Studying On The Quality Evaluation And Promotion Of LTE Business Based On User Perception

With the increasing development of the mobile Internet and mobile terminals,the ways in which end-users obtain information are more diverse,and users are increasingly relying on the Internet.The analysis of user's personalized needs,user experience,and user perception has become a hot topic.Whether the user-perceived judging result is consistent with the user's actual feelings,the key is to extract the actual perception of the user's using service from the network-side indicators.This article starts with a rich data source on the mobile operator's network side.Based on the results of big data mining,the company builds a user perception evaluation system for mainstream services based on the mainstream business of the mobile Internet,according to users' different services(such as instant message,online music,video,download,etc.),above all,generate different service characteristic cell sets and build a cell service characteristic model;secondly,according to different service types,collect statistics on the distribution of user-perceived indicators under different service types(awareness indicators include,but are not limited to,uplink and downlink rates,end-to-end delay,and access success.Rate indicators,etc.,combined with different cell service clustering models to generate a perceptual index standard for a specific business model's cells;final,based on the cell service model and perceptual indicator system,a method of machine learning is used to generate the coverage of the cell based on a specific business model.The optimal configuration of interference,parameters,resource allocation,and scheduling methods enables the improvement of perceived indicators.The expected goal of this solution is to use the different service types of each cell to cluster the cells based on the user service dimensions,form different types of cell models,analyze different types of cells,and develop a set of the most specific types of cells.Optimal solution.