With the fast evolving of cloud computing and artificial intelligence (AI), the concept of digital twin (DT) has recently been proposed and finds broad applications in industrial Internet, IoT, smart city, etc. The DT builds a mirror integrated multi-physics of the physical system in the digital space. By doing so, the DT can utilize the rich computing power and AI at the cloud to operate on the mirror physical system, and accordingly provides feedbacks to help the real-world physical system in their practical task completion. The existing literature mainly considers DT as a simulation/emulation approach, whereas the communication framework for DT has not been clearly defined and discussed. In this article, we describe the basic DT communication models and present the open research issues. By combining wireless communications, artificial intelligence (AI) and cloud computing, we show that the DT communication provides a novel framework for futuristic mobile agent systems.
翻译:随着云计算和人工智能(AI)的快速发展,最近提出了数字双星概念,在工业互联网、IoT、智能城市等工业互联网中得到了广泛的应用。DT建立了数字空间物理系统的镜面综合多物理学。通过这样做,DT可以利用丰富的计算能力和云端AI在镜面物理系统上运作,从而提供反馈,帮助现实世界物理系统完成实际任务。现有文献主要认为DT是一种模拟/模拟方法,而DT的通信框架尚未明确界定和讨论。我们在本篇文章中描述了基本的DT通信模式,并介绍了开放的研究问题。我们通过将无线通信、人工智能(AI)和云计算结合起来,表明DT通信为远期移动代理系统提供了一个新的框架。