Multi-View Intelligent Collaborative Communication and Sensing for 6G Networks (MICCAS-6G)

Description du projet

Une vision collaborative pour les réseaux 6G

Conformément à la décennie numérique 2030 de l’UE, la prochaine vague de technologies sans fil devrait révolutionner la connectivité mondiale. Avec la détection et la communication intégrées comme composante clé de la 6G, nous observerons des améliorations significatives dans des domaines tels que les véhicules autonomes, la logistique et les villes intelligentes. Néanmoins, les technologies actuelles se heurtent à des limites liées à une approche fondée sur une vue unique dans de nombreux scénarios. Soutenu par le programme Actions Marie Sklodowska-Curie, le projet MICCAS-6G vise à surmonter ces difficultés en proposant une solution révolutionnaire de collaboration multivue. Le projet y parvient grâce à la synchronisation de plusieurs stations de base distribuées, couplée à l’IA, afin de garantir une fusion des données fiable et rapide.

Objectif

Integrated sensing and communication (ISAC) is emerging as a key cross-domain technology of sixth-generation (6G) networks, with the potential to transform sectors such as autonomous driving, smart cities, and sustainable infrastructure. The MICCAS-6G project (Multi-view Intelligent Collaborative Communication and Sensing) aims to overcome the limitations of conventional single-view ISAC by developing a collaborative multi-view framework where distributed base stations and users jointly sense and communicate. By advancing synchronization, calibration, distributed signal processing, and artificial intelligence (AI), the project seeks to enable accurate, robust, and deployable ISAC in complex real-world environments.

Despite its potential, the MICCAS system faces key challenges. Achieving precise synchronization and calibration across distributed nodes is critical but difficult; heterogeneous measurements from different views complicate data fusion; large-scale networks introduce coordination overhead; and high-dimensional sensing data demands scalable processing. To address these challenges, MICCAS-6G is structured around three integrated work packages: synchronization and calibration (WP1), collaborative sensing algorithms (WP2), and AI-driven data processing (WP3). Together they will establish the foundations of a deployable multi-view ISAC architecture.

Expected outcomes include novel synchronization schemes, low-complexity distributed algorithms, and robust AI-based fusion methods. These results will support applications in mobility, logistics, and public safety, while contributing to EU priorities such as the Digital Decade 2030, the European Green Deal, and Horizon Europe's twin transition. At the same time, the fellowship will broaden the researcher's expertise in wireless communications, machine learning, and project leadership, providing a unique career-building opportunity and positioning to enable him to become an independent research in 6G research.