Simultaneous Detection of Anomaly Points and Fiber types in Multi-span Transmission Links Only by Receiver-side Digital Signal Processing

Sasai, Takeo; Nakamura, Masanori; Okamoto, Seiji; Hamaoka, Fukutaro; Yamamoto, Shuto; Yamazaki, E.; Nishizawa, Asuka Matsushita Hideki; Kisaka, Yoshiaki

doi:10.1364/ofc.2020.th1f.1

Cited by 24 publications

(23 citation statements)

References 2 publications

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“…This paper is an invited extension of our work presented in [20], where an optical fiber power profile and individual frequency responses of multiple optical filters were successfully obtained. This study extends [20] and our previous works [19] [21] [22] from the following perspectives:…”

supporting

confidence: 88%

“…Accordingly, Tanimura et al have demonstrated the signal power (loss) profile extraction of a 260km multi-span link from only received signals using a correlation method (CM) [18]. Our previous studies and other groups [19]- [23] have shown that not only the power profile but also CD maps, amplifiers' gain spectra, and the passband narrowing (PBN) at optical filters can be estimated. Since these methods reveal optical components' characteristics in the fiber propagation direction with digital signal processing (DSP), we call these techniques digital longitudinal monitoring (DLM) here.…”

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confidence: 99%

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Digital Longitudinal Monitoring of Optical Fiber Communication Link

Sasai

Nakamura

Yamazaki

et al. 2022

J. Lightwave Technol.

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Optical transmission links are generally composed of optical fibers, optical amplifiers, and optical filters. In this paper, we present a channel reconstruction method (CRM) that extracts physical characteristics of multiple link components such as longitudinal fiber losses, chromatic dispersion (CD), multiple amplifiers' gain spectra, and multiple filters' responses, only from receiverside (Rx) digital signal processing (DSP) of data-carrying signals. The concept is to reconstruct a virtual copy of an actual transmission channel in the digital domain, where optical fibers and amplifiers are modeled as the split-step Fourier method for the Manakov equation while optical filters are emulated as complex-valued finite impulse response filters. We estimate the model parameters such as losses, CD, gains, and filter responses from boundary conditions, i.e., transmitted and received signals. Experimental results show that, unlike traditional analog testing devices such as optical time-domain reflectometers and optical spectrum analyzers, CRM visualizes multi-span characteristics of fibers, amplifiers, and filters in Rx DSP, and thus localizes anomaly components among multiple ones without direct measurement.

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confidence: 88%

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confidence: 99%

Digital Longitudinal Monitoring of Optical Fiber Communication Link

Sasai

Nakamura

Yamazaki

et al. 2022

J. Lightwave Technol.

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“…Adagrad [17] and Adam [18]); (iv) simultaneous optimization of nonlinear and linear coefficients enables discriminative measurement of the linear responses before and after the nonlinearity (and vice versa) at once due to the non-commutativity of nonlinear and linear phenomena. Similar ideas can be seen in the context of fiber nonlinearity compensation [19] and the estimation of longitudinal fiber loss and dispersion profiles [20].…”

Section: Introductionmentioning

confidence: 62%

“…If the estimation is not simultaneous such as small-signal measurement and low-frequency measurement [7], the estimated responses will be the combined version of each response and not be separated. As a different example of distinguishing cascaded linear response, the estimation of fiber nonlinearity and dispersion (linear response) profile along the transmission fiber has successfully demonstrated in [20] on the basis of the simultaneous learning of the nonlinear and linear coefficients in nonlinear Schrödinger equation, which is also composed of concatenated nonlinear and linear operations.…”

Section: Learning Algorithmmentioning

confidence: 99%

Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters

Sasai¹,

Nakamura²,

Yamazaki³

et al. 2020

Opt. Express

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We present a simple nonlinear digital pre-distortion (DPD) of optical transmitter components, which consists of concatenated blocks of a finite impulse response (FIR) filter, a memoryless nonlinear function and another FIR filter. The model is a Wiener-Hammerstein (WH) model and has essentially the same structure as neural networks or multilayer perceptrons. This awareness enables one to achieve complexity-efficient DPD owing to the model-aware structure and exploit the well-developed optimization scheme in the machine learning field. The effectiveness of the method is assessed by electrical and optical back-to-back (B2B) experiments, and the results show that the WH DPD offers a 0.52-dB gain in signal to noise ratio (SNR) and 6.0-dB gain in optical modulator output power at a fixed SNR over linear-only DPD.

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“…In this method, characteristic information of optical signals is collected from a digital signal processor (DSP) and other optical devices in the receiving end transponders. Some similar methods utilize the signal-to-noise ratio (SNR) with estimations of end-to-end optical channels using machine learning or an analytical model such as Gaussian noise to localize anomalies [3][4] or utilize nonlinear and dispersion coefficients using digital backpropagation to localize optical excess loss points [5]. The proposed method can be potentially used to cover a wide range of failure patterns that may occur in the optical transport network by utilizing various parameters.…”

Section: Introductionmentioning

confidence: 99%

Silent Failure Localization on Optical Transport System

Date

Kubo

Kawasaki

et al. 2021

IEEE Photon. Technol. Lett.

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A silent failure is a kind of failure that existing optical devices or equipment cannot detect although the failure actually happens. This failure makes it more difficult for maintenance operators to identify the fault point, which potentially deteriorates the reliability of the network. To address this issue, we propose a unique silent failure localization method using characteristic information obtained from the optical devices and equipment. As an example of the silent failures, a wavelength selective switch (WSS) failure is studied, and we propose a detection and localization scheme based on the method to use in a WSS failure scenario. Results of a field experiment revealed that the proposed scheme properly localize the fault point with an accuracy of within 4%.

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Simultaneous Detection of Anomaly Points and Fiber types in Multi-span Transmission Links Only by Receiver-side Digital Signal Processing

Abstract: We experimentally demonstrate simultaneous localization of optical excess loss points and spans with different dispersion in multi-span fiber links using a neural-network based digital backpropagation.

Cited by 24 publications

References 2 publications

Digital Longitudinal Monitoring of Optical Fiber Communication Link

Digital Longitudinal Monitoring of Optical Fiber Communication Link

Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters

Silent Failure Localization on Optical Transport System

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