Blind Adaptive Digital Backpropagation for Fiber Nonlinearity Compensation

Zhang, Fangyuan; Zhuge, Qunbi; Qiu, Meng; Zhou, Xingyu; Sowailem, Mohammed; Hoang, Thang M.; Xiang, Meng; Plant, David V.

doi:10.1109/jlt.2017.2785179

Cited by 24 publications

(10 citation statements)

References 19 publications

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“…We calculate the eigenvalues for LR which consists of smoothed mean square error (MSE), the adaptive step length (ASL) and the power for measuring w and N i ˆ( ) w in each step accurately. 4,5 The factor vector can be computed through a series of iterations, which can be written as 4 :…”

Section: Principle Of Algorithmmentioning

confidence: 99%

“…[1][2][3] To solve the signal impairments along with the long-haul fiber link, digital signal processing (DSP) technology has received much attention in recent years. 4 To combat the fiber Kerr nonlinearity in long-distance optical transmission systems, nonlinear compensation (NLC) techniques become an indispensable component of DSP. 5,6 There are various techniques reported for reducing the large computational complexity associated with digital backpropagation (DBP), namely through split-step Fourier methods (SSFM), [7][8][9] Volterra series nonlinear equalizers, [10][11][12] and machine-learning algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…With the development of communication services, such as industrial internet of things, cloud computing and high‐definition video, long‐distance backbone optical transmission systems have been promoted to satisfy the continuously increasing capacity and bandwidth demands 1–3 . To solve the signal impairments along with the long‐haul fiber link, digital signal processing (DSP) technology has received much attention in recent years 4 . To combat the fiber Kerr nonlinearity in long‐distance optical transmission systems, nonlinear compensation (NLC) techniques become an indispensable component of DSP 5,6 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental demonstration of low complexity nonlinear compensation algorithm based on logistic regression

Wang

Tian

Zhang

et al. 2022

Micro & Optical Tech Letters

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In this paper, a novel algorithm based on logistic regression digital backpropagation (LR‐DBP) is proposed to mitigate the effect of dispersion and nonlinearity in a long‐distance optical transmission system. The LR‐DBP can evaluate nonlinear effects by estimating the cross‐entropy error and adjusting the structure of DBP. The experiment is setup to demonstrate an 80 Gbit/s 16QAM signal transmitted across 1000 km single‐mode fiber. The results show that LR‐DBP achieves a 1.8 dB launch power improvement over the dispersion compensation algorithm and a 0.6 dB launch power gain with DBP. The proposed algorithm could obtain with 19.2% computational complexity decrease and 19.6% central processing unit (CPU) running time decrease by calculating the average numbers of real multiplications and CPU running times.

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Section: Principle Of Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental demonstration of low complexity nonlinear compensation algorithm based on logistic regression

Wang

Tian

Zhang

et al. 2022

Micro & Optical Tech Letters

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show abstract

“…The signal processing is data dependent due to the nonlinear nature of the system. Although there have been recent efforts to make the DBP adaptive [30,31], the computational cost is high. As a result, we need a technique that is adaptive, intelligent, and works without any previous knowledge about the photonics/optoelectronic components in the network.…”

Section: Introductionmentioning

confidence: 99%

Brain Inspired Dynamic System for the Quality of Service Control over the Long-Haul Nonlinear Fiber-Optic Link

Naghshvarianjahromi

Kumar

Deen

2019

Sensors

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Brain-inspired intelligence using the cognitive dynamic system (CDS) concept is proposed to control the quality-of-service (QoS) over a long-haul fiber-optic link that is nonlinear and with non-Gaussian channel noise. Digital techniques such as digital-back-propagation (DBP) assume that the fiber optic link parameters, such as loss, dispersion, and nonlinear coefficients, are known at the receiver. However, the proposed CDS does not need to know about the fiber optic link physical parameters, and it can improve the bit error rate (BER) or enhance the data rate based on information extracted from the fiber optic link. The information extraction (Bayesian statistical modeling) using intelligent perception processing on the received data, or using the previously extracted models in the model library, is carried out to estimate the transmitted data in the receiver. Then, the BER is sent to the executive through the main feedback channel and the executive produces actions on the physical system/signal to ensure that the BER is continuously under the forward-error-correction (FEC) threshold. Therefore, the proposed CDS is an intelligent and adaptive system that can mitigate disturbance in the fiber optic link (especially in an optical network) using prediction in the perceptor and/or doing proper actions in the executive based on BER and the internal reward. A simplified CDS was implemented for nonlinear fiber optic systems based on orthogonal frequency division multiplexing (OFDM) to show how the proposed CDS can bring noticeable improvement in the system’s performance. As a result, enhancement of the data rate by 12.5% and the Q-factor improvement of 2.74 dB were achieved in comparison to the conventional system (i.e., the system without smart brain).

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“…In high-bit-rate fiber transmission systems, intrachannel nonlinear effects are main sources of bit errors [1][2][3][4]. While intrachannel cross-phase modulation (IXPM) can be effectively suppressed by strong dispersion management in combination with a return-to-zero (RZ) modulation format, intrachannel four-wave mixing (IFWM) remains a problem which results in intensity deviation in the "1" bits and the generation of ghost pulses in the "0" bits [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Chromatic Dispersion Compensation Schemes in Quasi-linear Transmission System with Intrachannel Four-wave Mixing

Cao¹

2019

dtcse

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In this paper, different chromatic dispersion compensation schemes like pre-, post-, and symmetrical schemes are compared numerically in the presence of intrachannel four-wave mixing (IFWM) for return-to-zero quasi-linear transmission systems. The transmission performances have been compared in terms of the average intensity deviation of the "1" bits and the relative intensity of the ghost pulse (the "0" bits). It is found that, for a fixed amplifier spacing, optimal compensation scheme depends on transmission bit rate. As bit rate increases the performance of pre-compensation becomes better. On the contrary, post-compensation exhibits its advantage more and more as bit rate decreases.

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Blind Adaptive Digital Backpropagation for Fiber Nonlinearity Compensation

Cited by 24 publications

References 19 publications

Experimental demonstration of low complexity nonlinear compensation algorithm based on logistic regression

Experimental demonstration of low complexity nonlinear compensation algorithm based on logistic regression

Brain Inspired Dynamic System for the Quality of Service Control over the Long-Haul Nonlinear Fiber-Optic Link

Comparison of Different Chromatic Dispersion Compensation Schemes in Quasi-linear Transmission System with Intrachannel Four-wave Mixing

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