The Research On Key Technologies Of LTE Indoor Network Planning And Optimization

In recent years, the popularity of 4G network has greatly improved.And the traffic of voice, high-definition video communication and data transmission of mobile terminals in indoor wireless environment has also increased rapidly. So the indoor wireless communication network coverage requirement is getting higher and higher. Effective planning and design of indoor communication network and performance optimization has gradually become the focus of research in related fields.Indoor distribution system is a technical scheme to plan the coverage quality of indoor network effectively. Indoor distribution design software is the most commonly used indoor network planning and design tool. The coverage performance prediction of indoor network for design scheme is the basis of planning and design. The effectiveness of performance prediction is closely related to the choice of indoor propagation model.And the efficiency and accuracy of design and prediction when using indoor distribution design software are paid more and more attention in the actual design and design of designers.This paper gives a systematic and comprehensive analysis of indoor propagation model using indoor communication network. And the system design of distributed design software to enhance the efficiency of indoor prediction and trunk optimization algorithm is studied. The main work includes:1 .The shortage degree and demand degree of indoor wireless coverage are described.Then the development of indoor wireless network coverage and the research status at home and abroad are introduced. The organization structure and overall design flow of indoor distribution system are introduced. And make the necessary analysis of indoor design software.2.Some empirical models of indoor propagation and a deterministic model based including ray tracing model are contrasted. The advantages and disadvantages of the empiric model and the ray tracing model are analyzed.And several models for indoor propagation model correction are analyzed. This paper mainly studies the emulation and model correction of the empirical model of indoor propagation, and analyzes the simulation and calibration results in detail.3.At last, the backbone optimization algorithm is studied to solve the problem of unreasonable planning and design caused by artificial selection of device and source parameters.There is a problem that the running time of coverage prediction is too long when using AIDP design software.We have researched the initial algorithm which covers the function of forecasting and put forward the improved algorithm which can improve the efficiency of coverage prediction and improve the users’satisfaction to the software,which is an innovation of this paper.