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6G Intelligent Connectivity And inteRaction for Users and infraStructures

Project description

Advancing Smart, Secure, and Energy-Efficient 6G Connectivity for Future Wireless Networks

The shift to 6G networks faces many challenges. Smart connectivity, low latency, high capacity, enhanced security, and energy efficiency require innovative technological solutions. With the support of the Marie Skłodowska-Curie Actions programme, the 6G-ICARUS project aims to enhance existing technologies to address challenges in 6G networks and shape the future of wireless networks (FWNs), particularly by improving geographic coverage in urban areas. The project will use reconfigurable intelligent surfaces driven by artificial intelligence, channel modelling for mmWave and sub-THz communications, and multi-connectivity solutions. Original hardware and innovative software techniques using machine learning and deep learning will be developed and tested in real-world settings.

Objective

In the context of modern technologies, the transition to 6G networks faces numerous challenges; therefore, novel solutions must be discovered, combined, and tested in order to achieve distributed smart connectivity, imperceptible latency, virtually infinite capacity, improved security/privacy, smart/adaptive networking, and energy efficiency. The 6G-ICARUS project will investigate, combine, and improve on current technologies in order to address numerous obstacles that 6G networks will face in order to define the future wireless networks (FWNs).
6G-ICARUS is focused on FWNs capable of meeting a variety of targets, resulting in better geographic coverage, particularly in urban areas, higher transmission rates, lower latency, provision of diverse services, processing of information generated from a massive volume of heterogeneous sources, inherent resilience to counter potential security threats, and making intelligent decisions. 6G-ICARUS is founded on three pillars: (i) Effective utilisation of reconfigurable intelligent surfaces suitably controlled by artificial intelligence software; (ii) Channel modelling for mmWave/subTHz communications; (iii) Multi-connectivity solutions for 6G mobile communications.
The project will generate novel research results as well as novel original hardware supported by innovative software (techniques, algorithms) based mostly on machine learning and deep learning. Hardware and software will be combined and examined in real-world settings to fulfill certain situations, all of which are matched with real-world applications. There will be separate Proof of Concept studies to validate the technologies and methodologies under consideration.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff Exchanges

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Call for proposal

(opens in new window) HORIZON-MSCA-2022-SE-01

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Coordinator

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Net EU contribution
€ 138 000,00
Address
KEDEA BUILDING, TRITIS SEPTEMVRIOU, ARISTOTLE UNIVERSITY CAMPUS
546 36 THESSALONIKI
Greece
Region
Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Participants (7)

Partners (14)