| In recent years,with the development of modern wireless communication technologies,wireless communication systems must adapt to the ever-increasing number of users in order to meet the demand for new services.In this context,multiple input multiple output(MIMO)communication systems can provide high-speed transmission on transmitters and receivers while ensuring service quality,which has attracted the attention of many scholars.This paper is mainly based on the research of MIMO channel modeling,proposes different channel models for highway scenes,and deeply studies the antenna array of the MIMO channel model,the probability density function(Probability Distribution Functions,PDF),and the spatial correlation(Spatial Correlation,SC),channel capacity,time-varying spatial correlation,and analysis of the statistical characteristics of the proposed channel and related factors affecting the statistical characteristics of the channel,providing a broad idea and a good theoretical basis for channel modeling of wireless communication systems in various propagation scenarios.This article mainly conducts research from the following three aspects:First,by calculating the array factor of the planar array,the influence of the antenna element spacing on the large antenna array is analyzed.Based on the complexity and spatiality of wireless signal propagation,a three-dimensional spatial elliptical channel model suitable for highway environments is proposed,and a uniform rectangular array(Uniform Rectangular Array,URA)is set at both the receiving end and the transmitting end.Use this model to derive the angle of arrival(Angle of Arrival,Ao A),time of arrival(Time of Arrival,To A)probability density function(Probability Density Function,PDF)expressions,while studying the spatial correlation and spatial correlation of MIMO multi-antenna arrays Capacity,which elaborates on the influence of the angle of arrival,the Elevation of Arrival(Eo A),and the distance between the array elements on the spatial correlation and channel capacity.Secondly,the structure of the antenna array is explained.The uniform linear arrays are respectively set at the mobile receiver(MR)and mobile transmitter(Mobile Transport,MT)of the model.A mobile-to-mobile(Mobile to Mobile,M2M)channel model based on non-stationary geometry is proposed.This model uses an irregularly shaped geometric channel model to simulate communication environments such as highways and streets.By adjusting the distribution of effective scatterers,the model can be adapted to a variety of scenarios.In the model,the relative motion between MT and MR results in time-varying geometric statistics,which makes the model non-stationary.In addition,the motion characteristics of moving scatterers and their influence on channel statistics are studied for the first time in this model.Finally,for the vehicle to vehicle(V2V)mobile communication scenario,a three-dimensional broadband dual-cluster channel model for large-scale multiple-input multiple-output vehicle-to-vehicle communication is proposed.In the model,multiple confocal semi-ellipsoid models are used to describe the distribution of roadside environment clusters.In order to describe the non-stationarity of the channel,the birth and death process is used to simulate the dynamic characteristics of the cluster on the array axis and the time axis.The taps represent the propagation delays on different links and the evolution of the clusters.The spatial cross-correlation functions(CCF)and time autocorrelation functions(ACF)of the model on the propagation path are derived.The simulation results show that the model can describe the real massive MIMO V2 V communication environment well. |
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