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6G-DISAC: 6G for Distributed Intelligent Sensing and Communication

Objective

The 6G-DISAC project aims to bring the integrated sensing and communication (ISAC) vision to life by adopting a holistic perspective with widely distributed intelligent infrastructure compatible with real-world integration constraints and future wireless network flexibility requirements. The project addresses both fundamental and practical challenges, such as tracking connected UEs and passive objects, performing ISAC with many distributed base stations, efficient distributed signal processing and machine learning for semantic ISAC, incorporating extremely large MIMO technologies and reconfigurable intelligent surfaces, and intelligent sensing activation.

6G-DISAC will focus on the distributed implementation of ISAC, unlocking real sensing applications and providing a multi-perspective view of networks in space and time for tangible communication gains. It will bridge theoretical approaches with operational and standards-compatible distributed joint communication and sensing.

6G-DISAC brings together world-leading actors across the value chain, including operators, network vendors, verticals, SMEs, research laboratories, and academic institutions. Together, the 6G-DISAC partners will define use cases, requirements, and design an innovative network architecture. They will also develop novel physical-layer waveforms, distributed sensing and communications methods, optimised resource allocation methods, and protocols. Several demonstrations will validate the key 6G-DISAC concepts. This project will revolutionise various applications, from extended reality and robot-human interaction to vehicular safety functions and improving communication key performance indicators with sensing-aided communications.

Coordinator

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
Net EU contribution
€ 744 987,00
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
€ 744 987,00

Participants (10)