Study On The Optimization Of Network Coverage

LTE network is a new generation of communication technology,using a lot of new wireless communication technology,including the technology of orthogonal frequency division multiplexing,beamforming,multi antenna technology,the application of these new technologies greatly improve the system performance of communication network,but also brought some new problems to the network.The network optimization work,especially brings new problems and challenges for network coverage optimization.This paper will start with the new architecture,new technology and new problems of LTE network,and analyze the new method of LTE network coverage optimization through actual cases.This paper first introduces the background and significance of the research topic,LTE standards and industrial development,LTE network research,etc..Secondly,the network structure of LTE,the related frequency resources of LTE network coverage,networking mode,link budget,coverage scene,related parameters and PCI coverage planning are introduced.Then,the principles and methods of network optimization are analyzed,and the goals,contents,methods and workflow of LTE network optimization are introduced.Then,to meet the daily operation and maintenance of the network optimization of LTE network coverage optimization in weak coverage,the coverage area,pilot pollution case analysis,put forward by adjusting the frequency point to solve the weak coverage problem,adjust the pilot channel parameters to solve the coverage area,adjust the cell PCI to solve the pilot pollution problem.Then make a study on the special scene,high-speed rail coverage problem,puts forward the double RRU with cell technology,high-speed 4G network,4G network and 4G transition area of high-speed railway network inter network technology,and the application of these technologies to solve the optimization problem of high iron weak coverage,the coverage area and pilot pollution cover in.Finally,it summarizes the related work of this thesis and looks forward to the future of mobile network optimization.