Arne Leinse, Chris G. H. Roeloffzen, Klaus-J. Boller, Arthur J. Lowery
Proceedings Paper
Engineering, Electrical & Electronic
Qibing Wang, Binhuang Song, David Boland, Bill Corcoran, Arthur Lowery
2017 OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC) AND PHOTONICS GLOBAL CONFERENCE (PGC)
(2017)