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

Descripción del proyecto

Una visión colaborativa para las redes 6G

En consonancia con el Programa Estratégico de la Década Digital para 2030 de la Unión Europea es probable que la próxima generación de tecnología inalámbrica revolucione la conectividad mundial. Dado que la integración de sensores y comunicaciones es un componente clave de la 6G, veremos mejoras significativas en ámbitos como los vehículos autónomos, la logística y las ciudades inteligentes. No obstante, las tecnologías actuales se han visto limitadas por las deficiencias propias de los sistemas basados en una única vista en muchos casos. Con el apoyo de las acciones Marie Skłodowska-Curie, el proyecto MICCAS-6G tiene como objetivo superar estos retos mediante el desarrollo de una solución innovadora de colaboración multivista. El proyecto lo consigue mediante la sincronización de múltiples estaciones base distribuidas, combinada con inteligencia artificial, para garantizar una fusión de datos fiable y oportuna.

Objetivo

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.