SCENE is building an integrated security system for vehicular network, for both IoT based data collection and multimedia secured content delivery. The content delivery platform is intelligent enough to be deployed in both IoT mode and in the stand alone mode to deliver contents to subscribed smart application. SCENE adopts a radically different view on the type of infrastructure needed for mid-size municipalities : SCENE is an open mobile platform for smart city applications, supporting different IoT wireless access networks (while providing an excellent level of infrastructure cybersecurity. By using the public transport network, municipalities will achieve complete coverage with less investment in infrastructure. SCENE is based on six pillars:, security, system integrity, scalability, elasticity, visualization, interoperability with external services, and easy management. In order to achieve these six pillars, four modules will be introduced. A security module for both data and communication which will be provided by CEA. Second, a smart gateway for mobile IoT/Content delivery control, aggregation and transmission provided by JCPC. The proposed gateway ensures both scalability and elasticity. Third, a service platform that proposes a powerful IoT oriented architecture to provide interoperability and added value services for integration and data analytics, ensuring scalability and elasticity of the system as well as system integrity by ALMAVIVA. The proposed service platform supports integrated data analytics services among other services. Aa dashboard module is introduced to ensure the ease of management of all system components as well as data visualization. The overall system integration will be implemented by VISIONWARE together with the different municipalities involved. The bus network of Catania in the Italian Sicily Region will be the first SCENE field trial, coupled with a field trial in Rennes city in France, and in Portugal.

5G is arguably the most energy-hungry mobile technology yet, with a scalability close to the limit of what the planet and society can environmentally and practically afford. There is already plenty of research towards sustainable and zero-energy end-devices, but huge gains in the energy efficiency and sustainability of the power-hungry network infrastructure behind them are still to be achieved. SAMBAS’ project vision represents a holistic approach in driving a significantly more sustainable B5G/6G wireless communications network, where joint considerations of radical innovations at radio, network, and service levels will lead to critically reduced power needs. SAMBAS contributes towards this goal by developing an innovative sustainable millimetre wave (mmWave) micro base station (µBS) that makes effective use of renewable energy harvesting in combination with extremely energy-efficient hardware, and communications protocols to reduce power consumption >99%. At the networking level, we aim to reduce signalling overhead and energy requirements by an order of magnitude through distributed in-band context dissemination and energy-aware networking. Finally, through joint energy-aware network and cloud resource optimization, a sustainable end-to-end mmWave-based system will be developed. We target B5G performance in terms of latency, ultra-high capacity data rates (>44 Gb/s), reliability, and range, while targeting a 99% reduction in the reliance on non-renewable energy sources. An integrated prototype will be validated via a multi-user indoor interactive virtual reality application, and an outdoors vehicular communications application.

To provide reliable connectivity of extremely high data rates in the Tbit/s regime and almost ‘zero-latency’ in networks beyond 5G, TERRANOVA proposes to extend the fibre-optic systems Quality of Experience and performance reliability to wireless, by exploiting frequencies above 275GHz for access and backhaul links. To this end, TERRANOVA will take advantage of breakthrough novel technology concepts, namely the design of baseband signal processing for the complete optical and wireless link, the development of H-band (>275GHz) RF front ends, as well as THz network information theory framework, channel and interference modelling in the THz regime, waveforms and high-order modulation schemes, pencil beam antenna arrays and multiple-access schemes and cashing techniques tailored to the particularities of the THz regime and the associated extremely large bandwidth. Sustaining a flexible and ubiquitously available Tbit/s access network in systems beyond 5G will require rethinking of design principles and architectures, mainly replacing the notion of joint optimisation with that of ‘co-design’, e.g. optical and wireless, backhaul and access, channel models and waveforms, signals and coding, beam-patterns and medium access schemes and so on. Most importantly, TERRANOVA will identify, assess and address the critical technology gaps and devise the appropriate enablers, expected to catalyse the road to beyond 5G. TERRANOVA innovations and technologies will be demonstrated by means of a Proof-of-Concept experimental platforms, validating and assessing the feasibility and performance of the THz wireless transceiver, the pencil beam based tracking and the co-design of fibre-optical and wireless principles. To realise this vision, TERRANOVA consortium brings together various stakeholders viewpoints and roadmaps from across Europe, an impressive record on research excellence and impact, technology innovation and transfer, implementation and demonstration expertise.

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.

Covert evidence gathering has not seen major changes in decades. Law enforcement Agencies (LEAs) are still using conventional, manpower based techniques to gather forensic evidence. Concealed surveillance devices can provide irrefutable evidences, but current video surveillance systems are usually bulky and complicated, are often used as simple video recorders, and require complex, expensive infrastructure to supply power, bandwidth, storage and illumination. Recent years have seen significant advances in the surveillance industry, but these were rarely targeted to forensic applications. The imaging community is fixated on cameras for mobile phones, where the figures of merit are resolution, image quality, and low profile. A mobile phone with its camera on would consume its battery in under two hours. Industrial surveillance cameras are even more power hungry, while intelligent algorithms such as face detection often require extremely high processing power, such as backend server farms, and are not available in conventional surveillance systems. Here we propose to develop and validate a novel, ultra-low-power, intelligent, miniaturised, low-cost, wireless, autonomous sensor (“FORENSOR”) for evidence gathering. Its ultra-sensitive camera and built-in intelligence will allow it to operate at remote locations, automatically identify pre-defined criminal events, and alert LEAs in real time while providing and storing the relevant video, location and timing evidence. FORENSOR will be able to operate for up to two months with no additional infrastructure. It will be manageable remotely, preserve the availability and the integrity of the collected evidence, and comply with all legal and ethical standards, in particular those related to privacy and personal data protection. The combination of built-in intelligence with ultra-low power consumption could help LEAs take the next step in fighting severe crimes.