Research On Dot-based LTE Indoor Coverage Solution

With the commercialization of China's LTE network,the data traffic of mobile communication networks has exploded.According to test data of a company in Guangzhou,China,Jakarta,Indonesia and Mexico City,an average of 81.6% of mobile traffic comes from indoor terminals.Therefore,in the 4G era,the construction of indoor distribution systems is particularly important.The traditional indoor distribution system is difficult to coordinate,complicated to implement and difficult to expand.Therefore,the traditional indoor distribution construction method can not meet the needs of the MBB(mobile broadband)era.Operators need to deploy a new type of distribution system to solve indoor deep coverage problems.This paper explores and analyzes the method of Beijing Hualian using point system to solve the indoor coverage problem of LTE network,and optimizes the analysis of the capacity and coverage of this new indoor distribution system for indoor high-traffic scenarios,so as to better carry out inter-operator between the future.The flow of war has laid the technical foundation.The main work of this paper is as follows:Based on the above situation,this paper explores and analyzes the existing coverage of China Unicom in several parts.The site is aimed at Beijing Hualian,such a site with time characteristics,which effectively improves network performance and improves user perception.First,it summarizes the background,significance,and structure of the research topics.Secondly,it summarizes the key technologies of indoor distribution construction,,the characteristics of the application scenarios,analyzes the existing coverage,and proposes the coverage and construction methods in actual work.Then,it will focus on the specific requirements and management methods of the necessary links in the project implementation.Through the methods of parameter verification,rate analysis,signal leakage analysis and software test chart analysis,the coverage effect of Beijing Hualian is analyzed,and the network performance is improved through actual work optimization.