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1. 中国电子科技集团有限公司第十研究所,四川 成都 610036
2. 电子科技大学计算机科学与工程学院,四川 成都 611731
3. 中国航天基金会,北京 100039
[ "张丹(1984- ),女,硕士,中国电子科技集团有限公司第十研究所高级工程师,主要研究方向为航天测控及卫星应用" ]
[ "李晶晶(1989- ),男,博士,电子科技大学计算机科学与工程学院研究员,主要研究方向为人工智能" ]
[ "刘田(1981- ),男,博士,中国电子科技集团有限公司第十研究所研究员,主要研究方向为航天测控及卫星应用" ]
[ "陶孙杰(1977- ),男,硕士,中国电子科技集团有限公司第十研究所研究员,主要研究方向为航天测控及卫星应用" ]
[ "吕子平(1961- )男,硕士,中国航天基金会研究员,主要研究方向为卫星通信" ]
网络出版日期:2023-06,
纸质出版日期:2023-06-20
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张丹, 李晶晶, 刘田, 等. 巨型星座云网融合发展探析[J]. 天地一体化信息网络, 2023,4(2):71-81.
Dan ZHANG, Jingjing LI, Tian LIU, et al. Survey on Giant Constellation Cloud Network Integration[J]. Space-integrated-ground information networks, 2023, 4(2): 71-81.
张丹, 李晶晶, 刘田, 等. 巨型星座云网融合发展探析[J]. 天地一体化信息网络, 2023,4(2):71-81. DOI: 10.11959/j.issn.2096-8930.2023021.
Dan ZHANG, Jingjing LI, Tian LIU, et al. Survey on Giant Constellation Cloud Network Integration[J]. Space-integrated-ground information networks, 2023, 4(2): 71-81. DOI: 10.11959/j.issn.2096-8930.2023021.
得益于航天航空技术的发展和云计算、边缘计算等概念的兴起,基于巨型星座的云网融合网络有望成为星地一体化建设和6G的重要组成部分。不同于地面通信网络,星座网络拓扑高动态时变、资源和链路异构性强等特性为云网融合带来挑战。总结巨型星座的特点和地面云网融合的发展现状,分析巨型星座中云网融合的迫切需求和面临的挑战,并进一步指出卫星互联网云网融合架构的创新、资源虚拟化技术的运用、基于人工智能算法的信息感知和路由路径规划、云计算与边缘协同计算等方向是未来星载云网融合技术的潜在发展方向。
Thanks to the development of aerospace technology and the rise of concepts such as cloud computing and edge computing
cloud network convergence networks based on giant constellations are expected to become an important part of the integrated construction of star-ground and 6G global communication networks.Unlike terrestrial communication networks
constellation network topology is highly dynamic and time-varying
with strong resource and link heterogeneity
and other characteristics that pose challenges for cloud network convergence.The characteristics of giant constellations and the development status of terrestrial cloud network convergence was summarized
the urgent needs and challenges of cloud network convergence in giant constellations were analyzed
and the innovation of satellite internet cloud network convergence architecture
the use of resource virtualization technology
information sensing and routing path planning based on artificial intelligence algorithms
and cloud computing and edge collaborative computing were potential directions for future satellite-based cloud network convergence technology development direction were further pointed out.
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