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（Digital Twins, DTs）作为物理无线环境的精确虚拟表征，已被提出用于支撑物理通信设备的多层决策。在高频段，DTs有助于应对车辆环境中的高移动性条件所引发的挑战。本文提出了一种新颖的数据驱动工作流，用于构建面向车辆到一切（V2X）通信场景的数字孪生，同时提出了一种多模态仿真框架，以生成真实的传感器数据及精确的毫米波/亚太赫兹无线信道。该方法整合了基于虚幻引擎（Unreal Engine）游戏引擎的汽车仿真测试框架与精确的射线追踪信道模拟器。针对城市场景的仿真结果表明，在基础设施及自车端均可实现可验证的传感器与信道建模。