In the context of communication networks, digital twin technology provides a
means to replicate the radio frequency (RF) propagation environment as well as
the system behaviour, allowing for a way to optimize the performance of a
deployed system based on simulations. One of the key challenges in the
application of Digital Twin technology to mmWave systems is the prevalent
channel simulators' stringent requirements on the accuracy of the 3D Digital
Twin, reducing the feasibility of the technology in real applications. We
propose a practical Digital Twin creation pipeline and a channel simulator,
that relies only on a single mounted camera and position information. We
demonstrate the performance benefits compared to methods that do not explicitly
model the 3D environment, on downstream sub-tasks in beam acquisition, using
the real-world dataset of the DeepSense6G challenge

在通信网络的背景下，数字孪生技术提供了一种复制无线电频率（RF）传播环境和系统行为的方法，从而实现基于仿真的已部署系统性能优化的方式。我们提出了一个实用的数字孪生创建流程和一个仅依赖单个安装摄像头和位置信息的通道模拟器，通过使用 DeepSense6G 挑战的真实世界数据集，在波束获取的下游子任务上展示了与不明确建模 3D 环境的方法相比的性能优势。