Multi-input Multi-output (mimo) Modeling And Performance Analysis Of 3 D Research

Currently, MIMO technology has become an active area of research and is widelyused in the field of wireless communications technology, which has been proved that thetechnology can increase the channel capacity of wireless communication system，without increasing bandwidth and transmit power. Therefore, MIMO technology hasalso become one of the key technologies for next-generation wireless communicationsystems. However, the improvement of the performance in the system depends on thecharacteristics of the MIMO channel. Because of that, establishing the MIMO channelmodel efficiently and accurately to reflect the characteristics of the channel isparticularly important. Existing MIMO channel models are basically in thetwo-dimensional plane, not taking into account the height of the transmitting antennaand receiving antenna arrays, and also set the multipath components intotwo-dimensional plane. So, statistical parameters only have the azimuth components,without elevation components, which is not real in the actual wireless environment.In order to simulate the actual MIMO channel more realistically, the modeling of3D MIMO channel in the thesis is based on the geometric stochastic channel model.Meanwhile, the general3D antenna array and3D MIMO channel description areaccomplished, which reflects the actual characteristics of the MIMO channel moreappropriately. In the thesis, the modeling of the3D MIMO is followed three aspectsbelow:1. Modeling of arbitrary3D antenna array. For MIMO channel models, antennaarray model is crucial, because the antenna array defines the spatial dimension of thewireless channel. Existing channel models, however, only consider simple, lowcomplexity antenna models, which makes using arbitrary structure and pattern of theantenna be difficult. For MIMO system, the application of complex antenna is expectedto improve the system performance. An independent and arbitrary3D antenna arraymodel is modeled in the thesis. The reference coordinate system and the antenna arraystructure are constructed for the model. Meanwhile, the representations of the arrayelement pattern are discussed.3D antenna array in the simulation environment is also discussed. The simulation results show that3D antenna field pattern and the arraymodel are correct and practical.2. Modeling of general3D MIMO channel. Modeling the MIMO channel aims topredict the statistical properties of the channel. Make the statistical channel parametersto result a general description, such as the assessment of performance and practicality ofthe communications program. Typical MIMO channel models are only modeled in thetwo-dimensional plane. In order to simulate the actual MIMO transmission realistically,the thesis modeles the MIMO channel in3D as in the real world. The3D MIMOchannel model, following the geometry-based stochastic channel modeling method, is aray-based generic model, which allows creating an arbitrary two-direction radio channelmodel, and the antenna array is independent with the channel model. The simulationresults show the differences in performance with the differences of the antennaconfigurations, and prove that the channel capacity can be increased by increasing thenumber of antennas and the array element spacing.3. The application of beamforming techniques in3D MIMO system. In order toimprove the quality and the approximation of the ideal channel capacity based on the3D MIMO channel model, the thesis discusses the beamforming technology, and studythe use of beamforming on linear array and area array in3D MIMO system. Thesimulation results show that the beamforming technology can achieve the target of theusers in3D MIMO, and improve the performance of the system.