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

Project description

Streamlining communication by transmitting only relevant data

Modern communication systems are characterised by an ever-rising need for higher data rates, fuelled by a variety of emerging services. However, the exchange of large volumes of low-relevance data wastes scarce and environmentally critical resources, bringing costs and complexity rather than gains in decision-making. The EU-funded 6G-GOALS project approaches the problem by moving towards semantic and goal-oriented communications, integrating new theoretical frameworks with AI-enabled architectures and protocols, essential to distilling the data that are strictly relevant to conveying the semantic meaning or to fulfilling a goal. Moreover, it develops data-efficient protocols adaptable to network dynamics and communication objectives. With advances in semantic data representation, distributed reasoning and green wireless technologies, 6G-GOALS aims to achieve a significant transformation in mobile communications.

Objective

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.

Coordinator

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
Net EU contribution
€ 673 644,50
Address
RUE LEBLANC 25
75015 PARIS 15
France

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
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Total cost
€ 673 644,50

Participants (8)

Partners (3)