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REAL-time monitoring and mitigation of nonlinear effects in optical NETworks

Objective

The exponential surge in the global data traffic driven by the skyrocketing proliferation of different bandwidth-hungry on-line services, such as: cloud computing, on-demand HD video streams, on-line business analytics and content sharing, sensor networks, machine-to-machine traffic arising from data-centre applications, the Internet of Things, and various other broadband services, brings about the escalating pressure on the speed (capacity) and quality (bit error rate) characteristics of information systems. It is well recognized nowadays that rapidly increasing data rates in the core fibre communication systems are quickly approaching the limits of current transmission technologies, many of which were originally developed for communication over linear (e.g. radio) channels. It is widely accepted that the nonlinear transmission effects in optical fibre represent now a major limiting factor in modern fibre-optic communication systems. Nonlinear properties make optical fibre channels considerably different from wireless and other traditional linear communications channels. There is a clear need for development of radically different methods for coding, transmission, and (pre & post) processing of information that take the nonlinear properties of the optical fibre into account and for training of a new generation of engineers with expertise in: optical communications, nonlinear science methods, digital signal processing (DSP), design of implementable algorithms. From the industry perspectives, design of practical and implementable processing algorithms requires knowledge of ASICs and real world conditions and restrictions. The mutli-national & multi-interdisciplinary REAL-NET project will provide timely doctoral training for 6 PhD students through industry relevant research in the fast growing area of high practical relevance and will lead to development of novel practically implementable disruptive techniques for fibre-optic communications.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-ITN-2018

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Coordinator

ASTON UNIVERSITY
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 606 345,12
Address
ASTON TRIANGLE
B4 7ET Birmingham
United Kingdom

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Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 606 345,12

Participants (3)

Partners (2)

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