Research on end-to-end network slicing technology based on AI in mobile networks

Abstract

Abstract: In order to cope with the challenges of vertical industry application and massive data distribution of mobile network differentiation in the future, the use of network slicing technology to transform the existing network architecture is widely recognized. Focused on the problems of air interface in mobile network, this paper proposes an end-to-end network slicing architecture including the virtualization of wireless access network, and a mapping method of service level protocol parameters based on network big data. A feasible method of slicing resource management provides practical reference for the realization of AI-based end-to-end network slicing in mobile networks.

Key words: network slicing, artificial intelligence, virtualization

LI Jing, DONG Qiuli, YE Yukai. Research on end-to-end network slicing technology based on AI in mobile networks[J]. Information and Communications Technology and Policy, 2020, 46(10): 78-83.

Add to citation manager EndNote|Ris|BibTeX

URL: http://ictp.caict.ac.cn/EN/Y2020/V46/I10/78

References 7

[1]	P. Demestichas et al. 5G on the horizon: key challengesfor the Radio-Access network [ J ]. IEEE VehicularTechnology Magazine, 2013,8(3):47-53.
[2]	R. Li et al. Deep reinforcement learning for resourcemanagement in network slicing[J]. IEEE Access, 2018,
(6)	:74429-74441.
[3]	李静,董秋丽,廖敏. URLLC 应用场景及未来发展研究[J]. 移动通信,2020,44(2):20-24+29.
[4]	A. Aijaz, Hap-SliceR: a radio resource slicing frameworkfor 5G networks with haptic communications [J]. IEEE
	Systems Journal, 2018,12(3): 2285-2296.
[5]	J. C. Patni and M. S. Aswal, Distributed load balancingmodel for grid computing environment [ R ]. 2015 1st
	International Conference on Next Generation ComputingTechnologies (NGCT), Dehradun, 2015.
[6]	3GPP. System architecture for the 5G System (5GS)(Release 15)[S], 2018.
[7]	Y. Xu, W. Xu, Z. Wang, J. Lin and S. Cui. Loadbalancing for ultradense networks: a deep reinforcementlearning-based approach [ J ]. IEEE Internet of ThingsJournal, 2019,6(6):9399-9412.

[1]	CHENG Qiang, LIU Zishan. Intelligent telecommunication networks: current status and future prospects [J]. Information and Communications Technology and Policy, 2020, 46(9): 16-22.
[2]	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.
[3]	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.
[4]	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.
[5]	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.
[6]	XU Yunbin. Research on 5G transport network slice management and control technology [J]. Information and Communications Technology and Policy, 2020, 46(5): 33-37.
[7]	YANG Mingchuan. Big Data and Artificial Intelligence to build the future of digital transformation [J]. Information and Communications Technology and Policy, 2020, 46(4): 1-6.
[8]	LIU Danni, LI Qi, ZHANG Yan, ZHANG Song. Research on application of 5G technology in electric power emergency communication [J]. Information and Communications Technology and Policy, 2020, 46(4): 41-46.
[9]	ZHANG Yuanjing, WANG Yao, XIE Jun, BI Ran. Analysis on security of 5G network and suggestions for security scheme [J]. Information and Communications Technology and Policy, 2020, 46(4): 47-53.
[10]	WEI Wei, SHANG Tieli, ZHOU Shuai. The impact and the countermeasures of Artificial Intelligence on the governance of Telecom Network Fraud [J]. Information and Communications Technology and Policy, 2020, 46(4): 80-84.
[11]	CHEN Wanling, LIU Qingsong, LIN Jiequn. Research on application of artificial intelligence technology in digital twin city [J]. Information and Communications Technology and Policy, 2020, 46(3): 16-19.
[12]	KONG Ling, ZHANG Yanjie, FAN Dian. Research on the development and application of mobile edge computing [J]. Information and Communications Technology and Policy, 2020, 46(3): 81-85.
[13]	YANG Hongmei, XIE Jun. Application and security analysis of 5G Network slice [J]. Information and Communications Technology and Policy, 2020, 46(2): 25-29.
[14]	ZHANG Jian, TANG Hongyu, LIU Wentao. Security vulnerability analysis and protection research of virtualization platform [J]. Information and Communications Technology and Policy, 2020, 46(2): 41-45.
[15]	XU Muhong, WANG Xingyan. MEC technology and application in the video surveillance field [J]. Information and Communications Technology and Policy, 2020, 46(2): 87-91.