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Massive MIMO Antenna Array Channel Model And Its Performance Research

Posted on:2022-06-02Degree:MasterType:Thesis
Country:ChinaCandidate:T T QiuFull Text:PDF
GTID:2518306533495024Subject:Electronic information
Abstract/Summary:PDF Full Text Request
The rapid development of wireless communication technology drives the combination,development and progress of mobile communication and Internet,facing the increasing data traffic,the huge terminal equipment,the endless emergence of various new scene services and ultra-high data transmission rate in the future communication scenarios,the fourth generation mobile communication system has been unable to meet the needs.Massive multiple input multiple output(MIMO)technology has the characteristics of high speed,high system capacity and high spectrum efficiency without increasing the bandwidth and has become the key technology of future mobile communication technology.Based on the geometric scattering cluster model,the non-stationary characteristics of massive MIMO are studied,including space-time correlation function and system performance.The effectiveness of the proposed model is verified by simulation and comparative analysis of different data.Firstly,in the systems of massive multiple input multiple output(MIMO),an spatial correlation function for the complexity of the distribution of the azimuth angle of arrival(AAo A)and elevation angle of arrival(EAo A)is proposed,and then the channel model is implemented under this distribution.A typical antenna layout of Uniform Linear Array(ULA)is proposed as a 3 dimensional(3D)channel model for massive MIMO systems.On the basis of this model,we focus on the massive MIMO systems antennas average correlation and channel capacity.Based on the statistical physical channel model,the relationship between azimuth angles of arrival(AAo A)and elevation angles of arrival(EAo A)is derived.The far-field and near-field effects are modeled by the plane wave(PW)and spherical wave(SW).Furthermore,the influence of model parameters on the performance of massive MIMO systems is analyzed.The effectiveness of the proposed model is verified by simulation results.The proposed model is easy to be implemented and can be adjusted according to the communication environment.Secondly,considering that in a massive MIMO system,due to the limitation of antenna space,it is difficult to place a large number of antennas in a limited space,which makes the spatial correlation between the antennas very high,which further leads to the degradation of system performance.The introduction of multi-polarized antennas for massive MIMO systems can improve system performance and realize the effective utilization of space efficiency by reducing the correlation between antennas,thereby establishing a three-dimensional multi-polarized massive MIMO channel model.This model considers the effects of cross-polarization discrimination,number of antennas,antenna inclination and other parameters on system performance,and compares the performance of multi-polarized massive MIMO systems and single-polarized massive MIMO systems in different communication scenarios.The research results show that the performance of multi-polarized massive MIMO system is better than that of single-polarized massive MIMO system.Finally,in the view of the near-field effect and non-stationary characteristics of massive MIMO channels,a massive MIMO channel model based on scattering clusters is proposed.In the proposed model,the receiving channel is composed of the LOS propagation component and the NLOS propagation component passing through the scattering cluster,and the hybrid birth-death process and the visibility region method are introduced to describe the non-stationary characteristics of the channel.The influence of the non-stationary characteristics of the clusters on the MIMO channel is studied,including the spatial cross-correlation function(CCF)and the temporal auto-correlation function(ACF).Then a simulation model with a finite number of rays is proposed,and the simulation data is compared with the theoretical model.The numerical analysis results show that the proposed channel model can effectively describe the non-stationary characteristics of massive MIMO.
Keywords/Search Tags:massive MIMO, average correlation, channel capacity, non-stationary characteristic
PDF Full Text Request
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