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5G专网融合时间敏感网络架构技术

Research on the Fusion Architecture Technology between 5G Private Network and Time-Sensitive Network
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摘要 由于5G专网具有低时延、高带宽、海量连接的特性,可以应用在医疗卫生、电力网络、物流仓储等行业,从而提升网络能力。为满足5G专网对低时延高可靠的需求,提出5G专网与TSN融合的架构,借助TSN特有的流量调度和流量整形、网络带宽预留、精确时钟同步等技术,满足5G专网与TSN融合的低时延、高可靠的需求。并通过研究5G专网与TSN融合的关键技术,如流量映射与调度技术以及协同管控技术,以加快工业互联网场景中5G专网与TSN融合的进程。最后,讨论5G专网和TSN融合面临的挑战,为5G专网与TSN的融合架构及关键技术提供发展思路。 As 5G private networks are characterized by low latency, high bandwidth and massive connections, they can be applied to various industries such as medical and health care, power networks, logistics and storage to improve network capabilities. In order to meet the low-latency and high-reliability requirements of 5G private network, a fusion architecture combining 5G private network and time sensitive network(TSN) is proposed. With the help of salient technologies in TSN, such as the traffic scheduling and traffic shaping, network bandwidth reservation and precise clock synchronization, they can meet the low-latency and high-reliability requirements of fusing 5G private network and TSN. Furthermore, through studying the key technologies of fusing 5G private network and TSN, such as traffic mapping and scheduling and collaborative management technologies, the fusion process of the two networks can be accelerated in industrial Internet scenarios. Finally, the challenges of the fusion of 5G private network and TSN are discussed, and the development ideas for the fusion architecture and key technologies are provided.
作者 李鹤 张恒升 朱瑾瑜 段世惠 许方敏 赵成林 LI He;ZHANG Hengsheng;ZHU Jinyu;DUAN Shihui;Xu Fangmin;ZHAO Chenglin(School of Information and Communication Engmeering,Beying University of Posts and Telecommunications,Beijing 100876,China;China Academy of Information and Communications Technology,Beijing 100037,China)
出处 《移动通信》 2022年第8期30-35,共6页 Mobile Communications
基金 2021年工业互联网创新发展工程项目(TC210A02K) 北京市自然科学基金-海淀前沿项目“面向工业互联网场景无线边缘智能协同关键技术研究”(L202017) 复杂生物场景下的分子信号检测理论与方法研究(61971050)。
关键词 5G专网 时间敏感网络 低时延 高可靠 网络架构 5G private network TSN low latency high reliability network architecture
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