数据驱动的智能电信网络

Data Empowered Intelligent Communication Networks

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,总结了数据驱动的电信网络智能化算法与应用。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。

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 plenty 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, and intelligent management and optimization.