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High-reliability Low-latency Communications with Network Coding

Project description

Improving the reliability and latency of artificial intelligence and machine learning networks

Low-latency communication is becoming increasingly vital with the emergence of latency-sensitive applications such as smart grids and factories, and the Internet of Things. High-reliability low-latency (HRLL) communications aim to meet many applications’ enormous requirements for reliability and latency. Network coding has the potential to improve reliability, latency and data rates. However, very little research on network coding for HRLL communications has been performed. The EU-funded RACOON project aims to conduct studies to determine the key limits of HRLL networks with network coding. It will optimise network coding schemes and suggest efficient communication approaches that will improve the future latency and reliability of critical applications.

Objective

With various emerging latency-sensitive applications, e.g. V2V (vehicle-to-vehicle) automation, smart power systems (i.e. smart grids), Internet of things (IoT) and smart factory (industry 4.0) low-latency communication is becoming more and more important. To meet increasing demands, there have been substantial research activities on low-latency communications recently. Meanwhile, many applications also have high requirements on reliability. These schemes with high requirements on reliability and latency are often termed high-reliability low-latency (HRLL) communications. A common approach to achieve low-latency is finite length coding/transmission blocks. However, due to finite code length, it is rather challenging to achieve high reliability and low latency simultaneously. Moreover, in many scenarios, high data rates are also needed. Thus, it is rather valuable to study communication and coding schemes capable of simultaneously improving reliability, latency and rates. Network coding, originally proposed for increasing network throughput, has shown benefits in latency, throughput and reliability, respectively. However, the study of network coding for HRLL communications is still very limited. Thus, the main objective of the project is to systematically investigate network coding for HRLL communications. We will find the fundamental limits of HRLL networks with network coding. We will optimize network coding schemes and propose efficient communication strategies to improve latency and reliability performance under practical constraints. The outgoing mobility will be hosted Electrical Engineering department, Princeton University, USA, with excellent academy environments and the applicant will be trained in advanced knowledge, management and pedagogy skills, in addition to research topics and methods.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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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-IF-GF - Global Fellowships

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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-IF-2018

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Coordinator

KUNGLIGA TEKNISKA HOEGSKOLAN
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.

€ 190 559,04
Address
BRINELLVAGEN 8
100 44 STOCKHOLM
Sweden

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Region
Östra Sverige Stockholm Stockholms län
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.

€ 190 559,04

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