MIMO Channel Modeling Theory And Simulation Research For 5G Vehicle Networking Communication Scenario

In recent years,the Fifth Generation(5G)mobile communication technology has been developed rapidly and is now one of the most widely used technologies.Traditional means of communication technology can no longer support all current 5G communication scenarios,and more accurate and reliable 5G channel models need to be built to make the new characteristics of the wireless channel more accurate.Thesis focuses on the theory and simulation of Multiple Input Multiple Output(MIMO)channel modeling for 5G Telematics communication scenario,starting with a detailed discussion of the steps of MIMO channel modeling,firstly,the steps of MIMO channel modeling are discussed in detail,then the channel model simulation is carried out based on different modeling methods.Three-Dimensional(3D)MIMO channel modeling is carried out based on the new characteristics of Two-Dimensional(2D)MIMO channels,the correlationbased channel modeling method and Vehicle to Vehicle(V2V)channel modeling method and scenario are extended,the main work includes the following two aspects.First,thesis summarizes the geometry-based and correlation-based basic channel modeling processes respectively,conducts an in-depth study on the key step of determining the largescale parameters,analyzes the existing Power Angular Spectrum(PAS)models with different distributions,and completes a Stochastic Channel Modeling(SCM)simulation study of the MIMO channel model based on the existing PAS models.The traditional correlation channel modeling simplifies the process by specifying the PAS model,which leads to the model not being generalized.An improved continuous-on-circle PAS model is proposed to address this problem,which can characterize different distributions by varying the real-valued parameters to make the modeled model more flexible,and can also be used to jointly characterize the pitch angle distribution in 3D models.A correlation-based MIMO channel model study is conducted based on this PAS model,extending the correlation-based channel modeling approach.Second,thesis investigates the MIMO channel model under one of the typical application scenarios of 5G MIMO: vehicular networking.Based on this,a 3D MIMO non-smooth V2 V channel model based on the tunnel environment is proposed for the relatively little research on channel modeling in the tunnel environment,and the existing research generally lacks the analysis of 3D moving scatterers.Combining the geometric models of the two-ball and halfcylinder models,time-varying angles and path lengths are introduced for studying the nonsmooth characteristics.The statistical properties of 2D and 3D channel models with different Vehicle Traffic Density(VTD)are also analyzed,emphasizing that the study of VTD is an integral part of the V2 V channel modeling process.The research in thesis extends the methods and scenarios of V2 V channel modeling and improves the efficiency of analyzing and simulating vehicular network communication systems.