AI in 5G networks———usage scenario and standardization progress

Abstract

Chih-Lin I, SUN Qi, WU Jie, DUAN Ran. AI in 5G networks———usage scenario and standardization progress[J]. Information and Communications Technology and Policy, 2020, 46(9): 23-30.

Add to citation manager EndNote|Ris|BibTeX

URL: http://ictp.caict.ac.cn/EN/Y2020/V46/I9/23

References 22

[1]	王乐. 深入推进5G 融入百业服务大众助力经济社会转型升级[N]. 人民邮电, 2020-05-23:001.
[2]	中国人工智能产业联盟. 电信网络人工智能应用白皮书[R], 2018.
[3]	FuTURE Forum 5G SIG. Wireless big data for smart 5G[ R / OL ]. ( 2017-11 ) [ 2020-08-03 ]. http:/ / www.future-forum. org / dl / 171114/ whitepaper2017. rar.
[4]	FuTURE Forum 5G SIG. Mobile AI for smart 5Gempowered by wireless big data [ R / OL ]. (2018-02)[2020-08-03]. http:/ / www. future-forum. org / dl / 171114/2018mwc. rar.
[5]	FuTURE Forum 5G SIG. Data driven and intent aware smart wireless network [R / OL]. (2019-11) [2020-08-03]. http:/ / www. future-forum. org / dl / 191120/ 02-Data%20Driven% 20and% 20Intent% 20Aware% 20Smart%20Wireless%20Network%202019. pdf.
[6]	GSMA. AI in network use cases in China[R], 2019.
[7]	3GPP TS28. 233. Architecture enhancements for 5G System (5GS) to support network data analytics services (R16)[S], 2020.
[8]	3GPP TS37. 816. Study on RAN-centric data collection and utilization for LTE and NR (R16)[S], 2019.
[9]	3GPP S5-195631. Study on enhancement of management data analytics service[S], 2019.
[10]	3GPP TS 28. 812. Intent driven management services for mobile networks (R16)[S], 2020.
[11]	3GPP TS28. 313. Self-Organizing Networks (SON) for 5G networks (R16)[S], 2020.
[12]	ITU-T Recommendation Y. 3172. Architectural framework for machine learning in future networks including IMT- 2020[S], 2019.
[13]	ETSI GS ZSM. Zero-touch network and service management, reference architecture[S], 2019.
[14]	ETSI GS ENI 001. Experiential Networked Intelligence (ENI); system architecture; ENI use cases[S], 2019.
[15]	O-RAN. O-RAN-WG1-architecture-v02. 00: O-RAN WG1 architecture description v02. 00[S], 2020.
[16]	O-RAN. O-RAN use cases and deployment scenarios[R], 2020.
[17]	3GPP SP-190787. New study on autonomous network levels[S], 2019.
[18]	3GPP S5-203326. New WID on autonomous network levels[S], 2020.
[19]	3GPP RP-201304. New SID: study on further enhancement for data collection[S], 2020.
[20]	ETSI GS ENI 005. Experiential Networked Intelligence(ENI); system architecture[S], 2019.
[21]	ETSI GS ENI 002. Experiential Networked Intelligence(ENI); ENI requirements[S], 2019.
[22]	O-RAN. ORAN-WG2. A1. GA&P-v01.00: O-RAN working group 2; (A1 interface: general aspects and principles v01. 00)[S], 2019.

AI in 5G networks———usage scenario and standardization progress

PDF

Knowledge

Abstract

Cite this article

share this article

References 22

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	SHI Wei. Technical economic model of “5G + Industrial Internet” construction [J]. Information and Communications Technology and Policy, 2020, 46(9): 1-7.
[2]	CHENG Qiang, LIU Zishan. Intelligent telecommunication networks: current status and future prospects [J]. Information and Communications Technology and Policy, 2020, 46(9): 16-22.
[3]	LIAO Jun, TAN Pengju, ZHANG Dongyue, LIU Yongsheng. Research on the application of AI in telecom networks [J]. Information and Communications Technology and Policy, 2020, 46(9): 31-34.
[4]	PAN Feng, LYU Bo. Research on testing and inspection technology for synchronization based on artificial intelligence [J]. Information and Communications Technology and Policy, 2020, 46(9): 55-62.
[5]	WANG Libiao, LIU Kai. F5G digital infrastructure: the pioneer and foundation for high-quality development [J]. Information and Communications Technology and Policy, 2020, 46(9): 85-90.
[6]	HU Jiaxi. Assist beam management and 5G network capacity optimization based on deep learning [J]. Information and Communications Technology and Policy, 2020, 46(9): 91-96.
[7]	MENG Wei, YUAN Liya, HAN Bingtao, LIU Tao. Exploration of model optimization architecture on the inference side of deep learning [J]. Information and Communications Technology and Policy, 2020, 46(9): 42-47.
[8]	KANG Chen, HAO Dayu, WANG Xiaoyan, LI Lu. Research on scene and technology of intelligent and connected driving in open mine [J]. Information and Communications Technology and Policy, 2020, 46(8): 52-58.
[9]	DAI Yuan. Accelerate 5G network and data center construction based on new infrastructure [J]. Information and Communications Technology and Policy, 2020, 46(6): 8-11.
[10]	LI Zejie, CAO Lei. Research on 5G network planning and testing indicators [J]. Information and Communications Technology and Policy, 2020, 46(6): 73-79.
[11]	ZHANG Haiyi, LI Fang, ZHAO Wenyu. 5G transport technology and standardization progress [J]. Information and Communications Technology and Policy, 2020, 46(5): 1-5.
[12]	HAN Liuyan, WANG Minxue, ZHANG Tingting, ZHANG Dechao. SPN technology and application for 5G transport [J]. Information and Communications Technology and Policy, 2020, 46(5): 6-10.
[13]	ZHU Lin, WANG Guangquan, WANG Haijun, WANG Zelin. Research on IP RAN enhanced techonology for 5G bearer networks [J]. Information and Communications Technology and Policy, 2020, 46(5): 11-16.
[14]	MA Peiyong, YANG Guangming, LIANG Xiaobin, LU Quan. 5G bearer co-construction and sharing practice [J]. Information and Communications Technology and Policy, 2020, 46(5): 17-23.
[15]	SONG Mengyang, LI Yan, JIANG Bo, JIANG Yi. 5G optical module technologies and programs comparison [J]. Information and Communications Technology and Policy, 2020, 46(5): 29-32.