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6G-GOALS

Financiado

6G Goal-Oriented AI-enabled Learning and Semantic Communication Networks

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... ver más

31/12/2026

CEA

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENER... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 13 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-12-06

HORIZON-JU-SNS-2023-STREAM-B-01-02: Wireless Communication Technologies... Expected Outcome:The target outcomes include:

I+D

Cerrada hace 1 año

0% 96% 100%

13 Participantes

CEA

673.64K€ | Lider

IMPERIAL COLLEGE OF SCIENCE...

N.D. | Participante

HEWLETTPACKARD FRANCE

138.60K€ | Participante

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Duración del proyecto: 36 meses Fecha Inicio: 2023-12-06
Fecha Fin: 2026-12-31

Líder del proyecto

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENER... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Descripción del proyecto 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.

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