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[ "潘思宇(1994- ),男,现就职于中国联合网络通信有限公司研究院大数据与 IT 技术研究中心,主要从事数据挖掘、算法研究和数学建模等方面的研究工作。" ]
[ "张云勇(1976- ),男,博士,中国联合网络通信有限公司研究院院长、教授级高级工程师,国家“百千万人才工程”入选者,荣获国务院特殊津贴专家称号,入选中共中央组织部“青年拔尖人才计划”、“中青年科技创新领军人才”、“中国青年科技奖”国务院国有资产监督管理委员会候选名单。主要研究方向为云计算、移动互联网、物联网、大数据、信息安全、SDN/NFV国际行业标准、新技术实验、国家重大专项的研发、验证及实施等。" ]
[ "张溶芳(1991- ),女,中国联合网络通信有限公司研究院大数据与 IT 技术研究中心机器学习算法工程师,主要从事数据挖掘、建模、数据可视化等方面的研究工作。" ]
[ "张第(1986-),男,中国联合网络通信有限公司研究院大数据与 IT 技术研究中心工程师,主要从事数据挖掘、数据加工等方面的研究工作。" ]
网络出版日期:2019-04,
纸质出版日期:2019-04-20
移动端阅览
潘思宇, 张云勇, 张溶芳, 等. 5G时代,人工智能为运营商赋能[J]. 电信科学, 2019,35(4):95-102.
Siyu PAN, Yunyong ZHANG, Rongfang ZHANG, et al. Empowering MNOs with AI in 5G era[J]. Telecommunications science, 2019, 35(4): 95-102.
潘思宇, 张云勇, 张溶芳, 等. 5G时代,人工智能为运营商赋能[J]. 电信科学, 2019,35(4):95-102. DOI: 10.11959/j.issn.1000-0801.2019068.
Siyu PAN, Yunyong ZHANG, Rongfang ZHANG, et al. Empowering MNOs with AI in 5G era[J]. Telecommunications science, 2019, 35(4): 95-102. DOI: 10.11959/j.issn.1000-0801.2019068.
作为下一代移动通信技术,5G的高带宽、低时延等特点使未来网络可以支持更为丰富的应用场景,如物联网、VR/AR等。层出不穷的应用给运营商带来流量的持续爆发式增长,流量和收入的“剪刀差”进一步拉大,使运营商面临严峻的挑战。随着人工智能和机器学习技术的不断成熟,运营商既能对自身业务进行智能化演进,又能借助“管道”的优势,进入更多的领域,为消费者提供定制化的解决方案。从 5 个方面阐述了在5G时代AI如何为运营商赋能:首先介绍了5G为运营商带来的机遇和挑战,论述了运营商应用AI技术的必要性和可行性。并结合运营商具体业务提出了AI与运营商业务深度结合的3个领域,即智能网络、智能营销和服务和产业互联网。最后,指出了运营商全面应用AI技术可能面临的挑战。
As the next generation of telecommunication standard and technology
5G makes it possible for the network to support more advanced technologies like IoT
VR/AR
etc
due to its unique features
high bandwidth and low latency.Those mushrooming new application scenarios and service demand has been bringing MNOs (mobile network operators) huge opportunities as well as challenges.With the development of AI and machine learning technology
MNOs can not only upgrade their own business but also enter more fields with the advantage of “data tunnel” to provide customized solutions for consumers.How AI can empower the MNOs in 5G era from 5 aspects was represented.First of all
the possible challenges brought by 5G were introduced.What entailed was the necessity and feasibility.Then
3 points where MNOs could focus on to carry out AI technologies were discussed
as namely intelligent network
intelligent marketing and service and industrial internet.Finally
the possible difficulties faced by MNOs when applying AI technologies in the future were forecasted.
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