通信人工智能的下一个十年

doi:10.11959/j.issn.1000-0801.2021055

Abstract

Abstract:

It has been an exciting journey since the mobile communications and AI were conceived 37 years and 64 years ago.While both fields evolved independently and profoundly changed communications and computing industries, the rapid convergence of 5G and AI is beginning to significantly transform the core communication infrastructure, network management and vertical applications.The individual roadmaps of mobile communications and artificial intelligence in the early stage were firstly outlined, with a concentration to review the era from 3G to 5G when AI and mobile communications started to converge.With regard to telecommunications artificial intelligence, the progress of AI in the ecosystem of mobile communications was further introduced in detail, including network infrastructure, network operation and management, business operation and management, intelligent applications towards BSS ＆amp; OSS convergence, verticals and private networks etc.Then the classifications of AI in telecom ecosystems were summarized along with its evolution paths specified by various international telecommunications standardization bodies.Towards the next decade, the prospective roadmap of telecommunications artificial intelligence was forecasted.In line with 3GPP and ITU-R’s timeline of 5G ＆amp; 6G, the network intelligence following 3GPP and O-RAN routes, experience and intention driven network management and operation, network AI signaling system, intelligent middle-office based BSS, intelligent customer experience management and policy control driven by BSS＆amp; OSS convergence, evolution from SLA to ELA, and intelligent private network for verticals were further explored.It concludes that with the vision AI will reshape the future B5G/6G landscape, and we need fully take the unprecedented opportunities.

Key words: AI, mobile communication, 5G, GPT, network intelligence, intent based network, network AI signaling system

CLC Number:

TN929.5
TP18

Ye OUYANG, Lilei WANG, Aidong YANG, Maulik SHAH, David BELANGER, Tongqing GAO, Leping WEI, Yaqin ZHANG. Next decade of telecommunications artificial intelligence[J]. Telecommunications Science, 2021, 37(3): 1-36.

Figures/Tables 26

References 133

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	GSMA	ETSI	TMF
L0	系统提供辅助监控功能动态任务手动执行	完全手工	手工运维
L1	根据现有规则执行子任务	网络管理系统生成批量的设备配置脚本	辅助运维
L2	为某些单元启用闭环运维	实现部分自治	部分自治网络
L3	基于L2功能感知实时环境变化在某些领域中优化并调整自身以适应外部环境	有条件的自治	有条件的自治网络
		在服务生命周期的某些阶段实现自动化管理
L4	基于 L3 功能在更复杂的跨域环境中实现对服务和客户体验驱动网络的预测	高度自治	高度自治网络
	主动闭环管理	实现业务感知、主动运维、基于SLA的自愈、业务驱动的自治网络
L5	拥有跨服务、域和整个生命周期闭环自动化功能完全的自治网络	完全自治管理	完全自治的网络

	移动网络基础设施领域	网络管理领域	电信业务领域	跨领域的融合智能化	专网领域
L0	?			?	?
L1	?	?	?	?	?
L2		?	?
L3
L4

Next decade of telecommunications artificial intelligence

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