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无连接区域覆盖的绿色网格网与数字孪生验证OACSTPCD

Green Mesh Networks for Unconnected Area Coverage and Proof of Digital Twins

中文摘要英文摘要

尽管"连接未连接"的挑战一直是研究热点,但最近发布的全球6G愿景中,泛在连接场景尚未直接包含仍处于实验阶段的5G非地面网络.该文认为,5G非地面网络架构上一个潜在的发展趋势是绿色和灵活性,它很有可能在后期的6G阶段发挥更大作用.为了增强空天地一体化系统的绿色和灵活性,该文特别考虑了一种地面上的绿色网格架构,采用数字孪生建模方法进行了概念验证,对微基站处的可再生能源、物联网设备运行和无线资源分配策略等进行了建模,并开发和评估了基于Transformer的精确数据驱动的能效预测方案.这一初步的网络架构和无线接入概念验证,将有益于推动早期阶段数字孪生卫星的可行性研究,为未来6G空天地一体化网络的发展提供参考.5G非地面网络目前尚处于前期探索阶段,但其在绿色、灵活、可持续等方面的创新理念,非常契合6G网络的发展方向.该文通过数字孪生建模的方法,验证了非地面网络在6G时代具有广阔的应用前景.

The recently released ubiquitous connectivity scenario in the global 6G vision does not directly include 5G non terrestrial networks that are still in the experimental stage,although the challenge of"Connecting the Unconnected"has always been a research hotspot.We believe that a potential trend in 5G non ground network architecture is green and flexible,which has the potential to appear in the later 6G stage.In order to enhance the green and flexibility of integrated ground-air-space systems,a green mesh architecture on the ground is specially considered here.A digital twin modeling method and proof of concept within its capabilities are designed,the re-newable energy at the micro base station,the operation of Internet of Things(IoT)equipment and the wireless resource allocation strategy are modeled,and an accurate data-driven energy efficiency prediction scheme based on Transformer is developed and evaluated.The preliminary network architecture and proof of concept of wireless access will benefit the early feasibility study of digital twin satellites and provide reference for the future development of 6G space-air-ground integrated network.5G non-terrestrial networks are still in the early exploration stage,but its innovative concepts in green,flexibility and sustainability are highly matched with the development direction of 6G networks.It is verified that non-terrestrial networks have broad application prospects in the 6G era through digital twin modeling method.

陈文清;孟庆民;杜鹏;罗越

南京邮电大学通信与信息工程学院和自动化学院,江苏南京 210003南京邮电大学通信与信息工程学院和自动化学院,江苏南京 210003||东南大学 移动通信国家重点实验室,江苏南京 210096

计算机与自动化

连接未连接绿色网络数字孪生Informer无线资源分配

connecting the unconnectedgreen mesh networksdigital twinInformerwireless resource allocation

《计算机技术与发展》 2024 (004)

109-115 / 7

东南大学移动通信国家重点实验室开放研究基金资助课题(2021D10)

10.20165/j.cnki.ISSN1673-629X.2024.0017

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