The Next Decade of Telecommunications Artificial Intelligence
- URL: http://arxiv.org/abs/2101.09163v4
- Date: Mon, 1 Mar 2021 14:41:49 GMT
- Title: The Next Decade of Telecommunications Artificial Intelligence
- Authors: Ye Ouyang (1), Lilei Wang (1), Aidong Yang (1), Maulik Shah (2), David
Belanger (3 and 4), Tongqing Gao (5), Leping Wei (6), Yaqin Zhang (7) ((1)
AsiaInfo Technologies, (2) Verizon, (3) AT&T, (4) Stevens Institute of
Technology, (5) China Mobile, (6) China Telecom, (7) Tsinghua University)
- Abstract summary: The paper first outlines the individual roadmaps of mobile communications and artificial intelligence in the early stage.
The paper then introduces in detail the progress of artificial intelligence in the ecosystem of mobile communications.
Towards the next decade, the paper forecasts the prospective roadmap of telecommunications artificial intelligence.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: It has been an exciting journey since the mobile communications and
artificial intelligence 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 deep learning is
beginning to significantly transform the core communication infrastructure,
network management and vertical applications. The paper first outlines the
individual roadmaps of mobile communications and artificial intelligence in the
early stage, 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 paper further introduces in detail the progress of
artificial intelligence in the ecosystem of mobile communications. The paper
then summarizes the classifications of AI in telecom ecosystems along with its
evolution paths specified by various international telecommunications
standardization bodies. Towards the next decade, the paper forecasts the
prospective roadmap of telecommunications artificial intelligence. In line with
3GPP and ITU-R timeline of 5G & 6G, the paper further explores the network
intelligence following 3GPP and ORAN routes respectively, experience and
intention driven network management and operation, network AI signalling
system, intelligent middle-office based BSS, intelligent customer experience
management and policy control driven by BSS and OSS convergence, evolution from
SLA to ELA, and intelligent private network for verticals. The paper is
concluded with the vision that AI will reshape the future B5G or 6G landscape
and we need pivot our R&D, standardizations, and ecosystem to fully take the
unprecedented opportunities.
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