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基于人工智能的VoLTE感知优化算法设计与实现

Design and realization of VoLTE perception problem optimization system based on AI technology
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摘要 设计并实现VoLTE断续、单通感知问题智能分析及优化算法.算法以因子分析、决策树、深度学习为理论基础,对VoLTE断续、单通问题进行4域定界,对定界于eUTRAN侧问题进行原因分析、解决方案制定.经实际验证算法能较好实现所设计功能,问题定界及原因定位精准,解决方案制定有效. An algorithm which could optimize VoLTE interrupted or single pass problem was designed and realized.The algorithm was based on factor analysis method,decision tree algorithm and deep learning theory.It can define where the problem happens,analyze the reason and output the solution.The algorithm can perfectly realize its functions through practice.
作者 孔庆军 刘极祥 朱东岩 张兴虎 于浣 KONG Qing-jun;LIU Ji-xiang;ZHU Dong-yan;ZHANG Xing-hu;YU Huan(China Mobile Group Liaoning Co.,Ltd.,Shenyang 110179,China)
出处 《电信工程技术与标准化》 2018年第A01期37-41,共5页 Telecom Engineering Technics and Standardization
关键词 VoLTE单通 VoLTE断续 因子分析 深度学习 决策树 VoLTE single pass VoLTE interruption factor analysis deep learning decision tree
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