With the recent advancements in wireless systems, infrastructures, and computational power, new challenges arise such as the blockage of line-of-sight (LOS), the high penetration losses, and the new complicated channel models. The goal is to develop novel RF-based localization algorithms that can be applied to advanced channel models to supply the new generations of wireless systems with location-based services.

In this project, we are working on solving wireless system challenges by utilizing reconfigurable intelligent surfaces (RISs), an upcoming 6G technology. Our methodology includes utilizing the RIS to create a virtual LOS path that solves the blockage of the LOS blockage problem. Solving this problem enables him to estimate the user location at a sub-cm level of accuracy. The next figure illustrates his project.

Publications:

[1] O. Rinchi, A. Elzanaty, and A. Alsharoa, “Single-Snapshot Localization for Near-Field RIS Model Using Atomic Norm Minimization”, in proc. of the IEEE Global Communication Conference (GLOBECOM), Rio de Janeiro, Brazil, Dec. 2022.

[2] O. Rinchi, A. Elzanaty, and A. Alsharoa, “Wireless Localization with Reconfigurable Intelligent Surfaces”, 6G Wireless: The Communication Paradigm Beyond 2030, CRC Press 2022.