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

Project description

A collaborative vision for 6G networks

In line with the EU’s Digital Decade 2030, the next wave of wireless technology is likely to revolutionise global connectivity. With integrated sensing and communication as a key component of 6G, we will see significant improvements in areas such as autonomous vehicles, logistics, and smart cities. Nevertheless, current technologies have been challenged by single view-based shortcomings in many scenarios. Supported by the Marie Sklodowska-Curie Actions programme, the MICCAS-6G project aims to overcome these challenges by coming up with a groundbreaking multi-view collaboration solution. The project achieves this through synchronisation of multiple distributed base stations, coupled with AI, to ensure reliable and timely data fusion.

Objective

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.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

CHALMERS TEKNISKA HOGSKOLA AKTIEBOLAG
Net EU contribution
€ 236 340,00
Address
-
412 96 Goteborg
Sweden
Region
Södra Sverige Västsverige Västra Götalands län
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data