Opendata, web and dolomites

INNOVATION

Multi-wavelength regeneration technologies for advanced modulation optical signals

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 INNOVATION project word cloud

Explore the words cloud of the INNOVATION project. It provides you a very rough idea of what is the project "INNOVATION" about.

barnes    gain    offers    host    fellow    assembles    fibres    signals    excellence    dr    green    innovation    device    excellent    technologies    ultimate    outputs    network    parametric    spatial    signal    subsystems    proposes    issue    industry    prof    scientific    france    experiences    chinese    crosstalk    alternative    channels    wavelength    shift    telecom    pioneering    sensitive    nielsen    stuart    core    aston    erwan    units    bidirectional    researcher    multiplexing    single    consumption    capacity    commercial    multidisciplinary    ing    lars    optical    optic    skillset    industrial    keying    nonlinear    modulation    ofs    trained    photonic    entitled    train    wen    power    broadband    talented    xtera    hardcore    regeneration    receiving    waveforms    fast    division    pincemin    speed    mpsk    communications    gr    dramatically    competitiveness    switching    fellowship    telecommunications    suppression    oscillation    fibre    uuml    nodes    ner    handling    combining    gt    spectrally    significantly    turitsyn    oscillator    feng    reduce    communication    efficient    training    sergei   

Project "INNOVATION" data sheet

The following table provides information about the project.

Coordinator
ASTON UNIVERSITY 

Organization address
address: ASTON TRIANGLE
city: BIRMINGHAM
postcode: B4 7ET
website: www.aston.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://www.researchgate.net/project/H2020-MSCA-IF-2015-701770-INNOVATION
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-09-15   to  2018-09-14

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ASTON UNIVERSITY UK (BIRMINGHAM) coordinator 183˙454.00

Map

 Project objective

The ultimate goal of this Fellowship, entitled “Multi-wavelength regeneration technologies for advanced modulation optical signals” (INNOVATION) is to train a talented researcher through a research project focused on the development of all-optical regeneration subsystems handling multi-wavelength and advanced modulation signal waveforms in a single device. Focusing on the hardcore issue of multi-wavelength regeneration “how to reduce nonlinear crosstalk for spectrally efficient advanced modulation signals”, the Fellow proposes pioneering concepts including novel nonlinear devices (nonlinear multi-core fibres and phase-sensitive parametric oscillator units), new crosstalk suppression methods (spatial-division-multiplexing and bidirectional oscillation methods). The resulting regeneration subsystems will dramatically reduce cost and power consumption by combining the nonlinear processing with high-speed multiplexing. Finally, the system testing will demonstrate a multi-wavelength (>8 channels), multi-phase-shift-keying (MPSK) signal regeneration in a commercial network, which offers a high-capacity and green technology alternative to core switching nodes. The INNOVATION outputs will significantly increase the competitiveness of European communications industry in broadband technologies. The Fellow – Dr. Feng Wen – will be trained in the fast-growing field of all-optical signal processing, receiving unique training experiences at the host: Aston Institute of Photonic Technologies (Prof. Sergei K. Turitsyn), and industrial partners: Xtera Communications (Dr. Stuart Barnes), France Telecom (Dr. Erwan Pincemin) and OFS (Dr. Lars Grüner-Nielsen). The Fellow will gain a multidisciplinary skillset in telecommunications, as well as fibre-optic and other industrial fields. This project assembles excellent European and Chinese researchers to build a long-term network to enhance EU scientific excellence in optical fibre communication.

 Publications

year authors and title journal last update
List of publications.
2018 F. Wen, C. P. Tsekrekos, Y. Geng, X. Zhou, B. Wu, K. Qiu, S. K. Turitsyn, S. Sygletos
All-optical multilevel amplitude regeneration in a single nonlinear optical loop mirror
published pages: 12698, ISSN: 1094-4087, DOI: 10.1364/OE.26.012698
Optics Express 26/10 2019-06-13
2018 Baojian Wu, Feng Wen
Optical modulation and regeneration technology
published pages: , ISSN: , DOI:
2019-06-13
2017 Yong Geng, Baojian Wu, Feng Wen, Heng Zhou, Xinyu Zhou, Kun Qiu
Clock-pump four-wave-mixing-based multichannel all-optical regeneration in silicon waveguide
published pages: 1, ISSN: 0091-3286, DOI: 10.1117/1.OE.56.11.117102
Optical Engineering 56/11 2019-06-13

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "INNOVATION" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "INNOVATION" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

LearningEmotions (2020)

Emotion Recognition: A Statistical Learning Approach

Read More  

NEUSEQBOT (2020)

NEUro cerebellar recurrent network for motor SEQuence learning in neuroroBOTics

Read More  

ItalianWoolf (2019)

Virginia Woolf and Italian Readers

Read More