Improvement And Optimization Of Channel Capacity In Large Scale MIMO System

Large scale MIMO technology can greatly improve the capacity of the system,improve the robustness of the system,reduce the transmission power,and meet the requirements of people's green communication.It is the key technology of the next generation wireless communication.At present,people's research on large-scale MIMO technology is in its infancy.There are still many problems to be solved in theory analysis and realization.This paper studies the channel capacity and detection technology of large-scale MIMO system.The main work is as follows:Firstly,the channel capacity of large scale MIMO system is studied,and the channel characteristics of the MIMO system are briefly and briefly described.It is proved that the relationship between the output antenna and the input antenna in real life is proved.Secondly,the paper studies the problem of signal detection in large-scale MIMO system,analyzes the principle and complexity of linear detection,serial interference cancellation detection and likelihood lifting search detection algorithm,and compares their performance.The research shows that,in large scale MIMO system,compared with the number of base station antennas,when the number of users is less,the simplest linear detection can be applied directly.When the proportion is large,a relatively complex likelihood lifting search algorithm can be used to obtain better detection results.Finally,the prominent feature of this paper is the theoretical analysis and performance simulation of large scale MIMO.Through simulation,the conclusion of the paper is more accurate and feasible.The future of communication by MIMO system is broad.This article provides a feasible scheme for the research of communication technology to broaden the channel logically.It analyzes the feasibility of large-scale MIMO technology in practice and the problems that may be encountered in practice.Through the analysis of the measurement method,the testing of MIMO technology is made.We have done a good job of laying a solid foundation for the future development of information society.