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The Research Of 3D-MIMO Beamforming Technology Based On Base Station Cooperation

Posted on:2019-04-24Degree:MasterType:Thesis
Country:ChinaCandidate:C Y LuFull Text:PDF
GTID:2348330563954370Subject:Communication and Information System
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Massive Multiple Input Multiple Output(Massive MIMO)technique has attracted considerable attention in both academia and industry as a potential candidate technology in 5G.Meanwhile,distributing the massive antenna elements into planar array is a feasible way to reduce the antenna panel size in practical deployment.Massive MIMO with planar array is called the three dimensional MIMO(3D-MIMO),which can exploit the additional vertical space freedom,and improve the desired signal power in expected direction to finally enhance the throughput,spectral efficiency as well as the energy efficiency of the wireless communication system.Coordinated Multiple Points(CoMP)technique is also a promising technology in Long Term Evolution-Advanced(LTE-A).Through base station cooperation concepts,CoMP improves the cell-edge data rate and average data rate,and are suitable to increase spectral efficiency(and hence capacity)for much more dense network deployments in urban areas and capacity hotspots.Through coordinated processing,the throughput of cell-edge users can be improved significantly,and the inter-cell interference can also be eliminated.CoMP may lead to a more homogeneous Quality of Service(QoS)distribution over the service area.However,this increase for CoMP system costs more backhaul capacity and the complexity of signal processing.This thesis investigates the base station cooperation based 3D-MIMO beamforming from two aspects: 3D-MIMO and CoMP.Firstly,we study on the 3D-MIMO channel modeling.We compare the different method of 3D-MIMO modeling including the 3rd Generation Partnership Project(3GPP)protocol based 3D-MIMO channel modeling.The process of channel modeling for different scenarios,the generation of different large scale parameters and small scale parameters based on the protocol of 3GPP are also presented.Secondly,the thesis evaluates the performance of massive MIMO system with the3D-MIMO planer structure and conventional beamforming methods.Based on the above evaluation,we propose four different beamforming method in 3D-MIMO planer system with CoMP configuration.Finally,we propose a dynamic scheduling scheme with signal to leakage plus noise ratio(SLNR)precoding for CoMP in downlink 3D-MIMO transmission.For the proposed dynamic scheduling scheme,the possible CoMP user equipment(UE)is searched dynamically with low signal to interference plus noise ratio(SINR)that requires coordination with other base stations(BS).And then,the possible CoMP BS is searched semidynamically to provide enough gain for users.Simulation results show that the proposed scheme achieves almost the same performance as the full joint processing(JP)scheme,but with a significant reduction of computational complexity.
Keywords/Search Tags:three dimensional multiple-input-multiple-output(3D-MIMO), coordinated multiple points(CoMP), beamforming, computational complexity, scheduling
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