基于假设检验和数据稀疏化实现功能特性评估

Evaluation on radio network functions via hypothesis test and sparseness

4G/5G网络功能特性合理应用可有效提升网络质量,但由于当前网络存在多种功能特性资源在同一区域共用的情况,造成功能特性评估结果可能产生误差,如何科学合理地实现精确评估成为急待解决的问题。本文通过数理统计方法,采用数据提取和栅格化假设检验计算、数据稀疏化和中值化处理、模拟应用步骤手段,达成功能特性模拟精确评估目标。

4G and 5G radio network functions can be used to improve network quality,valuation of functions may have error because several functions can be used in the same area,so how to scientifically improve the precision become the key problem to be solved.The paper used mathematical statistics methods,and achieved the goal of precise evaluation on radio network functions via data collection,rasterized hypothesis test,data sparseness,data median-transformation,speculation.