Abstract: ‍ ‍Reconfigurable intelligent surface （RIS） technology has attracted extensive attention from academia and industry since its emergence owing to its ability to flexibly control the electromagnetic characteristics of the channel environment. Currently， the theoretical research and practical testing of RIS-assisted wireless communication systems are focusing on stationary scenarios， and studies on mobile scenarios are lacking. However， because of the narrow RIS reflected beam， the RIS reflected beam cannot easily aim at the target in mobile scenarios， resulting in a poor coverage enhancement effect. To address this limitation， this study introduces an innovative solution that synergistically combines the principles of direction-of-arrival estimation and RIS coverage enhancement techniques. This novel approach facilitates accurate RIS beam tracking for mobile users， ensuring consistent signal quality and coverage even in highly dynamic environments. Based on this conceptual breakthrough， we developed a prototype platform tailored for RIS-assisted communication within the sub-6G frequency spectrum. This platform serves as a practical testament to theoretical advancements， providing a tangible basis for further exploration and validation. To evaluate the performance of the proposed solution， we conducted a series of experiments within a controlled laboratory setting. These experiments were designed to assess the variations in received signal power and signal interference plus noise ratio （SINR） under two distinct conditions： scenarios where the transmitter is in motion relative to a stationary receiver and vice versa， across various speeds. The measured results show that the received signal power and SINR are improved before and after RIS coding in the two dynamic scenarios， proving that RIS still has scope for performance improvements in mobile communication scenarios. Our research results can provide data support and a reference prototype platform for RIS-assisted communication in future mobile communication scenarios.