This paper 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 5G NR protocol stack emulation and NVIDIA Sionna RT for high-resolution ray tracing based radio propagation modeling. This integration enables realistic emulation of vehicular mobility scenarios, leveraging real-world geographic and building data to bridge the gap between theoretical simulations and real-world deployments. The platform utilizes O-RAN's Near-RT RIC via OAI FlexRIC to dynamically monitor key performance indicators (KPIs) such as RSRP, MCS, BLER, and throughput in real time. Through extensive evaluation in urban environments, this study demonstrates the validity of the emulation framework, revealing its capability to replicate real-world communication dynamics with high fidelity. The results underscore the potential of OWDT in accelerating wireless system development, reducing experimental costs, and optimizing network configurations.

翻译：本文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。所提出的开放无线数字孪生平台整合了用于5G NR协议栈仿真的OpenAirInterface与基于高精度射线追踪的无线传播模型NVIDIA Sionna RT。该集成能够实现对车辆移动场景的真实仿真，并利用真实地理与建筑数据弥合理论仿真与实际部署之间的差距。平台通过OAI FlexRIC调用O-RAN近实时无线智能控制器，动态监测参考信号接收功率、调制编码方案、误块率与吞吐量等关键性能指标。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。结果凸显了开放无线数字孪生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。