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数据驱动的智能电信网络

发布时间:2020-10-22  作者:程强, 刘姿杉  阅读量:

数据驱动的智能电信网络

程强, 刘姿杉
(中国信息通信研究院,中国 北京 100191 )

摘要:高质量的电信数据集是开展各类机器学习应用的前提。分析了电信数据所具备的特性及面向机器学习应用的要求,对数据驱动的电信网络智能化算法与应用进行了总结。电信网络拥有丰富的数据和计算资源,具有应用人工智能技术的巨大空间和潜力。利用人工智能技术赋能电信网络,有望实现网络智能部署、运维自治、智能管理和优化。
关键词:数据驱动;网络智能化;人工智能;机器学习


Data Empowered Intelligent Communication Networks

CHENG Qiang, LIU Zishan
(China Academy of Information and Communication Technology, Beijing 100191, China )

Abstract: High-quality network data sets are the prerequisite for developing the machine learning applications. The characteristics of the network data and the requirements for applying in the machine learning application are analyzed in the paper, and then the data-driven intelligent network methods and use cases are summarized. The communication networks have a plentiful of data and computing resources, and thus have a huge potential for applying the artificial intelligence (AI) technology to develop the intelligent network. The application of the AI technology to empower the communication networks is expected to realize intelligent network deployment, autonomous operation and maintenance, intelligent management and optimization.
Keywords: data driven; intelligent network; artificial intelligence; machine learning

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