期刊文献+

基于AI技术AAPC 5G网络上行弱覆盖场景方案研究与应用

Research and application of uplink weak coverage scenario in AAPC 5G network based on AI technology
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摘要 5G技术的发展引入了波束的概念,可通过不同的波束权值组合实现水平方向和垂直立体覆盖,使覆盖场景更加多样化,但同时波束权值优化的难度加大。当前无线网络是一个上行受限的网络,如何快速精准实现上下行网络覆盖均衡,使用户感知最佳成为当前无线网络运维的痛点。文章通过开展基于AI技术AAPC上行覆盖质量优化场景下的策略研究和应用,验证AI技术在5G天线波束权值自动寻优的高效性和对无线网络的优化效益。 The horizontal and vertical stereo coverage can be realized by different combination of beam weights,which makes the coverage scene more diversified,but it is more difficult to optimize the beam weights.At the same time,the current wireless network is a uplink-limited network,how to achieve fast and accurate uplink and downlink network coverage balance,make users feel the best operation of the current wireless network pain point.In this paper,the strategy research and application based on AI technology in AAPC uplink coverage quality optimization scenario are carried out to verify the effectiveness of AI technology in 5G antenna beam weight automatic optimization and the benefits of optimization of wireless networks.
作者 陈康波 李职昉 CHEN Kangbo;LI Zhifang(Hezhou Branch,China Mobile Communications Group Guangxi Co.,Ltd.,Hezhou 542899,China)
出处 《中国高新科技》 2024年第2期48-50,共3页
关键词 5G AI AAPC 上行覆盖质量优化 5G AI AAPC optimization of uplink coverage quality
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