首页|基于AI技术AAPC 5G网络上行弱覆盖场景方案研究与应用

基于AI技术AAPC 5G网络上行弱覆盖场景方案研究与应用

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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.
Research and application of uplink weak coverage scenario in AAPC 5G network based on AI technology
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.

5GAIAAPCoptimization of uplink coverage quality

陈康波、李职昉

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中国移动通信集团广西有限公司贺州分公司,广西 贺州 542899

5G AI AAPC 上行覆盖质量优化

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(2)
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