Practical Mmwave UE Performance in RIS-Assisted Wireless Network

This paper investigates the incorporation of Reflective Intelligent Surfaces (RIS) into mm Wave wireless networks for enhancing user equipment (UE) performance. Specifically, it delves into the previously unexplored effect of user interaction with a steerable handheld mm-wave device on system bit rate performance in the presence of RIS, especially in non-line-of-sight conditions and when obstructed by a user's hand. The results emphasize the capacity of RIS to enhance both spectral efficiency and link reliability, contingent on the UE antenna array steering its beam towards the base stations or the RIS. Moreover, the investigation highlights the importance of practical UE for realistic network insights, crucial for effective optimization efforts.