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[ "张贤(1992- ),男,北京邮电大学博士生,主要研究方向为雾无线接入网络、网络智能化和无人机组网等" ]
[ "曹雪妍(1994- ),女,北京邮电大学博士生,主要研究方向为智能博弈以及无线接入网资源分配" ]
[ "刘炳宏(1995- ),女,北京邮电大学博士生,主要研究方向为无人机组网、无线资源分配、NOMA、MEC" ]
[ "艾元(1993- ),男,北京邮电大学博士生,主要研究方向为雾无线接入网、非正交多址接入技术" ]
[ "刘晨熙(1989- ),男,博士,北京邮电大学副研究员、博士生导师,主要研究方向为雾无线接入网、网络智能、超可靠低时延通信以及网络安全" ]
网络出版日期:2020-01,
纸质出版日期:2020-01-20
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张贤, 曹雪妍, 刘炳宏, 等. 6G智慧雾无线接入网:架构与关键技术[J]. 电信科学, 2020,36(1):3-10.
Xian ZHANG, Xueyan CAO, Binghong LIU, et al. Smart fog radio access networks for 6G:architecture and key technologies[J]. Telecommunications science, 2020, 36(1): 3-10.
张贤, 曹雪妍, 刘炳宏, 等. 6G智慧雾无线接入网:架构与关键技术[J]. 电信科学, 2020,36(1):3-10. DOI: 10.11959/j.issn.1000-0801.2020012.
Xian ZHANG, Xueyan CAO, Binghong LIU, et al. Smart fog radio access networks for 6G:architecture and key technologies[J]. Telecommunications science, 2020, 36(1): 3-10. DOI: 10.11959/j.issn.1000-0801.2020012.
融合雾无线接入网、非正交多址技术以及人工智能技术优势的智慧雾无线接入网,被认为是满足6G无线网络巨容量、极低时延及超连接性能需求的有效解决方案。将概述6G智慧雾无线接入网的基本原理、关键技术、国内外研究和产业进展、智慧雾无线接入网标准化进展等,探讨智慧雾无线接入网面临的技术挑战。
Taking full advantage of fog radio access network (F-RAN)
non-orthogonal multiple access techniques
and artificial intelligence techniques
smart fog radio access networks (S-FRAN) have been envisioned as a promising framework to fulfill the stringent requirements of 6G wireless network
such as ultra-high data rate
ultra-low latency
and ultra-large number of devices.The principles of S-RAN were firstly presented.Based on which
the key technol-ogies
research progress and standardization of S-FRAN were introduced.Finally
the challenges of S-FRAN were identified.
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彭木根 . 5G 无线接入网络:雾计算和云计算 [J ] . 电信科学 , 2018 , 34 ( 4 ):190.
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DING Z , FAN P , KARAGIANNIDIS G , et al . NOMA assisted wireless caching:strategies and performance analysis [J ] . IEEE Transactions on Communications , 2018 , 66 ( 10 ): 4854 - 4876 .
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LIU Y , YU F , LI X , et al . Distributed resource allocation and computation offloading in fog and cloud networks with non-orthogonal multiple access [J ] . IEEE Transactions on Vehi-cular Technology , 2018 , 67 ( 12 ): 12137 - 12151 .
3GPP.Study on non-orthogonal multiple access (NOMA) for NR (Rel-16):TR38.812 [S ] .2019. 2019 .
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ITU-T.Architectural framework for machine learning in future networks including IMT-2020:recommendation ITU-T Y.317 [S ] . 2019 .
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