ALTERNATIVE will develop an innovative platform able to detect the cardiotoxicity of chemicals and their biotransformation products. The novel platform will enable regulators and industry to identify, quantify and prevent cardiotoxic co-exposures to industrial chemicals and pharmaceuticals in a cost-effective way. ALTERNATIVE will particularly focus on cardiotoxic effects on older people, which is of high relevance in view of the ageing EU population and the high spread of cardiovascular diseases.

The ARIADNE Pillars:

1) The ARIADNE project will develop new radio technologies for communications using the above 100Ghz D-Band frequency ranges

2) ARIDANE will exploit the opportunities emerging for advanced connectivity based on metasurfaces where objects in the environment can become tuneable reflectors for shaping the propagation environment in D-band

3) ARIDANE will employ Machine Learning and Artificial Intelligence techniques to management necessary for the high-frequency communications and dynamic assignment and reconfiguration of the metasurfaces to provide continuous reliable High Bandwidth connections in the Beyond 5G scenario

Project Web site

Horizon 2020 project CHARITY develops an open source framework and tools for enabling immersive communication through the intelligent use of network resources. The project started in January 2021 and will end in June 2024. It is performed by a consortium of 15 European partners from industry and academia.

5G DRIVE – 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China

5G-VINNI will accelerate the uptake of 5G in Europe by providing an end to end (E2E) facility that lowers the entry barrier for vertical industries to pilot use cases and supports the pilots as the infrastructure evolves.

To achieve this, the objectives of 5G-VINNI are:

1. Design an advanced and accessible 5G end to end facility.
2. Build several interworking sites of the 5G-VINNI end to end facility.
3. Provide user friendly zero-touch orchestration, operations and management systems for the 5G-VINNI facility.
4. Validate the 5G KPIs and support the execution of E2E trial of vertical use cases to prove the 5G-VINNI capabilities.
5. Develop a viable business and ecosystem model to support the life of the 5G-VINNI facility during and beyond the span of the project.
6. Demonstrate the value of 5G solutions to the 5G community particularly to relevant standards and open source communities with a view to securing widespread adoption of these solutions.

6G BRAINS Bringing Reinforcement learning Into Radio Light Network for Massive Connections

6G BRAINS aims to bring AI-driven multi-agent Deep Reinforcement learning (DRL) to perform resource allocation over and beyond massive machine-type communications with new spectrum links including THz and optical wireless communications (OWC) to enhance the performance with regard to capacity, reliability and latency for future industrial networks.
The project proposes a novel comprehensive cross-layer DRL driven resource allocation solution to support the massive connections over device-to-device (D2D) assisted highly dynamic cell-free network enabled by Sub-6 GHz/mmWave/THz/OWC and high resolution 3D Simultaneous Localization and Mapping (SLAM) of up to 1 mm accuracy.
The enabling technologies in 6G BRAINS focus on four major aspects including disruptive new spectral links, highly dynamic D2D cell-free network modelling, intelligent end-to-end network architecture integrating the multi-agent DRL scheme and AI-enhanced high-resolution 3D SLAM data fusion.
The developed technologies will be widely applicable to various vertical sectors such as Industry 4.0, intelligent transportation, eHealth, etc.

Main Objectives:

• An AI-driven D2D cell free network architecture for highly dynamic and ultra-dense connectivity
• AI-based End-to-End (E2E) Directional network slicing with guaranteed QoS over highly dynamic network
• AI-driven data fusion for the 3D indoor position map through heterogeneous location methods enabling 1cm location position accuracy and 1o orientation accuracy
• Enhanced new spectrum links: OWC and THzo.

Bringing Reinforcement learning Into Radio Light Network for Massive Connections 6G BRANSEnhanced new spectrum links: OWC and THzo.

DORA – Door to Door Information for Airports and Airlines / visit the DORA FORUM – The DORA FORUM is a platform for organizations interested in promoting and advancing door-to-door information solutions.

DORA project is aiming at design and establishment of an integrated information system that helps passengers to optimise travel time from an origin of the travel to the airplane at the departing airport as well as from the arrival airport to the final destination. With it, the DORA integrated information system, which will be created within the project together with necessary software platforms and end user applications, is aiming at reduction of overall time needed for a typical European air travel including necessary time needed for transport to and from the airports.

To ensure this, the DORA system will provide mobile, seamless, and time optimised route recommendations for the travels to the airport and time optimised routing within the airports, leading the passengers through terminals to the right security and departure gates. The DORA will integrate all necessary real time information on disruptions in the land transport environments and on incidents in the airport terminals to provide the fastest route alternatives, ensuring the accessibility of airport and airplane at any time in accordance with individual passengers’ requirements. The DORA system will be designed in a generic way, to ensure that it can be widely adopted independently on passengers and airports locations.

In the project, the DORA system will be implemented and tested in realistic environments involving cities of Berlin and Palma di Mallorca as well corresponding airports in both cities with involvement of at least 500 real end users – passengers – in the trials. To support the passengers’ route optimisation, the DORA project will investigate and design technologies for recognition of waiting queues and indoor location services in airports, which will be integrated into the DORA system and tested within the project trials.

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