Descripción del proyecto
Optimización de la comunicación transmitiendo solo los datos pertinentes
Los sistemas de comunicación modernos se caracterizan por una necesidad cada vez mayor de tener mayores velocidades de transmisión de datos, impulsada por una variedad de servicios emergentes. Sin embargo, el intercambio de grandes volúmenes de datos de poca relevancia desperdicia recursos escasos y críticos para el medio ambiente, lo que conlleva mayores costes y complejidad en lugar de ganancias en la toma de decisiones. El equipo del proyecto 6G-GOALS, financiado con fondos europeos, aborda el problema avanzando hacia comunicaciones semánticas y orientadas a los objetivos, integrando nuevos marcos teóricos con arquitecturas y protocolos impulsados por inteligencia artificial, esenciales para procesar los datos estrictamente pertinentes para transmitir el significado semántico o cumplir un objetivo. Además, desarrolla protocolos de datos eficientes adaptables a la dinámica de la red y a los objetivos de comunicación. Con los avances en la representación semántica de datos, el razonamiento distribuido y las tecnologías inalámbricas ecológicas, el objetivo de 6G-GOALS es lograr una transformación importante en las comunicaciones móviles.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
- HORIZON.2.4 - Digital, Industry and Space Main Programme
Tema(s)
Régimen de financiación
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinador
75015 PARIS 15
Francia