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1. 中国移动通信有限公司研究院,北京 100053
2. 中国移动通信集团有限公司,北京 100032
3. 中国移动通信集团河南有限公司,河南 郑州 450008
[ "邓灵莉(1980− ),女,中国移动通信有限公司研究院人工智能与智慧运营中心技术经理,主要研究方向为网络智能化标准、开源与产业运营" ]
[ "顾宁伦(1972− ),男,中国移动通信集团有限公司网络事业部副总经理,主要研究方向为网管支撑、内容网络、安全管理、政企业务支撑等领域" ]
[ "袁向阳(1978− ),男,中国移动通信有限公司研究院人工智能与智慧运营中心副总经理,主要研究方向为 BSS、OSS 等 IT 支撑系统及AI技术在网络智能化中的应用" ]
[ "余立(1981− ),男,中国移动通信有限公司研究院人工智能与智慧运营中心副总经理,主要研究方向为前沿移动通信技术、网络智能化、大数据和IT技术" ]
[ "冯俊兰(1974− ),女,中国移动通信有限公司研究院首席科学家、人工智能与智慧运营中心总经理,主要研究方向为人工智能、通信网络人工智能和网络智慧运营研发" ]
[ "邓超(1978− ),男,中国移动通信有限公司研究院人工智能与智慧运营中心常务副总经理,主要研究方向为人工智能、通信网络智能化、大数据和IT技术研发" ]
[ "杨志强(1963− ),女,中国移动通信有限公司研究院科学技术委员会常务副主任、教授级高级工程师,主要研究方向为信息通信领域技术发展策略研究、标准制定及网络总体研究及规划等" ]
[ "张同须(1964− ),男,中国移动通信有限公司研究院院长、教授级高级工程师,主要研究方向为移动及数据通信网络的设计及研究" ]
[ "吴荣宇(1973− ),男,中国移动通信集团河南有限公司网络管理中心高级工程师,主要研究方向为网络运维业务分析、网管规划、网管数据建模和分析、网络智能化应用" ]
[ "张新鹏(1978− ),男,中国移动通信集团河南有限公司网络管理中心总经理,主要研究方向为网络运维管理、网络运营分析、移动网络规划、网络智能化规划" ]
网络出版日期:2021-10,
纸质出版日期:2021-10-20
移动端阅览
邓灵莉, 顾宁伦, 袁向阳, 等. 网络智能化标准、开源与产业研究[J]. 电信科学, 2021,37(10):12-21.
Lingli DENG, Ninglun GU, Xiangyang YUAN, et al. Network intelligence standards, open source and industry research[J]. Telecommunications science, 2021, 37(10): 12-21.
邓灵莉, 顾宁伦, 袁向阳, 等. 网络智能化标准、开源与产业研究[J]. 电信科学, 2021,37(10):12-21. DOI: 10.11959/j.issn.1000-0801.2021217.
Lingli DENG, Ninglun GU, Xiangyang YUAN, et al. Network intelligence standards, open source and industry research[J]. Telecommunications science, 2021, 37(10): 12-21. DOI: 10.11959/j.issn.1000-0801.2021217.
网络智能化是AI技术与通信网络的硬件、软件、系统、流程等的深度融合,利用AI技术助力通信网络流程智能化,降本、增效、提质,促进技术体系变革,使能业务敏捷创新。自动驾驶网络提出通过简化网络架构、封装自治域和提供业务/网络操作控制闭环,实现用户体验最优化、管理操作自动化和资源效率最大化,为网络智能化明晰了目标架构和实现路径。首先,以自动驾驶网络的分层架构与分级框架为基础,梳理总结网络智能化技术体系;其次,对相关标准组织、开源社区、产业协作以及研发应用现状进行广泛调研;最后,结合运营商应用需求与相关实践,为引导后续产业发展提供差距分析、协作建议和总结展望。
Network intelligence is the deep integration of AI technology and communication network hardware
software
systems
processes
etc.to improve process intelligence
reduce costs
increase efficiency
improve quality
accelerate technology innovation
and enable service agility.The autonomous network proposes to optimize user experience
automate management operations
and maximize resource efficiency by simplifying the network architecture
encapsulating autonomous domains
and providing closed loops for business/network operation control
which clarifies the target architecture and implementation path for network intelligence.Firstly
based on the layered architecture and evaluation framework of the autonomous network
the network intelligent technology system was summerized.Secondly
extensive research on relevant standards organizations
open source communities
industrial collaboration
and R&D and application status were conducted.Finally
gap analysis
collaborative suggestions and summary prospects for guiding the following-up industry development were provided in terms of the application requirements from operators in related practices.
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