Setting the frontiers of security and energy efficiency
NEURONASenvisions the design of NPU-controlled RIS at sub-6GHz bands following strategical objectives.
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.
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.
