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1. 移动计算与新型终端北京市重点实验室,北京 100190
2. 中国科学院计算技术研究所无线通信技术研究中心,北京 100190
3. 中国科学院大学,北京 101408
4. 重庆金美通信有限责任公司,重庆 400030
[ "孙茜(1990- ),女,博士,中国科学院计算技术研究所助理研究员,主要研究方向为移动通信和无线计算资源分配" ]
[ "田霖(1980- ),女,博士,中国科学院计算技术研究所研究员,主要研究方向为无线资源管理、无线多媒体多播、新型无线网络架构" ]
[ "周一青(1975- ),女,博士,中国科学院计算技术研究所研究员,主要研究方向为无线移动通信技术,包括多天线技术、多载波OFDM、协同传输、干扰抵消、信道编/解码、网络编码、信息论、绿色无线电等" ]
[ "冯晨(1997- ),女,中国科学院计算技术研究所硕士生,主要研究方向为移动通信和5G专网" ]
[ "王园园(1986- ),女,博士,中国科学院计算技术研究所高级工程师,主要研究方向为计算与通信融合无线移动通信系统架构、网络资源管理、运行控制关键技术" ]
[ "周继华(1979- ),男,博士,重庆金美通信有限责任公司研究员、总经理助理,主要研究方向为5G和6G通信、智能集群通信" ]
网络出版日期:2021-06,
纸质出版日期:2021-06-20
移动端阅览
孙茜, 田霖, 周一青, 等. 面向B5G和6G的边缘计算与网络切片资源管理[J]. 电信科学, 2021,37(6):55-65.
Qian SUN, Lin TIAN, Yiqing ZHOU, et al. Resource management in sliced networks with mobile edge computing for B5G and 6G[J]. Telecommunications science, 2021, 37(6): 55-65.
孙茜, 田霖, 周一青, 等. 面向B5G和6G的边缘计算与网络切片资源管理[J]. 电信科学, 2021,37(6):55-65. DOI: 10.11959/j.issn.1000-0801.2021128.
Qian SUN, Lin TIAN, Yiqing ZHOU, et al. Resource management in sliced networks with mobile edge computing for B5G and 6G[J]. Telecommunications science, 2021, 37(6): 55-65. DOI: 10.11959/j.issn.1000-0801.2021128.
随着时延敏感的计算密集型任务呈指数级增长,5G以及未来6G的移动蜂窝网络将构建面向边缘计算的网络切片为时延敏感、计算密集型应用提供服务。由于网络切片间共享系统资源,无线与边缘计算资源的高效管理至关重要。对网络切片生命周期中资源管理的需求进行了研究,针对资源需求归纳了网络切片接入控制技术、网络切片资源分配技术、网络切片终端协作激励技术的研究进展,并给出了这 3 方面技术的未来研究方向,实现了面向边缘计算的网络切片的资源高效管理。
With the time-delay sensitive compute-intensive tasks growing exponentially
5G and future 6G mobile cellular communication networks will form differentiated network slices with edge computing resource to service the multiple communication services.To achieve this
the wireless frequency and edge computing resources will be shared among the network slices
thus the efficient management of the resources is of great importance.The demands of resources management in the life duration of the network slice was analyzed.Then the research progress of the corresponding technologies for slices
i.e.
access control
resources allocation and stimulating cooperation among terminals
were summarized.And the open research issue was given.Thus
the resources are managed efficiently for the slices with edge computing resource.
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