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.

翻译：本研究提出了一种利用开源软件与开放数据构建的端到端无线数字孪生平台，旨在提升移动通信系统的评估能力。所提出的开放式无线数字孪生平台整合了用于第五代新空口协议栈仿真的OpenAirInterface与基于高分辨率射线追踪的NVIDIA Sionna RT无线传播建模工具。该集成方案使得在基于CPU的Linux系统上能够对移动场景中的5G无线通信进行真实仿真，并通过利用真实建筑物数据弥合理论仿真与实际部署之间的差距。平台同时整合了符合O-RAN近实时无线接入网智能控制器规范的OAI FlexRIC实现，以动态监测关键性能指标。通过在城市场景中的广泛评估，本研究验证了该仿真框架的有效性，揭示了其高保真复现实际通信动态的能力。研究结果凸显了开放式无线数字孪生平台在加速无线系统开发、降低实验成本及优化网络配置方面的潜力。