基于MR数据的GSM网立体邻区优化技术研究

Research on the GSM cell three-dimensional neighborhood optimization based on measurement report data

随着移动用户数量和业务量指数增长,在核心城市的用户话务密集地段,小区半径已不足百米,室外冗余覆盖现象严重,室内深度覆盖不足。用户的话务和流量在立体空间上密集分布,低、中、高层的无线环境差异较大。本文深入研究OMC-MR测量数据和室内扫频数据关联方法,实现室内低、中、高不同立体空间覆盖模型,在分层优化用户邻区关系、加强深度覆盖等方面取得一定经验。

With the exponential growth of the mobile users and traffic load, the cell coverage radius is less than a hundred meters in the densely populated urban area, which endures serious over coverage outdoor and insufficiency of deep coverage indoors. The voice traffic and data flow densely distributes in three dimensional space, where the wireless condition varies on the low, middle and high layers. This thesis gives deeply research on the method of relating OMC-MR measurement data and indoor frequency sweep data together to establish different coverage models in regard to low, middle and high layers indoor space. This thesis also gain certain experience in layered optimization of the cell neighborhood relations and method of deep coverage planning.