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Alan E Willner - One of the best experts on this subject based on the ideXlab platform.

  • ANN-Based Optical Performance Monitoring of QPSK Signals Using Parameters Derived From Balanced-Detected Asynchronous Diagrams
    IEEE Photonics Technology Letters, 2011
    Co-Authors: Jeffrey A. Jargon, Loukas Paraschis, Alan E Willner
    Abstract:

    We demonstrate a technique of using artificial neural networks trained with parameters derived from asynchronous diagrams for Optical Performance Monitoring of quadrature phase-shift-keying (QPSK) data signals. We show that asynchronous diagrams generated from balanced detection give superior results compared to single-ended detection in a 100 Gb/s QPSK system. Experimental demonstration verifies the effectiveness of the proposed technique.

  • Optical Performance Monitoring for the next generation Optical communication networks
    Optical Fiber Technology, 2010
    Co-Authors: Changyuan Yu, Alan E Willner
    Abstract:

    Abstract Today’s Optical networks function are in a fairly static fashion and are built to operate within well-defined specifications. This scenario is quite challenging for next generation high-capacity systems, since network paths are not static and channel-degrading effects can change with temperature, component drift, aging, fiber plant maintenance and many other factors. Moreover, we are far from being able to simply “plug-and-play” an Optical node into an existing network in such a way that the network itself can allocate resources to ensure error-free transmission. Optical Performance Monitoring could potentially enable higher stability, reconfigurability, and flexibility in a self-managed Optical network. This paper will describe the specific fiber impairments that future intelligent Optical network might want to monitor as well as some promising techniques.

  • Optical Performance Monitoring: Perspectives and challenges
    Optical Performance Monitoring, 2010
    Co-Authors: Alan E Willner, Jeng-yuan Yang
    Abstract:

    Today's network infrastructure is required to adapt for anticipated future growth and be capable of detecting impairments and identify threats, intentional or otherwise. This deficiency in the measurement science and metrology of networks leads to the overbuilding and inefficient use of current networks. The ability to monitor both the data quality and the network paths' physical state in a real-time fashion has traditionally proven difficult due to the large number of impairments, variety of data formats, variety of data rates, and the continuous growth and change of the network structure. Specific technical challenges include localizing any security breaches to specific points in the network, isolating the specific cause and location of a degrading effect, rather than simply sound an alarm, and the monitor should accommodate various advanced modulation formats. It would be desirable to enable “smart” and secure network operation, such that the network can provide accurate and repeatable network Performance Monitoring. The desirable functionalities of Optical Performance Monitoring highly depend on the system's intelligence, complexity, and bit rates. The right balance should be kept among Monitoring coverage, sensitivity, and cost.

  • Optical Performance Monitoring of PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection
    2009
    Co-Authors: Jeffrey A. Jargon, Loukas Paraschis, Ronald A. Skoog, Zhensheng Jia, Alan E Willner
    Abstract:

    We demonstrate a technique of using artificial neural networks for Optical Performance Monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using balanced detection. We also compare the results with the case of using direct detection.

  • Optical Performance Monitoring to enable robust and reconfigurable Optical high-capacity networks
    MILCOM 2009 - 2009 IEEE Military Communications Conference, 2009
    Co-Authors: Alan E Willner, Jeng-yuan Yang
    Abstract:

    The desirable features of future Optical high-capacity networks include higher stability, reconfigurability and security. In order to enable robust and self-managed automated operation, the network itself should be able to monitor the physical state of the network, automatically diagnose and repair the network, dynamically allocate resources, and redirect traffic. Optical Performance Monitoring can agilely provide valuable information such that routing tables themselves can dynamically reflect the state of the physical links to the network controller. The key features of the desired monitor include simplicity in implementation, cost-effectiveness, transparency to data formats and rates, and isolation of the specific impairment from the others. We propose and demonstrate novel Optical Performance Monitoring techniques using cost-effective photonic components and artificial neural network-assisted signal processing to continuously monitor multiple impairments and to accommodate different high-speed advanced modulation formats. These Monitoring techniques can facilitate rapid identification and isolation of impairments to enhance the dynamic management of the Optical high-capacity networks.

Yun Chur Chung - One of the best experts on this subject based on the ideXlab platform.

  • Optical Performance Monitoring based on RF pilot tones
    Optical Performance Monitoring, 2010
    Co-Authors: Paul K. J. Park, Yun Chur Chung
    Abstract:

    This chapter reviews various Optical Performance Monitoring techniques based on the pilot tone. These techniques utilize a small sinusoidal signal, operating at a unique frequency, imposed on each WDM channel. As a result, various Optical parameters, such as Optical channel powers, wavelengths, and Optical paths of multiple WDM channels can be monitored simultaneously without the need to demultiplex them. However, in the case of using the AM pilot tone, the receiver sensitivity in on-off keying (OOK) system can be degraded as the pilot tone interferes with the data signal. If necessary, one can avoid this AM-tone-induced sensitivity degradation simply by utilizing a high-pass filter within the Optical receiver. On the other hand, when the frequency of the AM pilot tone is lower than 10 MHz, the Performance of this Monitoring technique can be seriously deteriorated by the ghost tones originating from XGM and SRS. In fact, these effects limit the maximum network size that this Monitoring technique can support. Thus, it appears that the Monitoring technique based on the low-frequency AM pilot tone is most useful for metro network applications. For the use of this Monitoring technique in the long-haul network, one needs to either restrict the number of channels that can be monitored at a time (e.g., by using an Optical band pass filter) or increase the tone frequency to be higher than 300 MHz. It is also possible to mitigate this limitation by utilizing the PM and FM pilot tones.

  • Optical Performance Monitoring technique using asynchronous amplitude and phase histograms
    Optics express, 2009
    Co-Authors: H. Y. Choi, Y. Takushima, Yun Chur Chung
    Abstract:

    We report a new Optical Performance Monitoring technique based on the amplitude and phase histograms of the Optical signal. The amplitude and phase histograms are obtained by using an intradyne receiver and the asynchronous delay-tap sampling method. From these histograms, we can evaluate the amplitude and phase Q-factors of the Optical signal regardless of its modulation format. In addition, by using these Q-factors, we can estimate the bit-error rate (BER) of the Monitoring signal.

  • Optical Performance Monitoring in WDM Networks: Progresses and Challenges
    LEOS 2007 - IEEE Lasers and Electro-Optics Society Annual Meeting Conference Proceedings, 2007
    Co-Authors: Yun Chur Chung
    Abstract:

    In this paper, we will review the current status of these techniques and discuss the remaining challenges. In addition, we will attempt to raise the standard issues required for the utilization of Optical Performance Monitoring techniques in the next-generation Optical transport networks.

  • Optical Performance Monitoring techniques based on pilot tones for WDM network applications
    Journal of Optical Networking, 2004
    Co-Authors: Ho-chul Ji, Keun Joo Park, H.s. Chung, Yun Chur Chung
    Abstract:

    Feature Issue on Optical Performance Monitoring (OPM). We report on the pilot-tone-based Optical Performance Monitoring techniques for use in the wavelength-division multiplexing (WDM) network. We first described the operating principle of the pilot-tone-based Monitoring technique and estimated its scalability by analyzing potential problems. We then reviewed the techniques proposed for Monitoring various Optical parameters of WDM signals--such as Optical power, wavelength, Optical path, and cross talk--using pilot tones. We also presented examples of various network elements using the pilot-tone-based Monitoring technique. In addition, we reviewed the pilot-tone-based Monitoring techniques used in adaptive compensators for chromatic dispersion and polarization-mode dispersion, and we discussed their limitations and possible solutions. For example, we demonstrated a simple technique for Monitoring the chromatic dispersion and polarization-mode dispersion simultaneously, without their affecting each other, by scrambling the state of polarization of the Optical signal.

Benjamin J Eggleton - One of the best experts on this subject based on the ideXlab platform.

Deming Liu - One of the best experts on this subject based on the ideXlab platform.

  • transfer learning simplified multi task deep neural network for pdm 64qam Optical Performance Monitoring
    Optics Express, 2020
    Co-Authors: Yijun Cheng, Wenkai Zhang, Ming Tang, Deming Liu
    Abstract:

    We experimentally demonstrate a transfer learning (TL) simplified multi-task deep neural network (MT-DNN) for joint Optical signal-to-noise ratio (OSNR) Monitoring and modulation format identification (MFI) from directly detected PDM-64QAM signals. First, we investigate the quality of amplitude histogram (AH) generation on the Performance of OSNR Monitoring and experimentally clarify the importance of higher electronic sampling rate in order to realize precise OSNR Monitoring for high-order QAM format. Next, by implementing TL from simulation to experiment, when both 10Gbaud PDM-16QAM and PDM-64QAM signals are considered, the accuracy of MFI reaches 100% and the root-mean-square error (RMSE) of OSNR Monitoring is 1.09dB over a range of 14-24dB and 23-34dB for PDM-16QAM and PDM-64QAM, respectively. Meanwhile, the used training samples and epochs can be substantially reduced by 24.5% and 44.4%, respectively. Since single photodetector (PD) and one TL simplified MT-DNN are used, the proposed Optical Performance Monitoring (OPM) scheme with high cost Performance can be applied for advanced modulation formats.

  • multi task deep neural network mt dnn enabled Optical Performance Monitoring from directly detected pdm qam signals
    Optics Express, 2019
    Co-Authors: Yijun Cheng, Ming Tang, Deming Liu
    Abstract:

    We experimentally demonstrate a multi-task deep neutral network (MT-DNN) enabled Optical Performance Monitoring (OPM) for PDM-QPSK/8QAM/16QAM signals, by using the asynchronous amplitude histogram (AAH) after the direct detection. Consequently, we can simultaneously realize the modulation format identification (MFI), baud rate identification (BRI), and Optical signal-to-noise ratio (OSNR) Monitoring simultaneously. In the simulation, when both 20Gbaud and 30Gbaud PDM-QPSK, PDM-8QAM and PDM-16QAM signals are taken into account, the accuracies of both MFI and BRI are 100%. Meanwhile, the root-mean-square error (RMSE) of OSNR Monitoring is 0.58dB over a range of 10-22dB, 14-24dB, and 17-26dB for PDM-QPSK, PDM-8QAM and PDM-16QAM, respectively. Furthermore, the numerical results show that RMSE of OSNR Monitoring is degraded from 0.58dB to 0.97dB, when chromatic dispersion (CD) is accumulated from 0 to 1600ps/nm. Meanwhile, the MFI accuracy is degraded from 100% to 97.25%, and the BRI accuracy remains 100%. When 2.8Gbaud and 9.8Gbaud signals are used for the experimental verification under the condition of back-to-back transmission, the accuracies of MFI and BRI are 100% and 96.8%, respectively, and the RMSE of OSNR Monitoring is 0.76dB. Since only one photodetector (PD) with the asynchronous sampling and one MT-DNN are required, the proposed OPM scheme has the advantage of high cost Performance.

Alan Pak Tao Lau - One of the best experts on this subject based on the ideXlab platform.