大数据驱动的“人工智能”无线网络  

Big Data-Driven "Artificial Intelligence" Wireless Network

作　　者：张琰[1] 盛敏[1] 李建东[1] ZHANG Yan SHENG Min LI Jiandong(Xidian University,Xi＇an 710071,China)

机构地区：[1]西安电子科技大学,陕西西安710071

出　　处：《中兴通讯技术》2018年第2期2-5,共4页ZTE Technology Journal

基　　金：国家科技重大专项(2017ZX03001010-004);国家自然科学基金(61725103)

摘　　要：提出了以用户特征获取与分析、工作参数配置与调整、智慧资源管控与优化、承载能力提升与进化为支撑的智能无线网络功能架构。以网络资源与用户需求的精准匹配为目标,研究了大数据分析与无线网络人工智能特性间的耦合关系。给出了大数据分析以及人工智能在无线网络中的典型用例,并初步验证了其有效性,同时展望了智能无线网络的发展前景和方向。In this paper, a smart wireless network architecture based on acquisition and analysis of user characteristics, configuration and adjustment of work parameters, intelligent resource management and optimization, and capacity improvement and evolution is proposed. With the accurate matching of network resources and user requirements, the coupling between big data analysis and artificial intelligence of wireless network is studied. The typical use cases of big data analysis and artificial intelligence in wireless networks are given. The validity of this model is verified, and the development prospect and direction of smart wireless networks are also forecasted.

关 键 词：大数据分析 人工智能 无线资源管理 服务质量(QoS) 

分 类 号：TN929.5[电子电信—通信与信息系统]