# Digital Twin Technology-Based Networking Solution in Low Earth Orbit Satellite Constellations
## 2 Related Work  
With the development of wireless communication, networks, sensing, and the Internet of Things (IoT) [6; 7], the amount of detection data obtained based on sensing or collection has increased dramatically in various fields. These data exhibit the typical characteristics of industrial big data, such as heterogeneity, dynamism, high speeds, and massive volumes. Additionally, the dynamic changes in complex operating environments pose significant challenges for the processing, analysis, and predictive accuracy of the aforementioned data. However, current research on data detection and fault analysis mainly focuses on ideal static scenarios, which cannot meet the real-time status assessment and predictive accuracy requirements of devices operating in complex and dynamic environments. The emergence of digital twins provides a new solution to address these challenges. In recent years, there has been a growing demand for network digitalization and model digitalization in China,and digital twin technology has attracted widespread attention and research from the global industrial and academic communities. The origin, domestic and international technological developments, and application status of digital twins are summarized as follows. The concept and application of digital twins [8; 9] originated abroad. In 1969, the National Aeronautics and Space Administration (NASA) of the United States began using the concept of virtual mirroring in the Apollo program. In 2003, Professor [PERSON] of the University of Michigan proposed the concept of \"virtual digital representation equivalent to physical products\" in the Product Lifecycle Management (PLM) course. From 2003 to 2005, this model was referred to as the \"mirror space model\", and from 2006 to 2010, it was called the \"information mirror model\" and \"digital twin\". In 2010, NASA introduced the concept of digital twins in its Space Technology Roadmap, aiming to achieve comprehensive diagnostic and predictive capabilities for flight systems using digital twins to ensure continuous and safe operations throughout the system's lifespan. In 2012, NASA summarized its research and engineering processes and officially released a roadmap for \"modeling, simulation, information technology, and processing\", making digital twins known to the public for the first time. In 2014, the theory and technological system of digital twins were introduced and accepted by the U.S. Department of Defense and other entities. From 2017 to 2019, Gartner listed digital twins as one of the top ten strategic development trends for three consecutive years. In recent years, along with the development of 5G/6G industries [10; 11], digital twin technology has also been gradually developed in various fields in China. In the field of production manufacturing, concepts such as the Digital Twin Shopfloor (DTS) have been proposed by [PERSON] et al., who studied five key technical issues related to twins and designed the composition and operation mechanism of the DTS, providing theoretical support for the application of digital twin technology in production manufacturing. [PERSON] et al. proposed a design method for production line digital twins, synchronizing the virtual and the real to form a complete digital twin system to optimize the production manufacturing process. In the field of wireless networks, [PERSON] et al. introduced digital twins to wireless networks and designed a wireless network digital twin system for collaborative edge computing research. In the field of intelligent transportation, [PERSON] et al. constructed a digital twin system for intelligent transportation application scenarios, mapping multiple physical entities in the transportation field to the virtual world, providing technical support for the realization of \"digitization, networking, and intelligence\" in the digital transformation of transportation.