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作 者:黄嫚嫚 黄翔 周雪明 郭林 HUANG Manman;HUANG Xiang;ZHOU Xueming;GUO Lin(Xuzhou Branch,China Mobile Group Jiangsu Co.,Ltd.,Xuzhou 221018,China)
机构地区:[1]中国移动通信集团江苏有限公司徐州分公司,江苏徐州221018
出 处:《无线电通信技术》2024年第3期603-608,共6页Radio Communications Technology
摘 要:现网中存在较多潮汐特性的场景,用户在特定的时间范围内规律性迁移和聚集,但现有5G基站以固定的波束配置覆盖,无法随业务和人员的聚集而变化,在该场景下最优波束覆盖范围与用户位置存在不匹配的情况,也无法发挥5G有源天线单元(Active Antenna Unit,AAU)能够波束赋形的优势。此类场景的网络优化存在人工无法计算最优波束权值、突发情况网络覆盖应对慢以及人工上塔调整天线成本高等痛点。针对这些痛点,提出波束动态调度方案,通过大数据计算和蚁群算法的应用,实现自动波束寻优,智能识别潮汐场景,自适应调整AAU的广播权值,使同步信号块(Synchronization Signal/PBCH Block,SSB)广播权值始终指向用户集中的区域,从而达到最优的覆盖效果和天线增益。同时,方案在基站突发故障、人员突发聚集等场景也能发挥重要作用,实现5G网络应用发展和用户感知提升的双重目标。There are tidal characteristics in current network,and users migrate and gather regularly at a specific time.However,existing 5G base station coverage mode is fixed,and there is a mismatch between the optimal beam coverage range and the location where users gather,unable to adapt 5G coverage to business changes.It is also impossible to take advantage of the beamforming ability of 5G Active Antenna Unit(AAU)large-scale array antennas.For such scenario optimization,it is difficult to calculate the optimal weight manually,respond slowly to emergencies,and adjust the cost of manual towering,which is difficult to optimize.A scheme is proposed against these challenges.Through big data calculation,this scheme deploys the automatic optimization beam optimization scheme,intelligently identifies the tidal scene,and adaptively adjusts the broadcast weight of AAU,so that the Synchronization Signal/PBCH Block(SSB)broadcast weight always points to the area where the users are concentrated,so as to achieve the optimal coverage effect and antenna gain.At the same time,this scheme is also applicable to scenarios such as sudden failure at base station and personnel sudden aggregation,achieving the goal of 5G network business development and user satisfaction enhancement.
关 键 词:5G网络 潮汐效应 权值优化 智能波束寻优 自适应调整
分 类 号:TN929.5[电子电信—通信与信息系统]
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