Study On Propagation Characteristics Of 37GHz Millimeter Wave Channel In Indoor Environment Based On Improved BP Neural Network

Large capacity,high rate and low latency have become the prominent characteristics of 5G communication transmission.As millimeter wave,the core technology of 5G communication,has become a research hotspot because of its rich spectrum resources and wide development space.Millimeter wave channel modeling,as a key link in 5G communication transmission,is of great significance for the design and performance evaluation of wireless communication systems.Therefore,based on the improved BP neural network algorithm,the propagation characteristics such as path loss and delay spread of indoor millimeter wave channels in different environments have been studied in this thesis,which provides theoretical support for 5G indoor millimeter wave indoor signal coverage.The main research contents and results of this thesis are as follows:(1)The research status of millimeter wave channel modeling at home and abroad is summarized,the basic theory of millimeter wave channel and neural network algorithm is introduced,and the computer realization process of studying the propagation characteristics of millimeter wave channel based on BP neural network algorithm is described.(2)Through the analysis of millimeter wave channel propagation simulation analysis of the environment in the known literature,the simulation results are compared with the actual measurement results in the literature,and the consistency is good.(3)Under the indoor office environment conditions of line-of-sight propagation,the millimeter-wave propagation modeling simulation was carried out using the improved BP neural network algorithm,and the main parameters such as path loss,RMS delay spread,received power,angle of arrival and other parameters were analyzed and compared with traditional algorithm.Compared with the simulation results of the traditional learning algorithm,the prediction accuracy of the BP neural network algorithm in this paper is higher than that of the traditional algorithm.(4)In the indoor home environment conditions of non-line-of-sight propagation,the millimeter-wave propagation modeling simulation was carried out by using the improved BP neural network algorithm,the optimal placement of the transmitter was discussed,and the path loss,RMS delay spread and received power were analyzed.The main parameters such as power show that the BP neural network algorithm can predict the relevant channel parameters well.