Open Wireless Digital Twin: End-to-End 5G Mobility Emulation With OpenAirInterface and Ray Tracing
Tetsuya Iye, Masaya Sakamoto, Shohei Takaya, Eisaku Sato, Yuki Susukida, Yu Nagaoka, Kazuki Maruta, Jin Nakazato
KOZO Keikaku Engineering Inc. (Japan) Keihin (Japan) Takushoku University Tokyo University of Science
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This study presents an end-to-end wireless digital twin platform constructed using open-source software and open data to enhance the evaluation of mobile communication systems. The proposed open wireless digital twin (OWDT) integrates OpenAirInterface (OAI) for Fifth-Generation New Radio (5G NR) protocol stack emulation and NVIDIA Sionna RT for high-resolution ray-tracing-based radio propagation modeling. This integration enables the realistic emulation of 5G wireless communication in mobility scenarios on a CPU-based Linux system, leveraging real-world building data to bridge the gap between theoretical simulations and real-world deployments. The platform also incorporates OAI FlexRIC, which is an implementation aligned with the O-RAN near-real-time RAN Intelligent Controller (near-RT RIC), to dynamically monitor key performance indicators (KPIs). Through extensive evaluation in urban environments, this study demonstrated the validity of the emulation framework, revealing its capability to replicate real-world communication dynamics with high fidelity. The results underscore the potential of the OWDT to accelerate wireless system development, reduce experimental costs, and optimize network configurations.
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