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作 者:顾涛 姜盼盼 常宾宝 房志强 GU Tao;JIANG Panpan;CHANG Binbao;FANG Zhiqiang(China Mobile Group Shandong Co.,Ltd.,Jining Branch,Jining 272000,Chin)
机构地区:[1]中国移动通信集团山东有限公司济宁分公司,山东济宁272000
出 处:《移动通信》2018年第8期73-78,共6页Mobile Communications
摘 要:为充分发挥网络资源效益的最大化,持久保持用户的最佳感知,并解决人工上站成本高、周期长、实时性差的问题。通过研究AOA数据和天线权值理论基础,提出一种最大用户群方向角自优化方法。该方法以MR数据为基础,通过高速解析MRS文件,得到AOA采样点分布矩阵,结合现网工参和卡尔曼预测算法,得到最大用户群偏离工参的角度,通过调整天线权值,使得天线的主打方向实时正对最大用户群,实现增强覆盖和提高用户感知的目的。In order to make full use of the maximization of network resource benefit, enduringly maintain user optimal perception and deal with the problems such as the high labor cost, long cycle and bad real time, a self-optimizing method of direction angle of maximum user group is proposed according to AOA data and antenna weight theory. Based on MR data, the proposed method fast parses MRS to obtain the distribution matrix of sampled points. Combined with engineering specifications in current networks and Kalman prediction algorithm, the angle of maximum user group deviating from engineering specifications is derived. By adjusting antenna weight, the main direction of the antenna can be opposite maximum user group in real time to achieve the goals of enhancing coverage and user perception.
分 类 号:TN929.5[电子电信—通信与信息系统]
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