From lab to digital twin: calibration of mmWave ray-tracing with RIS reflections

Zhakipov, Zhandos, Makin, Madi, Nasser, Ahmed, Abdallah, Asmaa, Celik, Abdulkadir and Eltawil, Ahmed M. (2025) From lab to digital twin: calibration of mmWave ray-tracing with RIS reflections. In 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2025. IEEE. 6 pp . (doi:10.1109/PIMRC62392.2025.11275011).

Abstract

Reconfigurable intelligent surfaces (RISs) are gaining significant attention as a key enabler of future wireless networks. However, its practical deployment is hindered by challenges in modeling and integration. Existing analytical approaches often depend on idealized assumptions, limiting their ability to reflect the complexity of real-world environments. In this work, we explore the integration of digital twin (DT) technology with ray tracing (RT), enabling a more accurate representation of practical scenarios and bridging the gap between theoretical models and the real-world implementation of RIS. RT allows accurate prediction of signal behavior, such as received signal strength indicator (RSSI) levels, without the need for expensive experimental measurements. We evaluate the performance of the DT with RT in three RIS-aided setups: a single RIS-aided, cascaded RISs-aided, and RIS partitioning. Our results show that the proposed DT model closely matches the experimental RSSI data with an error margin below 1 dB for single and partitioned RIS setups and under 2 dB for cascaded RISs system. These findings highlight the potential of DT with RT simulations as a practical tool for performance evaluation and optimization of RIS-assisted wireless systems.

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Contributors

Author: Abdulkadir Celik

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