The REINDEER project will develop a new smart connect-compute platform with a capacity that is scalable to quasi-infinite, and that offers perceived zero latency and interaction with an extremely high number of embedded devices. It will thereto develop “RadioWeaves” technology, a new wireless access infrastructure consisting of a fabric of distributed radio, computing, and storage resources. RadioWeaves can be deployed as panels mounted on walls and ceilings. It brings a large number of antennas and intelligence close to devices offering consistently excellent service at minimal transmit power and making very efficient usage of network bandwidth and energy. Technologically, RadioWeaves advance the ideas of large-scale intelligent surfaces and cell-free wireless access, two theoretical concepts that bear great promise to offer capabilities far beyond 5G networks. We will characterize channels based on measurements and develop distributed platform architectures to realize the great potential in actual deployments. We will develop protocols and algorithms to establish novel resilient interactive applications that require ‘real-time’ and ‘real-space’ cooperation, for future robotized industrial environments, immersive entertainment, and intuitive care, We will co-design focusing algorithms and protocols for enhanced interaction with many energy-neutral devices. REINDEER will provide experimental proof-of-concept in versatile testbeds. Industrial partners fostering innovation team up with academic experts in the REINDEER consortium. The project will reinforce the technological leadership in Europe and create new business opportunities in beyond 5G infrastructure and network operation both licensed and unlicensed bands, the focused vertical domains, and in private networks. We will execute an ambitious communication plan towards industry, pre-standardisation, and a broad public, disseminate through high-impact publications, and organize topical trainings.

The scope of DYNAMO is to combine the two fields of business continuity management (BCM) and cyber threat intelligence (CTI) to generate a situational awareness picture for decision support across all stages of the resilience cycle (prepare, prevent, protect, response, recover). Professionals of different backgrounds will work together with end-users to develop, refine and combine selected tools into a single platform. In alignment to end-user needs, human factors, high ethical standards and societal impacts, DYNAMO includes the following goals: Resilience assessment as basis for BCM - An assessment with different levels of detail offers with varying existent data a fast or detailed evaluation of the investigated sector and helps to identify critical processes. - End-user data will be integrated to measure determined performance targets. With respect to the functional description, AI-based approaches will be used for a deeper understanding and potential self-learning of the interconnected process. - The results generate knowledge concerning susceptibility and vulnerability of the investigated sector. - The solutions support the BCM with respect to the five resilience phases. Leveraging CTI - CTI will be improved with respect to existing solutions (H2020 ECHO, PANACEA). - The H2020 Early Warning System (EWS) will be extended and integrated. A Malware Information Sharing Platform (MISP) will be used to raise the situational awareness between different security actors. - The CTI approach deliver data that will be integrated into the resilience and BCM approach. The use of AI will support the development. Solutions will be integrated with the Cyber Knowledge Graph to visualize the analysis of threat intelligence. The DYNAMO platform will be able to collect organization’s skills data, elaborate and create custom tailored organisational training to improve organisational resilience which will be demonstrated within three different (cross-)sectoral use-cases.

The last decades witnessed the ever growing effectiveness of Europe-subsidized border protection projects like SIVE and SIVICC. As maritime smuggling from Morocco towards the European borders of Portugal and Spain was combatted more effectively, the criminal modus operandi changed drastically, approaching air routes with cheap and small planes. New drone technology opens opportunity to both manned and unmanned airborne drug transports. Launched from any location and moving at low altitude and speed to mask their presence with the present clutter environment, drones can autonomously reach any landing site under nearly all circumstances. The ALFA system bridges this detection capability gap by drastically improving the situational awareness through the detection of LSS (Low, Small and Slow) manned and unmanned aircraft. ALFA is future-ready as technologies for drone detection will be a part of the system, which will use heterogeneous, easy-to-deploy mobile sensors based on several novel technologies. All sensor data, augmented by other existing sources of information, will be combined using evolved data fusion, providing accurate positional data for targets including eventual indication of the air vehicle type and reliable prediction of its landing site. This information will be communicated to the regional law enforcement units using a secure communication link and mobile device application, drastically improving the reaction time. Final ALFA capabilities will be demonstrated in a realistic operational context using relevant targets and in close cooperation with two principal end users taking part in the consortium. With their active participation, the ALFA system will make a significant contribution to the development of EUROSUR (in particular, cooperating with SIVE and SIVICC) and be suitable for a range of other missions and scenarios such as homeland and event protection and the protection of critical infrastructure.