Analysis And Research On LTE Network Optimization Based On MR Data

Since operators obtained 4G licenses in 2013,the construction of LTE networks has gradually matured.Since the issuance of 5G licenses in 2019,the era of the Internet of Everything is coming.The continuous explosion of communication traffic and new business needs have forced the deep extension of 4G mobile communications.Although the construction of 5G networks has begun to take shape,as 3G networks are gradually closed,4G networks are still the basis for ensuring network coverage.The development also brings pressure.The coverage of 4G-LTE networks continues to expand,and users have higher and higher requirements for network quality.Outdoors,indoors,high-rises,and basements require high-quality user experience everywhere.The capital to seize the market is no longer the previous low tariffs,and only a place can be occupied by user perception and wireless network quality.Operators urgently need low-cost and efficient LTE network optimization solutions to enhance the 4G wireless network brand,and at the same time,it is also the basis for competing for 5G customers.This article introduces the development of mobile communication technology,outlines LTE network characteristics and network architecture,and introduces LTE network frequency division multiple access technology,MIMO multiple input multiple output technology and AMC link adaptation technology in depth.Then use the MR big data solution to conduct a comprehensive and accurate network coverage assessment of a medium-sized city LTE network,classify and analyze weak coverage sites,analyze the RSRP distribution of the cell,and analyze the cell network quality to provide reference for later network optimization and network construction.Plan and basis.Finally,according to the evaluation results,this article optimizes and dealswith the cases of urban areas with weak coverage,poor quality cells,and high value cells,and proposes optimization suggestions and practical optimization solutions for other similar cases,and tests and compares the optimized results.The problem is effectively improved by the micro-distribution system,and the problem of poor quality is optimized by adjusting the electric downtilt coverage.This project has improved the network quality of users in some urban coverage sites,and provided solutions for future in-depth coverage optimization problems.