NANCY project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101096456.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the SNS JU. Neither the European Union nor the granting authority can be held responsible for them.
Artificial Intelligence is no longer just in massive data centers. It is moving to the network edge, which includes devices closer to where we work and live. Either your local server, personal computer, or even edge devices such as mobile phones.
Imagine a world where our digital networks never fail, constantly adapt, and even repair themselves. This is one of the goals of the NANCY project for the “Beyond 5G” era.
As edge computing becomes the backbone of next-generation AI and robotics platforms, the ability to deploy containerized workloads with predictable timing and bounded CPU latency is emerging as a critical requirement.
In today’s AI-driven world, building powerful ML models isn’t enough; we need to understand why they make decisions. In the framework of the NANCY project, SIDROCO designed and developed an innovative concept combining foundational models with explainability tailored to the specific needs of cybersecurity threat detection in telecommunications.
The race to secure next-gen networks is on—and quantum computing is the finish line. At NANCY, we’re not just keeping pace; we’re redefining the rules.
It’s been noted before that wireless communications and Informatics have been progressing by far superseding each and every other science! Some 30 years ago, the first commercial user workstations functioned well below 24 Mbps. Today, as 5G moves towards mass commercial adoption…
The data drift challenge: The deployment of an Artificial Intelligence (AI) workflow, especially in operational environments, poses a major challenge that is known as the data drift detection problem.
A B5G blockchain radio access network like NANCY is a system built on decentralized, secure and efficient mechanisms able to manage network access and authentication among inherently trustless B5G network entities. Privacy is one of the key requirements for such a system.
In the constantly evolving world of 5G and Beyond-Radio Access Networks (B-RAN), dynamic pricing techniques are crucial for ensuring competitive fairness and network profitability. The Smart Pricing Module (SPM) is an innovative AI-driven NANCY subsystem that calculates the best pricing policy for network providers. The SPM, based on auction theory and reinforcement learning, allows suppliers to dynamically modify pricing while maximizing efficiency and profit.
A secure and intelligent architecture for the beyond the fifth generation (B5G) wireless network
NANCY project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101096456.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the
European Union or the SNS JU. Neither the European Union nor the granting authority can be held responsible for them.
A secure and intelligent architecture for the beyond the fifth generation (B5G) wireless network
NANCY project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101096456.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the
European Union or the SNS JU. Neither the European Union nor the granting authority can be held responsible for them.
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