The Paradigm of Digital Twin Communications

TL;DR

This paper explores the communication framework of digital twins, integrating wireless, AI, and cloud computing to enhance real-world system management and proposing a new paradigm for mobile agent systems.

Contribution

It defines basic digital twin communication models and discusses open research issues, highlighting a novel framework combining wireless, AI, and cloud for digital twin applications.

Findings

Digital twin communication models are introduced.

Open research issues in DT communication are identified.

A new framework for mobile agent systems using DT is proposed.

Abstract

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.