Integration of RIS in QuaDRiGa: Near-Field Adaptability and Exemplary Application

The Reconfigurable Intelligent Surface (RIS) is a popular technology in the evolution of 6 G wireless networks. However, the integration of RIS into realistic and standardized wireless channel simulators remains limited. The QuaDRiGa framework, recognized by 3 GPP as a reference model, is extended in this work to include RIS as a configurable network element. This paper details a modular, tile-based RIS implementation in QuaDRiGa, enabling scalable and flexible simulations across a wide range of deployment scenarios while balancing physical modeling accuracy and computational complexity. Although the current implementation does not include a nearfield model for RIS, it allows users to modify the configuration of the RIS through tiling. This approach reduces the effective near-field region of the RIS such that it is determined by the size of each tile rather than the entire RIS, making the implementation adaptable to near-field scenarios while managing the computational complexity. To demonstrate its utility, we present a rank-enhancement use case, showcasing the implementations adaptability to scalable scenarios.