A comprehensive dataset of RIS-based channel measurements in the 5GHz band.

Reconfigurable intelligent surfaces (RIS) are a core component considered in sixth generation (6G) communications. By utilizing an RIS prototype system in the 5 GHz band, this paper provides a comprehensive dataset of channel measurements of various geometric arrangements of antennas and RIS. The dataset and the in-detail documentation is provided on IEEE DataPort and GitHub, respectively. Since only a few datasets with measurements of RIS prototypes are currently available, we try to fill an important gap in current research by providing this systematically measured dataset. Due to the consistent quality of the measurements that is ensured by the measurement chamber, the provided dataset is also well suited to be used as a basis for machine learning concepts.In order to provide a solid baseline for comparing and validating a wide range of applications in different scenarios, the measurements are taken in stationary scenarios. This includes different RIS-to-antenna distances with specular reflection angles, non-specular reflection angles and with the RIS placed on a rotary stage. The selected switching states of the RIS for each scenario are determined by two iterative algorithms, namely a greedy algorithm and a single-element optimization approach, as well as multiple model-based approaches. The evaluation of the data in this paper compares the overall performance for the maximization and minimization of an RIS-assisted communication link, which shows an increase in received power of up to 20 dB compared to a reference plate.