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北京邮电大学,北京 100876
[ "彭木根(1978- ),男,北京邮电大学教授,主要研究方向为6G、空间信息通信、通感算一体化、通算融合无线电接入网络等。" ]
[ "袁硕(1994- ),男,北京邮电大学博士生,主要研究方向为星地融合无线网络。" ]
收稿日期:2024-03-01,
修回日期:2024-03-15,
纸质出版日期:2024-03-20
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彭木根,袁硕.面向星地融合的6G云雾化自组网[J].电信科学,2024,40(03):1-14.
PENG Mugen,YUAN Shuo.Toward satellite-terrestrial integration: 6G cloud-fog collaborative self-organizing network[J].Telecommunications Science,2024,40(03):1-14.
彭木根,袁硕.面向星地融合的6G云雾化自组网[J].电信科学,2024,40(03):1-14. DOI: 10.11959/j.issn.1000-0801.2024083.
PENG Mugen,YUAN Shuo.Toward satellite-terrestrial integration: 6G cloud-fog collaborative self-organizing network[J].Telecommunications Science,2024,40(03):1-14. DOI: 10.11959/j.issn.1000-0801.2024083.
低轨星座朝支持星上处理、功能可重构、星地协作和通信遥感导航控制等多任务一体化的方向演进,受限于星上信号处理和计算能力不足、星间链路容量不宽等瓶颈,迫切需要和具有强大云化处理与计算能力的陆地移动通信网络深度融合。为此,提出了面向星地融合的6G云雾化自组网的体系架构和协议体系,实现了低轨雾化卫星网络和陆地云化通信网络的协同融合,研究了基于星上雾化处理的通信遥感导航控制一体化波形和资源管理,以及云雾化协同的移动性管理和智能信息处理等关键技术,展望了未来的标准化工作和硬件试验。
Low earth orbit (LEO) satellite constellations are evolving to support on-board processing
reconfigurable functions
satellite-terrestrial cooperation
and the coordinated execution of multiple tasks
including communication
sensing
navigation
and control. However
LEO satellite networks are constrained by bottlenecks such as inadequate signal processing and computing capabilities of individual LEO satellites and constrained inter-satellite link capacity
necessitating a deep integration with terrestrial mobile communication networks that include extensive cloud-based processing and computing capabilities. Therefore
an innovative architecture for an integrated satellite-terrestrial-based 6G cloud-fog collaborative self-organizing network was proposed and its protocols were discussed
achieving the deep integration of LEO fog-based satellite networks and terrestrial cloud-based communication networks. In addition
key technologies such as integrated communication
sensing
navigation
and control waveform
as well as resource management based on satellite onboard fog processing
along with mobility management and intelligent information processing based on cloud-fog collaboration
were elaborated in detail. In the end
insights into future directions for standardization and hardware experimentation were presented.
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