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.
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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
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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.
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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.
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Quickly developing, upgrading and deploying applications is the core function of the software and IT industry, often achieved through running software on shared hardware (e.g., on data centers) in order to reduce costs and improve profitability. At this point however, the software world appears stuck with inherently insecure and not-so-efficient lightweight virtualization (e.g., containers), because virtual machines are deemed too expensive to use in many scenarios. Unikernels, extremely lightweight VMs, seem like a step towards a solution, but their overwhelming development time and costs hinder their use in real-world settings. Unicore will challenge this status quo by enabling software developers to easily build and quickly deploy lightweight, secure and verifiable images (which we call unikernels) starting from existing applications. Unicore will create a common code base from which to build unikernels, and develop tools that will make the creation of such unikernels as easy as compiling an app for an existing OS, which will enable EU players to lead the next generation of cloud computing services and technology. Such tools will also allow for the creation of lean, efficient operating systems that would be perfectly suitable for resource-constrained devices settings such as IoT. Through its industry-led consortium and its top-notch academic partners, Unicore will ensure exploitation of its technical results through the implementation and operational deployment of multiple use cases. Unicore addresses the work programme’s goals by (1) providing a common code base and tools for code reusability, (2) by developing tools for verification and validation of the generated software, (3) through transparently handling of cross-platform dependencies and by (4) accelerating the full software lifecycle by fully automating several of its stages.
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