深度覆盖评估算法研究

Research on the deep coverage evaluation

数据业务主要分布于室内,室内深度覆盖质量的好坏直接反应数据业务的满意程度。传统深度覆盖评估方法单纯使用测量报告(Measure Report Ourdoor,MR)数据,LTE用户量少、接入Wi-Fi等原因会使部分室内区域没有MR数据从而最终导致整个区域深度覆盖评估结果不准确。为此,本文引入系统仿真数据,提出一种MR与系统仿真数据相结合的深度覆盖评估方法,并对整个方法的操作步骤、算法合理性和有效性进行了介绍与验证。

Data service is mainly distributed in indoor, the quality of deep coverage can refl ect the satisfaction of data service. The traditional deep coverage evaluation only uses the MR data. There are some reasons can make no MR data in some indoor area, like a little LTE user, Wi-Fi access. And then, the result of the assessment is not accurate. In this paper, there is a new deep coverage evaluation of LTE system. Joining the system simulation data is to solve this problem. Introducing the operation steps, researching the rationality and validity are all the main contents of this paper.