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    OPTICAL NETWORK PERFORMANCE EVALUATION USING A HYBRID NEURAL NETWORK
    3.
    发明申请
    OPTICAL NETWORK PERFORMANCE EVALUATION USING A HYBRID NEURAL NETWORK 有权

    公开(公告)号：US20210111794A1

    公开(公告)日：2021-04-15

    申请号：US17106143

    申请日：2020-11-29

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yue-Kai HUANG ,  Shaoliang ZHANG ,  Ezra IP ,  Jiakai YU

    IPC: H04B10/079 ,  G06N3/04

    Abstract: Aspects of the present disclosure describe systems, methods. and structures in which a hybrid neural network combining a CNN and several ANNs are shown useful for predicting G-ONSR for Ps-256QAM raw data in deployed SSMF metro networks with 0.27 dB RMSE. As demonstrated, the CNN classifier is trained with 80.96% testing accuracy to identify channel shaping factor. Several ANN regression models are trained to estimate G-OSNR with 0.2 dB for channels with various constellation shaping. Further aspects include the tuning of existing optical networks and the characterization of retrofit/upgraded optical networks to estimate capacity—both aspects employing our inventive hybrid neural network methodology.

    OPTICAL FIBER NONLINEARITY COMPENSATION USING NEURAL NETWORKS
    4.
    发明申请
    OPTICAL FIBER NONLINEARITY COMPENSATION USING NEURAL NETWORKS 审中-公开

    公开(公告)号：US20190393965A1

    公开(公告)日：2019-12-26

    申请号：US16449319

    申请日：2019-06-21

    Applicant: NEC Laboratories America, Inc.

    Inventor： Shaoliang ZHANG ,  Fatih YAMAN ,  Eduardo RODRIGUEZ ,  Yoshihisa INADA ,  Kohei NAKAMURA ,  Takanori INOUE

    IPC: H04B10/61 ,  H04B10/2543 ,  G06K9/62 ,  H04L27/20 ,  G06N3/08 ,  H04B10/2531 ,  H04L27/26

    Abstract: Aspects of the present disclosure describe systems, methods and structures for optical fiber nonlinearity compensation using neural networks that advantageously employ machine learning (ML) algorithms for nonlinearity compensation (NLC) that advantageously provide a system-agnostic model independent of link parameters, and yet still achieve a similar or better performance at a lower complexity as compared with prior-art methods. Systems, methods, and structures according to aspects of the present disclosure include a data-driven model using the neural network (NN) to predict received signal nonlinearity without prior knowledge of the link parameters. Operationally, the NN is provided with intra-channel cross-phase modulation (IXPM) and intra-channel four-wave mixing (IFWM) triplets that advantageously provide a more direct pathway to underlying nonlinear interactions.

    VARIABLE BIT-RATE QPSK TRANSMITTER AND METHOD EMPLOYING POLARIZATION MANIPULATION
    8.
    发明申请
    VARIABLE BIT-RATE QPSK TRANSMITTER AND METHOD EMPLOYING POLARIZATION MANIPULATION 有权
    可变比特率QPSK发射机和采用极化操作的方法

    公开(公告)号：US20130108270A1

    公开(公告)日：2013-05-02

    申请号：US13667708

    申请日：2012-11-02

    Applicant: NEC Laboratories America, Inc.

    Inventor： Shaoliang ZHANG ,  Dayou QIAN ,  Junqiang HU ,  Lei XU ,  Ting WANG

    IPC: H04J14/06

    CPC classification number: H04J14/06 ,  H04B10/5055

    Abstract: Disclosed are universal QPSK transmitter structures and methods for generating different QPSK signals exhibiting different polarization schemes, namely PolMux, PolMod and PolSw. The bit rate of the generated signals is variable, thereby allowing the transmitter to adjust to varying network traffic conditions. Advantageously, the generated signals may be detected by analog receivers (PolSw-QPSK) and coherent receivers (PolMux-QPSK, PolMod-QPSK, and PolSw-QPSK).

    Abstract translation: 公开了用于产生表现出不同偏振方案的不同QPSK信号的通用QPSK发射机结构和方法，即PolMux，PolMod和PolSw。 所产生的信号的比特率是可变的，从而允许发射机适应不同的网络业务状况。 有利地，所产生的信号可以由模拟接收机（PolSw-QPSK）和相干接收机（PolMux-QPSK，PolMod-QPSK和PolSw-QPSK）来检测。

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