Research On Interference Suppression Strategy Of Large Scale MIMO In Time Division Duplex System

In the future wireless communication systems,we put forward higher requirements on the channel capacity,spectrum utilization,data transmission rate and the service quality.We need a higher data transmission speed and better quality of service.The wireless MIMO system has a huge advantage in the communication system.MIMO technology has become one of the key technologies in the field of wireless communication,through recent years of sustained development,MIMO technology has been be applied in a variety of wireless communication systems.Large scale MIMO is regarded as the key technology of the next generation communication system.However,the interference of the large-scale MIMO system affects seriously the performance of the communication system and also becomes a major bottleneck in suppressing the development of large-scale MIMO.It is difficult to completely eliminate the interference in a large-scale MIMO system.In order to reduce the interference on the TDD downlink transmission performance degradation,we first in-depth understanding of the system interference,comparative analysis of the advantages and disadvantages of the mainstream interference suppression algorithm based on statistics of system interference Characteristics,a linear precoding algorithm is proposed.In the presence of system interference,we derive the Signal to Leakage and Noise Ratio(SLNR)in the downlink of a large-scale MIMO system and then maximize the average SLNR of users.Finally,MIMO interference in the precoding matrix,a precoding matrix-based interference suppression strategy is proposed.In order to complete the simulation of the algorithm,the development history and background of wireless communication and MIMO channel are briefly described.Based on the basic theory of wireless channel,the modeling methods of two channel models(WINNERII model and Kronecker model)are analyzed.The advantages and disadvantages of the two models are compared and their codes are rewritten so that they can simulate large-scale MIMO.The validity of the simulation platform is verified from two indicators of channel capacity and bit error rate.Finally,the constructed platform is used Simulation,to achieve the algorithm proposed in this paper,and compared with the traditional interference suppression MIMO system performance analysis.