Tailoring Application of Reconfigurable Intelligent Meta-Surfaces in future Beyond 5G Networks
The project considered channel modelling issues related to the RIS application, established a new corresponding framework “beyond Shannon” to characterize RIS aided networks, investigated application of Artificial Intelligence and Machine Learning enabling control of such complex systems as well as proper positioning of the RIS elements across network coverage areas, and much more.
Artificial Intelligence Aided D-band Network for 5G Long Term Evolution
Main results achieved so far
Already during first months on its life time, the ARIADNE project consortium defined a reference system model as basis for future investigations. The ARIADNE system concept (see above) includes three general use cases and corresponding scenarios, allowing detailed system modelling and design as well as further planned research activities.
Until now, the ARIADNE project specified its system model as basis for future investigations which will be carried out within the project scope. An analysis of the D-band directional link, including consideration of suitable channel modelling approaches, possible ways forward in performance evaluation, and preliminary studies on appropriate application of machine learning techniques in this context have been concluded. Furthermore, bases for application of Reconfigurable Intelligent Surfaces and reconfigurable antennas for D-Band have been laid down.
ARIADNE is a three years Research and Innovation action / project under the EU programme Horizon 2020 (Grant Agreement no. 871464) started on 1 November 2019.