Real-time optimization of 5G based on MIMO detection algorithm

Multiple Input Multiple Output (MIMO) application is a key technology for 5G, which can improve the spectrum efficiency greatly, channel capacity and data transmission efficiency of the system without increasing the Output power and system bandwidth.Channel detection algorithm is a key application in MIMO.The communication quality of system is determined by the performance of sampling module largely.In this article, the Zero Forcing (ZF) sampling algorithm and Minimum Mean Square Error (MMSE) sampling algorithm are compared by MATLAB firstly, and the conclusion that the MMSE sampling algorithm may have better performance is obtained.Secondly, the C program implementation process of MMSE sampling algorithm is designed, and the 256-bit Intel single-instruction multi-data instruction set is used for algorithm optimization based on its C program, in order to realize the real-time optimization of MIMO sampling algorithm.