Digital Twins for Intelligent Space-Air-Ground Integrated Vehicular Network: Challenges and Solutions

Yilong Hui, Yi Qiu, Zhou Su, Zhisheng Yin, Tom H. Luan, Khalid Aldubaikhy
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Abstract

With the rapid development of 6G, the intelligent space-air-ground integrated vehicular network (ISAGIVN) has been proposed to efficiently provide vehicles with ubiquitous services. Faced with the new features such as massive nodes, heterogeneous networks, and diverse data presented by the ISAGIVN, a new network architecture is urgently needed to enhance the flexibility of the network, the efficiency of decision-making and the orderliness of data management. In this article, we design a digital twin (DT)-enabled architecture to facilitate the practical deployment and application of ISAGIVN. We first review the conventional network architecture of ISAGIVN. Then, we discuss the challenges of combining DTs and ISAGIVN. On this basis, we design the framework of DT-enabled ISAGIVN, where the creation, deployment, update and migration of DTs in ISAGIVN are analyzed in detail. Finally, we conclude the article and discuss future research directions.
智能天空地集成车辆网络的数字孪生:挑战与解决方案
随着6G的快速发展,为高效地为车辆提供无处不在的服务,提出了智能天空地一体化车载网络(ISAGIVN)。面对ISAGIVN所呈现的海量节点、异构网络、数据多样化等新特点,迫切需要一种新的网络架构来增强网络的灵活性、决策效率和数据管理的有序性。在本文中,我们设计了一个支持数字孪生(DT)的架构,以促进ISAGIVN的实际部署和应用。我们首先回顾了ISAGIVN的传统网络架构。然后,我们讨论了DTs和ISAGIVN相结合的挑战。在此基础上,设计了支持dt的ISAGIVN框架,详细分析了在ISAGIVN中dt的创建、部署、更新和迁移。最后,对全文进行了总结,并对未来的研究方向进行了展望。
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