Digital Twins (DTs) for physical wireless environments have been recently proposed as accurate virtual representations of the propagation environment that can enable multi-layer decisions at the physical communication equipment. At high frequency bands, DTs can help to overcome the challenges emerging in the high mobility conditions featuring vehicular environments. In this paper, we propose a novel data-driven workflow for the creation of the DT of a Vehicle-to-Everything (V2X) communication scenario and a multi-modal simulation framework for the generation of realistic sensor data and accurate mmWave/sub-THz wireless channels. The proposed method leverages an automotive simulation and testing framework based on the Unreal Engine game engine and an accurate ray-tracing channel simulator. Simulations over an urban scenario show the achievable realistic sensor and channel modelling both at the infrastructure and at an ego-vehicle.

翻译：数字孪生（DT）作为物理无线环境的精确虚拟表征，近期被提出可支持通信设备的多层次决策。在高频段通信中，数字孪生有助于克服车辆环境中高移动性带来的挑战。本文提出了一种创新的数据驱动工作流，用于构建车联网（V2X）通信场景的数字孪生，并设计了一个多模态仿真框架，以生成逼真的传感器数据和精确的毫米波/亚太赫兹无线信道。所提方法整合了基于虚幻引擎的自动驾驶仿真测试框架与高精度光线追踪信道模拟器。城市场景下的仿真结果表明，该方法在基础设施和自车层面均可实现高真实度的传感器与信道建模。