Du Tang

Beijing University of Posts and Telecommunications

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Co-Authors

Yaojun Qiao

Beijing University of Posts and Telecommunications

Zhen Wu

Asia University

Zhongliang Sun

Sinopec (China)

Yingjie Jiang

Beijing University of Posts and Telecommunications

Shuangyue Liu

Beijing University of Posts and Telecommunications

Bofang Zheng

Huawei Technologies (China)

Ji Luo

Huawei Technologies (China)

Fei Xie

Northeast Forestry University

Han Cui

Chengdu University

Jiating Luo

Huawei Technologies (China)

Cooperative Institutions

Beijing University of Posts and Telecommunications

State Key Laboratory of Information Photonics and Optical Communications

Chinese Academy of Sciences

Central South University

Tsinghua University

Applied Science and Technology Research Institute

Xiangya Hospital Central South University

Fudan University

Huawei Technologies (China)

Shanghai Jiao Tong University

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Self-supervised learning for neural-network-based perturbative fiber nonlinearity compensation

IET conference proceedings. (2023)

Du Tang Yan Jiang Zhen Wu Yaojun Qiao

A self-supervised learning scheme is proposed for neural-network-based perturbative fiber nonlinearity compensation with a designed proxy task by using phase-conjugated unknown sequences. The self-supervised trained model can be applied directly to the corresponding dual-polarization system with no obvious performance penalty compared with the supervised one.

Supervised Learning

Proxy (statistics)

10.1049/icp.2023.2044

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Noise and Performance Analysis of Fiber-Longitudinal Power Profile Estimation

Journal of Lightwave Technology (2024)

Du Tang Yingjie Jiang Ji Luo Yu Chen Jie Yang

Previous investigations have preliminarily revealed that the two main methods of fiber-longitudinal power profile estimation (PPE), the correlation-based (CM) and minimum-mean-square-error-based (MMSE) methods, show different performance and noise robustness. To thoroughly comprehend the PPE behavior in the presence of stochastic noise, this study introduces the first comprehensive noise analysis of CM-PPE and MMSE-PPE. By introducing a novel metric, the profile-to-noise ratio (PNR), we derive equations verifying that the CM-PPE offers enhanced noise tolerance at the expense of reduced power profile fidelity, whereas MMSE-PPE exhibits the converse characteristics. Moreover, a further noise analysis is also performed with the real-time assumption that the number of processed samples per block is limited and the profiles output by different processing blocks are averaged. Based on the theoretical expressions and the aid of numerical simulation, we confirm that the conventional averaging operation is suitable for CM-PPE, while MMSE-PPE needs to modify the averaging implementation structure for a more stable estimation. Our theoretical insights facilitate a deeper comprehension of PPE, paving the way for its real-time application.

10.1109/jlt.2024.3401124

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Design and performance of a fiber-optic video distribution system using BPSK microwave subcarriers

IEEE Journal on Selected Areas in Communications (1990)

Du Tang

The design and performance of a fiber-optic video distribution system using bi-phase shift keyed (BPSK) microwave subcarriers to provide each subscriber with 20 107 Mb/s digitized video channels and one voice/data channel at 2.048 Mb/s are described. The combined microwave subcarriers are used to intensity-modulate a 1.3 mu m single-mode laser, one dedicated to each subscriber. The penalty in system sensitivity resulting from the use of more than one subcarrier is calculated. The design and implementation of subcarrier generation, BPSK modulation, multiplexing/demultiplexing, and subscriber receivers are described. An experiment procedure to obtain an optimum laser driver level is also described. A bit error rate of 10/sup -9/ or less is achieved at a received optical power of -12 dB (1 mW) for all channels for each subscriber.< >

Subcarrier multiplexing

Modulation (music)

10.1109/49.59131

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Digital Backpropagation for Subcarrier-Multiplexing Systems With Nonlinearity Compensation Fusion

IEEE Photonics Technology Letters (2022)

Du Tang Zhen Wu Yingjie Jiang Jiating Luo Ji Luo

A novel simplified implementation structure is proposed for digital backpropagation in digital subcarrier-multiplexing systems (SCM-DBP) and one of its modifications, the SCM-DBP with infinite impulse response filters and reduced number of interfering subcarriers (IIR-RS-SCM-DBP). To the best of our knowledge, it is the first time to convert the serial calculation and compensation of self-subcarrier nonlinearity (SSN) and cross-subcarrier nonlinearity (CSN) to a parallel calculation and a fused compensation without affecting the nonlinear compensation (NLC) effectiveness. The performance is verified by a 9-channel wavelength-division multiplexing coherent numerical system with 120-GBaud 8-subcarrier dual-polarization 16QAM signal in each channel after 1600-km transmission. After verifying the robustness to multiple impairments, SCM-DBP adopting the fusion structure provides the same performance as before but saves about 4.5% NLC complexity. IIR-RS-SCM-DBP (4 interfering subcarriers) with the fusion structure provides about 10.8% NLC complexity reduction compared with the original IIR-RS-SCM-DBP, and about 63% NLC complexity reduction compared to SCM-DBP with about 0.16 dB penalty of

$Q^{2}$

factor. The proposed fusion structure helps realize a more cost-effective NLC in digital subcarrier-multiplexing systems.

Subcarrier multiplexing

Robustness

10.1109/lpt.2022.3210006

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Citations (8)

Smart Wealth Management System for Robo-Advisory

Yi Ming Xiang Zhixi Li Tsz-Ho LEE Du Tang Kent K. Wu

The Smart Wealth Management Platform (SWMP) is an intelligent cloud-based system that aims to provide a unified wealth management service with smart risk-assessment and diversified products for institutional and retail investors in China and Hong Kong. An efficient computational architecture supports high performance data processing for financial analysis, huge amount of calculation for portfolio optimization and simulation, and know your customer (KYC) module based on behavioral finance. Leading market core technologies from big data, AI, financial engineering, and financial real time data analysis are cohesively integrated to form a dynamic platform with excellent user experience to support rationalized investment and deliver specialized consultancy.

Financial engineering

Financial Management

10.1109/cifer.2019.8759063

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Low-complexity clustered polynomial nonlinear filter-based electrical dispersion pre-compensation scheme in IM/DD transmission systems

Optics Express (2023)

Xiaoqian Huang Fei Xie Du Tang Shuangyue Liu Yaojun Qiao

A polynomial nonlinear filter (PNLF)-based electrical dispersion pre-compensation (pre-EDC) scheme assisted with Gerchberg-Saxton (GS) algorithm is proposed to compensate the chromatic dispersion (CD) for intensity-modulation and direct-detection (IM/DD) optical transmission systems, where PNLF is utilized to fit the nonlinear transfer function of the iterative GS algorithm-based pre-EDC scheme to realize a low-complexity non-iterative CD pre-compensation. The capability of PNLF to fit the nonlinear iterative process enables the PNLF-based pre-EDC scheme to compensate for CD-induced linear distortions and address CD-induced nonlinear distortions, which are typically captured through iterative approaches. Additionally, to further reduce the computational complexity, we also introduce the k-means clustering algorithm to eliminate the weight redundancy and propose a lower-complexity clustered PNLF-based pre-EDC scheme. Simulation results show that PNLF-based and clustered PNLF-based pre-EDC schemes save 76.0% and 97.5% complexity with only 0.3 dB receiver sensitivity penalty at 20% forward error correction (FEC) threshold, compared with GS-based pre-EDC scheme in C-band 56 GBaud 80-km on-off keying (OOK) system. Furthermore, the effectiveness of PNLF-based and clustered PNLF-based pre-EDC schemes is also evaluated through the experimental demonstration. Experimental results show that under C-band 32 GBaud 80-km OOK system, bit error ratio (BER) satisfying 20% FEC threshold is achieved by applying PNLF-based and clustered PNLF-based pre-EDC schemes, which save 78.3% and 94.2% complexity with only 0.4 dB receiver sensitivity penalty compared with GS-based pre-EDC scheme, respectively. The research results indicate that the (clustered) PNLF-based pre-EDC scheme has the great application potential for CD compensation in high-performance and low-cost IM/DD optical transmission systems.

10.1364/oe.500401

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Learned Modified Perturbation Backpropagation for Fiber Nonlinear Equalization in High-Symbol-Rate Transmission Systems

SSRN Electronic Journal (2022)

Zhen Wu Du Tang Yingjie Jiang Yueming Lu Yaojun Qiao

A novel learned modified perturbation backpropagation (L-MPBP) algorithm for high-symbol-rate (HSR) coherent optical transmission system is proposed in this paper. As an extension of perturbation backpropagation (PBP), L-MPBP utilizes deep neural network to adjust the position of nonlinear compensation (NLC) in each compensation step and jointly optimize the perturbation coefficients, which greatly improves the performance of nonlinear equalization in HSR transmission systems. The proposed approach is applied to compensate nonlinear signal distortions in a 90-GBaud, PDM16QAM coherent transmission system. The results show that the proposed L-MPBP achieves 1.75 dB effective SNR improvement compared with PBP while without inducing extra complexity. Our research indicates that the L-MPBP algorithm has great application potential for nonlinear compensation in HSR systems.

Backpropagation

Symbol (formal)

10.2139/ssrn.4103714

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Low-complexity Frequency and Time Domain Hybrid Learned Digital Backpropagation

Asia Communications and Photonics Conference 2021 (2021)

Zhen Wu Du Tang Zhongliang Sun Yaojun Qiao

A low-complexity learned digital backpropagation based on frequency and time domain hybrid chromatic dispersion compensation is proposed, which reduces the complexity significantly compared to the existing implementation without sacrificing performance.

Backpropagation

10.1364/acpc.2021.t4a.71

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Low-complexity optimized detection with cluster assisting for C-band 64-Gb/s OOK transmission over 100-km SSMF

Optics Express (2023)

Fei Xie Shuangyue Liu Xiaoqian Huang Han Cui Du Tang

In this paper, a low-complexity optimized detection scheme consisting of a post filter with weight sharing (PF-WS) and cluster-assisted log-maximum a posteriori estimation (CA-Log-MAP) is proposed. Besides, a modified equal-width discrete (MEWD) clustering algorithm is proposed to eliminate the training process during clustering. After channel equalization, optimized detection schemes improve performance by suppressing the in-band noise raised by the equalizers. The proposed optimized detection scheme was experimentally performed in a C-band 64-Gb/s on-off keying (OOK) transmission system over 100-km standard single-mode fiber (SSMF) transmission. Compared with the optimized detection scheme with the lowest complexity, the proposed method saves 69.23% required number of real-valued multiplications per symbol (RNRM) at 7% hard-decision forward error correction (HD-FEC). In addition, when the detection performance reaches saturation, the proposed CA-Log-MAP with MEWD saves 82.93% RNRM. Compared with the classic k-means clustering algorithm, the proposed MEWD has the same performance without a training process. To the best of our knowledge, this is the first time clustering algorithms have been applied to optimize decision schemes.

Amplitude-shift keying

10.1364/oe.493249

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Impact of Super-Gaussian Distribution on System Gain of Probabilistic Shaping 64QAM

Zhongliang Sun Du Tang Yingjie Jiang Zhen Wu Yaojun Qiao

We investigated the gain provided by optimal-super-Gaussian in the DP-PCS-64QAM system. Results indicate that the maximum 0.24/0.18/0.15-dB $Q^{2}$ factor gain is achieved compared with Maxwell-Bolzmann distribution in the 96-GBaud 500/1000/1500-km transmission system, respectively.

Transmission system

10.1109/oecc56963.2023.10209724

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