基于MDT指纹特征库的IAOA定位算法研究和应用

Research and Application of IAOA Location Algorithm based on MDT Fingerprint Feature Library

随着近几年LTE基站的大规模建设,LTE网络结构变得异常复杂,弱覆盖区域的精准定位将是面临的难题,若不能很好的解决弱覆盖区域,将会直接影响用户的感知体验。另外弱覆盖定位精度的提升可改善建站的有效性,节约建站成本。分析对比各种定位算法的优劣,结合移动通信的特性,利用终端上传的MR数据,研究应用IAOA结合MDT指纹特征库的定位算法,经验证可有效提升LTE弱覆盖的定位精度。

With the large-scale construction of LTE basestations in recent years,the LTE network structure becomes extremely complicated,and the precise positioning of weak coverage areas would be a difficult problem.If the weak coverage area is not solved well,it would directly affect the user’s perceived experience.In addition,the improvement of the positioning accuracy of the weak coverage areas can improve the effectiveness of station construction and save the cost of station construction.By analyzing and comparing the advantages and disadvantages of various localization algorithms,combining with the characteristics of mobile communication,and using the MR(Measure Report)data uploaded by the user,the localization algorithm based on IAOA(Improved Angle of Arrival)and MDT(Minimized Drive Test)fingerprint feature library is explored,and all this indicates that the localization accuracy of LTE weak coverage areas can be effectively improved.