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
Programme(s)
Funding Scheme
MSCA-IF-GF - Global FellowshipsCoordinator
100 44 Stockholm
Sweden