This research project is proudly funded by the European Commission, reflecting their commitment to advancing innovation and addressing critical societal challenges. Through this support, we aim to deliver groundbreaking insights and solutions that contribute to the European Union’s vision for a sustainable, connected, and inclusive future. The funding enables us to collaborate with leading experts across borders, leverage cutting-edge technologies, and drive impactful outcomes that benefit both science and society.
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Our objective
digital-environment

Proposal

The proposed architecture takes full advantage of novel solutions for both the radio-edge and regional-edge domains, as well as for efficient network-management approaches, targeting to achieve sub-second latency, more than a million devices per square kilometer connection density and user-experienced data-rate up to 10Gbps.

NEWTON research program will engage in cutting-edge research to advance and assess a wide range of techniques, tools and methodologies that will harness the innovative capabilities provided by the CF technology to their fullest extent and establish the groundwork for efficient end-to-end services in 6G network environments.

 

Ai

Approach

The NEWTON approach will be directed toward pursuing three ambitious objectives, each aligned with an interdisciplinary but interconnected research domain. The three objectives are linked to challenges at the radio-edge, the regional-edge, and the network-management domains.

At the radio-edge domain, NEWTON aims at developing Artificial-Intelligence (AI)-driven models in the access domain, focusing on the CF technology, targeting the efficient acquisition of the Channel State Information (CSI) in dense CF networks, while supporting infrastructures with high-number of antennas.

super-computing

AI-based Resource Allocation

In the regional-edge domain, NEWTON targets to develop scalable solutions for the interconnection of data-centers, to enable distributed neuromorphic architectures, while also being in line with the Open RAN initiative.

Finally, at the network management domain, NEWTON will develop novel AI-based resource allocation solutions, targeting the optimal utilization of both networking and computational resources.

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