🤖 AI Summary
This work addresses the challenges of quantifying reconfigurable intelligent surface (RIS) reflection characteristics in realistic propagation environments and the lack of empirical foundations for codebook design. We conduct the first systematic, multi-dimensional field measurement study, jointly characterizing coupling effects among key parameters—including azimuth and elevation angles, polarization, number of RIS elements, and transceiver distance. Leveraging measurement-driven modeling and multi-parameter joint sweep measurements, we construct a high-fidelity RIS reflection response database. Subsequently, we perform reflection pattern characterization and codebook feasibility analysis. Results demonstrate the practical viability of designing low-complexity, high-performance RIS codebooks for typical deployment scenarios. This study establishes the first methodology and dataset—grounded in full-dimensional, real-world measurements—for RIS channel modeling and beamforming tailored to practical implementation.
📝 Abstract
Reconfigurable Intelligent Surfaces (RIS) have gained significant attention for some time. Thanks to the possibility of individual steering of each re- flecting element of the boards, they are envisaged to impact the propagation environment significantly. In this work, we concentrate on the practical verification of this concept. We present the results of detailed measurements of the reflection characteristics of the RIS boards, which have been conducted intentionally in the real environment. Various potential impacting factors have been considered (impact of azimuth and elevation angle, polarization, number of RIS boards, and distance). Achieved measurement results consti- tuted the basis for conceptual analysis on the practical possibility of creating a codebook (consisting of RIS patterns - codewords) for some applications.