6G-MUSICAL is a ground-breaking project that merges radio sensing and communication technologies to create new paradigms in RF communication. It aims to equip edge infrastructure nodes of 6G with integrated RF/radar-based radio-sensing elements that co-work with communication components. This enables localization, object tracking and 3D imaging, with cm-level precision and resolution. As such, the project will investigate new spectrally and energy efficient system architectures and signals, to facilitate high-rate communication across multi-frequency bands integrated with accurate sensing and localization. Compared to other joint communication and sensing research, 6G-MUSICAL stands out in two ways. First, it considers sensing for both connected and non-connected objects, which is important given the trend towards connecting everything. Second, it addresses the synchronization of edge nodes, which is critical to achieving extreme levels of accuracy and resolution. The project will combine optical and electronic technologies to generate precise and stable references, enabling a network of smart cooperative multi-static radars, within future 6G, bringing new services, high accuracy localization and high-resolution 3D object reconstruction. In the wireless domain, the project will define new waveforms suitable for radio-sensing and communications, exploit compressive sensing techniques and define cooperative multimode sensing and localization algorithms. In the network domain, focus will be on procedures for synchronization/calibration among edge nodes and on compression techniques to enable low overhead transport to a data fusion center of the collected information. The optical/electrical technology will develop and distribute the reference signals and will create novel antennas to address 6G requirements. Machine learning will be used to jointly optimize the system and services. Key technologies will be demonstrated in labs to meet a stringent set of predefined KPIs.

RECITALS aims to build an open-source platform that integrates into a common framework a wide variety of techniques and services for privacy-preserving data sharing and identity management. The platform consists of three main modules: 1) RECITALS core provides a series of fundamental components that can be used as building blocks for constructing more complex services. These include: the distributed ledger, the identity lifecycle manager, the cryptography manager, the anonymization manager as well as the compliance manager for horizontal EU legislation. 2) RECITALS value-added services combine multiple components from RECITALS core into end-to-end pipelines that address specific needs: a self-sovereign wallet, privacy-preserving record linkage, privacy-preserving federated learning, LLM-based user interface, domain-specific compliance manager, privacy-preserving data analytics and explAIner, which sheds light into the decisions taken by trained ML and DL models. 3) Security Manager provides all necessary means for ensuring the resilience of the entire platform. To this end, it covers all aspects of cyber-security, from the analysis of possible cyber-attacks to their automatic detection and mitigation. Special care is taken to equip each component with the state-of-the-art techniques of the corresponding task. As a result, each component acts as a library comprising a wide variety of established methods and can be used independently of the platform, for example by being integrated into any other system that leverages Python's open-source ecosystem. Another goal is to tweak the methods implemented by each component so as to enhance their time efficiency and scalability. The performance of the RECITALS platform will be tested in three demanding industrial use cases, to evaluate and verify its capabilities, while demonstrating how it goes beyond the current state-of-the-art in each considered field.

RIGOUROUS project aspires to identify and address the major cybersecurity, trust and privacy risks threatening the network, devices, computing infrastructure, and next generation of services. RIGOUROUS will address these challenges by introducing a new holistic and smart service framework leveraging new machine learning (ML) and AI mechanisms, which can react dynamically to the ever-changing threat surface on all orchestration layers and network functions. RIGOUROUS new smart service framework is capable of ensuring a secure, trusted and privacy-preserving environment for supporting the next generation of trustworthy continuum computing 6G services along the full device-edge-cloud-continuum on heterogenous multi-domain networks. This includes establishing compliance with the design of software (SW), protocols and procedures, as well as AI-governed mechanisms to cope with the security-related requirements in the full DevOps lifecycle, from the service onboarding up to the day-2 operations. Further the DevOps lifecycle spans from the prevention and detection of anomalies and/or intrusions at different levels (physical or cyber) based on violation of policies or rules, up to their mitigation and policy enforcement. It also comprises the incorporation of the human factor starting from the design until the human-in-the-loop concept in the whole orchestration. Additionally extensive research devoted to realizing advanced security enablers is carried out to bring automation and intelligence to the smart, but also secure, orchestration concept. In brief, RIGOUROUS targets the following key objectives: • Holistic Smart Service framework for securing the IoT-Edge-Cloud continuum lifecycle management • Human-Centric DevSecOps • Model-based and AI-driven Automated Security Orchestration, Trust Management and deployment • Advanced AI-driven Anomaly Detection, decision and Mitigation Strategies • Demonstration of a Set of Industrially Relevant Use Cases in Operational Envi

The 6G Smart Networks of the future will provide the high-performance and energy-efficient infrastructure on which next generation internet and other services can be developed and deployed. 6G will foster an Industry revolution and digital transformation and will accelerate the building of smart societies leading to quality-of-life improvements, facilitating autonomous systems, haptic communication and smart healthcare. To achieve the aforementioned objectives in a sustainable way, it is well understood that new approaches are needed in the way the telco infrastructures are architected, federated and orchestrated. These new approaches call for multi-stakeholder ecosystems that promote synergies among MNOs and owners of all kinds or computational and networking resources that will share the extraordinary costs of yet another generation upgrade from 5G to 6G, while facilitating new business models. It is clear, that the new architecture paradigms bring unprecedented complexity due to the sheer scale and heterogeneity of the orchestration domains involved, that should be matched by equally capable automation capabilities, thus 6G is aiming for the “holy grail” of pervasive AI-driven intelligence, termed as Native AI. However, the multi-stakeholder infrastructures foreseen in 6G as per the “network of networks” concept, will add a level of unprecedented management complexity due to the sheer scale and heterogeneity of the orchestration domains involved. 6G-INTENSE aims to abstract and federate all kinds of computational and communication resources under an internet-scale framework, that is governed by an intelligent orchestration paradigm, termed as DIMO.

The idea of Joint communication and sensing (JCS) capabilities is a revolutionary and innovative solution. A single system has the potential to offer significant advances in various fields, such as smart transportation, smart cities, smart homes, healthcare, security, and environmental monitoring. iSEE-6G extends beyond JCS and propose a Joint Communication, Computation, Sensing, and Power transfer (JCCSP) unified radio platform, which includes all support elements of the proposed solutions in future 6G networks. By integrating, exploiting, and supporting 6G key enabling technologies, iSEE-6G offers a) JCCSP-oriented novel intelligent reconfigurable surfaces (RIS) and agile beamforming array solutions; b) JCCSP-optimized physical layer design including waveform design, frame structure design, channel modeling, precoding/beamforming with respect to open radio access network (O-RAN) architectural paradigm; c) JCCSP-enabled cross-layer schemes design under new capabilities in terms of service-oriented network architecture; and d) JCCSP-implemented system-level solutions for providing new functionalities towards a cell-free 6G network. The iSEE-6G Proof-of-Concept (PoC) focuses in JCCSP use cases in aerial corridors, where UAVs with various roles providing different services coexist and coordinate with each other. In IMEC’s testbed static distributed RUs, and vehicular UEs are additionally included for an emergency response incident. The UAVs monitor the area, estimate and report accurate positioning and provide situational awareness through integrated sensing. In ORO’s testbed 5G waveforms based JCCSP exploit the KPI collection capabilities of it. The operation of the testbed will be extended at an outdoor venue, where UAVs and IoT devices will be deployed to test the Wireless Power Transfer (WPT) capabilities. Edge computational power is used for Public Protection and Desaster Relief (PPDR) monitoring and JCCSP-as-a-Service implementation.