NEC Labs America Attends the 2024 European Conference on Optical Communication (ECOC) in Frankfurt, Germany

September 21, 2024||inEvents|tagsECOC, ECOC2024, andrea d'amico, eduardo mateo, ezra ip, fatih yaman, giacomo borraccini, ming fang huang, optical networking sensing, optical networks, sarper ozharar, ting wang, yangmin ding, yue kai huang, zhuocheng jiang

Our optical networking & sensing team has arrived in Frankfurt for the 2024 European Conference on Optical Communication (ECOC) and is excited to present many papers and tutorials this week listed below. Please follow this page and our social media channels for schedule updates.

ECOC2024 SMM

Event Schedule

Monday, 9/23/24

Fibre Sensing with and for Optical Networks

Ezra Ip (Presenter, NEC Labs America) (Note: this is a tutorial only)

SC8: Sensing And Microwave Photonics

Tuesday, 9/24/2024

First Field Demonstration of Hollow-Core Fibre Supporting Distributed Acoustic Sensing and DWDM Transmission

Session: Th1F.1 Time: 09:00

Ezra Ip (Presenter, NEC Labs America), Ming-Fang Huang (NEC Labs America), Yue-Kai Huang (NEC Labs America), Junqiang Hu (NEC Labs America), Giacomo Borraccini (NEC Labs America), Andrea D’Amico (NEC Labs America), Glenn Wellbrock (Verizon), Tiejun Xia (Verizon), Jamie Lynn (NEC Corp), Danny Peterson (OFS), Brian Mangan (OFS), Kyle Dube (OFS), Benyuan Zhu (OFS), Ting Wang (NEC Labs America) and Koji Asahi (NEC Corp)

Abstract: We demonstrate a method for measuring the backscatter coefficient of hollow-core fibre (HCF), and show the feasibility of distributed acoustic sensing (DAS) with simultaneous 9.6-Tb/s DWDM transmission over a 1.6-km field-deployed HCF cable.

Machine Learning Model for EDFA Predicting SHB Effects

Session: Tu1A.6  Time: 10:15

Fatih Yaman (Presenter, NEC Labs America), Andrea D’Amico (NEC Labs America), Eduardo Mateo (NEC Corp), Takanori Inoue (NEC Corp), Yoshihisa Inada (NEC Corp). Experiments show that machine learning model of an EDFA is capable of modelling spectral hole burning effects machine-learning accurately. As a result, it significantly outperforms black-box models that neglect inhomogeneous effects. Model achieves a record average RMSE of 0.0165 dB between the model predictions and measurements.

Wednesday, 9/25/2024

LOGO Extension for Launch Power Optimization in Multi-Band Disaggregated Optical Networks

Andrea D’Amico (Presenter, NEC Labs America), Bruno Correia (Politecnico di Torino), Vittorio Curri (Politecnico di Torino)

Thursday, 9/26/24

Remote Sensing for Power Grid Fuse Tripping Using AI-Based Fiber Sensing with Aerial Telecom Cables

Zhuocheng Jiang (NEC Labs America), Yue Tian (Presenter, NEC Labs America), Wataru Kohno (NEC Labs America), Sarper Ozharar (NEC Labs America), Yangmin Ding (NEC Labs America), Ting Wang (NEC Labs America), Yiyun Yao (National Renewable Energy Laboratory), Fei Ding (National Renewable Energy Laboratory)

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