Objectives & Challenges

Objective #1 Objective #2 Objective #3 Objective #4 Objective #5 Objective #6

Objective / Challenges	Means to Achieve / Address them
O-1: "To create a new type of RIS by replacing the conventional microcontroller with a NPU."
Challenges Enable NLoS/OloS smart & reliable connectivity by creating reconfigurable wireless environments via SNN-assisted RISs. Mitigate or even cancel propagation impairments & topology constraints, as well as energy and complexity limitations.	Create neuromorphic-empowered RIS designs. Develop advanced EE transmission schemes. Development & testing of NeuroRIS in below 6 GHz bandwidth. Packaging of NeuroRIS.
Goals/Measurable Criteria: Bandwidth saving and traffic reduction; EE; Complexity/overhead reduction.

Objective / Challenges	Means to Achieve / Address them
O-2: "To design and use meta-materials that reduce even more the unit cell response time (from 2-4 ns to 1-3 ns)."
Challenges Reduce the RIS response time, while boosting its processing EE. Limit computational complexity requirements.	Design of meta-atoms able to smoothly operate under neuromorphic processing power limitations of RIS connected via neuromorphic processor-based microcontroller.
Goals/Measurable Criteria: 'Zero' latency connectivity; Complexity/overhead reduction.

Objective / Challenges	Means to Achieve / Address them
O-3: "To design and assess SNNs & SRLs based methods for proactive beam tracking"
Challenges Support uninterrupted connectivity for mobile users by exploiting innovative AI methodologies. Provide ubiquitous connectivity. Support practically infinite network capacity for new services and business models.	Investigate SNN methods. Investigate SRL techniques. Study unsupervised learning-based beam-tracking techniques for NeuroRIS systems. Develop EE low-complexity resource orchestration schemes. Create robust CSI estimation schemes tailored for the NeuroRIS-assisted systems.
Goals/Measurable Criteria: 'Always' available connectivity of 'infinite' devices; 'Zero' latency connectivity.

Objective / Challenges	Means to Achieve / Address them
O-4: "To design, develop and assess SRLs for real time adaptation."
Challenges Increase neuromorphic controlled RIS computational energy efficiency while at the same time reduce latency. Reduce dependence on topological constraints. Mitigate channel constraints.	Perform electromagnetic analysis and appropriate tests for accurate reflection and phase shift adaptation on the alteration of channel conditions. Create joint optimization problems. Utilize SRL methods.
Goals/Measurable Criteria: ‘Always’ available connectivity of ‘infinite’ devices; EE; Complexity/overhead reduction.

Objective / Challenges	Means to Achieve / Address them
O-5: "To study security, reliability and privacy of the NPU-controlled RIS."
Challenges Provide reliability, security and privacy at unprecedented levels. Take advantage of the peculiarities of MUE in terms of their positions, velocity, and the rapid change of wireless environment.	Study the PLS and reliability aspects of the novel proposed NeuroRIS architecture. Develop a theoretical framework for enhanced PLS in NeuroRIS-enabled wireless communication systems. Study the reliability aspects of communication links of NeuroRIS empowered wireless communication systems.
Goals/Measurable Criteria: 3 in-lab pilots that demonstrate the functionalities of RIS; ‘Always’ available connectivity of ‘infinite’ devices.

Objective / Challenges	Means to Achieve / Address them
O-6: “To demonstrate the functionalities in realistic conditions.”
Challenges Integrate the developed components. Test the property. Demo improved performance in realistic conditions.	Define the demonstration & testing activities. Test & evaluate experimentally the developed models & systems. Perform the Proof-of-Concept demonstration.
Goals/Measurable Criteria: 2 in-lab pilots that demonstrate the functionalities of RIS; ‘Always’ available connectivity of ‘infinite’ devices.