Description du projet
Rationalisation de la communication en ne transmettant que les données pertinentes
Les systèmes de communication modernes se caractérisent par un besoin sans cesse croissant de débits de données plus élevés, alimenté par de nombreux services émergents. Cependant, l’échange de grandes quantités de données peu pertinentes gaspille des ressources rares et critiques pour l’environnement, entraînant des coûts et une complexité plutôt que des gains dans la prise de décision. Le projet 6G-GOALS, financé par l’UE, aborde le problème en s’orientant vers des communications sémantiques et axées sur les objectifs, en intégrant de nouveaux cadres théoriques avec des architectures et des protocoles basés sur l’IA, essentiels pour distiller les données qui sont strictement pertinentes pour transmettre la signification sémantique ou pour atteindre un objectif. En outre, il développe des protocoles efficaces en termes de données, adaptables à la dynamique du réseau et aux objectifs de communication. Grâce aux progrès réalisés en matière de représentation sémantique des données, de raisonnement distribué et de technologies sans fil écologiques, le projet 6G-GOALS vise à transformer radicalement les communications mobiles.
Objectif
Wireless mobile communication has continually evolved towards higher data rates, with 5G expanding its scope to include massive and ultra-reliable low-latency links. The underlying quest in the wireless evolution has been to solve the technical problem of reliable data exchange between two end-points. 6G-GOALS will take the wireless system design to its next stage by considering the significance, relevance, and value of the transmitted data, transforming the potential of the emerging AI/ML-based architectures into a semantic and goal-oriented communication paradigm. Two trends corroborate the timeliness of 6G-GOALS: (1) the burden on wireless networks by data flows with low semantic content or relevance for the end goal; (2) the increased AI capability of network nodes and devices to extract ‘meaning’ and intention from unreliable data flows. These trends underpin the two main objectives of 6G-GOALS: (1) to reduce data traffic by conveying only the most relevant information; (2) to design data-efficient, robust, and resilient protocols that can adapt to network conditions and communication objectives using modern AI/ML techniques. The research breakthroughs and innovation of 6G-GOALS are three-fold: First, 6G-GOALS will develop AI/ML-empowered semantic data representation, sensing, and compression algorithms combining data-and-model-driven approaches, and work towards exploiting untapped gains from AI-based joint source-channel coding. Second, 6G-GOALS will introduce semantic-oriented solutions for supporting distributed reasoning and time-sensitive communication, generalizing low- latency of 5G by tailoring communication to the actual goal. Finally, 6G-GOALS will introduce wireless technologies for sustainability in energy efficiency, EMF exposure, and spectrum management, by defining the concept of semantic cognitive radio.
Champ scientifique
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- natural sciencescomputer and information sciencesdata sciencedata exchange
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologycognitive radio
Mots‑clés
Programme(s)
- HORIZON.2.4 - Digital, Industry and Space Main Programme
Thème(s)
Régime de financement
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinateur
75015 PARIS 15
France