Design And Optimization Of Coverage Prediction Algorithm For Multi-system Indoor Distribution System

With the rapid development of mobile communication technology and the continuous evolution of the mobile network standard,smartphones have been widely used in recent years,and the number of applications has been increasing.People have higher user experience requirements for wireless communication quality not only in outdoor environment,but also in indoor environment,all of which are due to the gradual increase in the degree of informationization in recent years.People's daily work,communication and life-related activities mostly occur in indoor environment.Therefore,people pay more and more attention to the quality of indoor wireless communication coverage.In order to meet the growing demand for indoor communications and to continuously improve user experience,it is of great significance to build a good indoor coverage environment and enhance the quality of wireless coverage in indoor scenarios.As far as the current technology is concerned,one solution to the indoor coverage problem is to utilize the indoor distribution system to cover the indoor environment uniformly and in depth.This paper mainly designs and implements the coverage prediction related module of a multi-mode indoor distribution system design software.The so-called multi-mode is that as the scale of LTE network construction becomes larger,each operator has 2G and 3G,4G,WLAN and other modes.So in the design of software the issue of coexistence of multiple systems should be considered,and the indoor distribution system design and planning under various systems can be well compatible.Coverage prediction mainly refers to field strength prediction of indoor distribution system,which is used to show the coverage effect of the designed system.In addition,due to the complex indoor environment,there are weak coverage areas,so the introduction scenario of signal transmission between buildings to make up the lack of indoor coverage.At the same time,it is usually difficult to determine the optimal placement of antennas in the design of indoor distribution systems.In this paper,an antenna smart placement algorithm is also proposed to solve this problem.The main work of this paper includes:1.Field strength prediction function for the indoor distribution system design software is designed.This function can predict the field strength in certain area,and can effectively render the area according to the coverage result.Moreover,mathematical statistics is performed based on the predicted results,and are shown in the form of illustrations directly on the side of the rendered drawings.This is not only convenient for designers to modify the design of the data according to the data,but also can be used as a network optimization personnel review.As a multi-mode indoor distribution system,with this function,coverage prediction function under different source systems can be performed on the same system respectively.2.Function of signal transmission between buildings for the indoor distribution system design software is designed.This function can realize the coverage demonstration of the designated antenna and the target buildings so that the designer who needs to design the indoor-outdoor coordinated coverage scheme can obtain better outdoor coverage according to the presentation effect by adjusting the position,angle and power value of the antenna during construction effect.3.An intelligent placement algorithm based on machine learning is proposed.According to the drawing information it can automatically adjust the number and location of the antenna to achieve the best indoor coverage,which provides help for the designer to improve the quality of indoor coverage.