Setting the frontiers of security and energy efficiency

NEURONASenvisions the design of NPU-controlled RIS at sub-6GHz bands following strategical objectives.

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Research Pillars

Ultra-high energy efficiency

Through the development of neuromorphic computing-based communication and networking protocols and mechanisms.  

Profound Security & Low-latency

Through physical layer security approaches based on neuromorphic-controlled RISs. 

Zero-touch operation

Through the development of spiking reinforcement learning, real-time intelligent controllers. 

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Methodology

NEURONAS’ goal is to significantly increase our understanding in neuromorphic processing and couple it with wireless communications. In this direction, it takes upon the task of designing a new type of metasurface that can support strict energy consumption and response time demands. To achieve this, NEURONAS exploits novel concepts that are coming from the world of computing engineering, such as NPU, introduce new theoretical models that capture both the computational complexity and energy consumption of the control unit of the RIS, experimentally verify the neuroRIS modelling & superiority against conventional RIS approaches, and present a novel proof-of-concept. To realize this, a multi-facet methodology will be carried out, entailing four phases.

The consortium

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