Performance Analysis And Comparison For The Precoding Algorithms Of Massive MIMO

With the rapid development of wireless communication technology,people introduced the technical named “MIMO” for making the data transmission rate and reliability of the communication higher in the recent several broadband wireless communication protocols.MIMO can make the channel capacity of wireless communication increase several times over while the total power and signal transmission bandwidth stay the same.Moreover,the diversity characteristic of MIMO can improve the receiver performance after the wireless signal going through the fading channel.Hence,the research and application of MIMO have been payed significant attention by the industry.And the technical has been incorporated into various communication protocols to enhance the system capacity of wireless mobile communication system.In the initial period,the classical model of MIMO communication system is “point to point”.Namely,the wireless communication is between two devices which are equipped with several antennas.Later,it was extended further,and was applied to the MU-MIMO(Multi-User MIMO)model gradually,where a multi-antenna base station provides service for several single-antenna users.Massive MIMO is a new technology which developed on the basis of the MIMO technology where the center base station of each cell deployed a large-scale antenna array provides service for several single-antenna users in this cell.In the system,users can decoding the signals through simple linear processing.In addition,Massive MIMO can also upgrade the orders of magnitude of the spectrum efficiency and energy efficiency.Several different kinds of methods of the downlink precoding algorithms for Massive MIMO have been proposed.We analyze and compare the performance and complexity of these algorithms after systematic investigation for all of them.And then,we verify their effectiveness by the MATLAB simulation.In this work,the Bits Error Rate(BER)performance of the Matched Filter(MF)precoding,Zero Forcing(ZF)precoding,Regularized Zero Forcing(RZF)precoding and the Minimum Mean Square Error(MMSE)precoding algorithm was contrastly analyzed;And then,the BER performance and the complexity of the two simplified algorithms recently proposed(TPE precoding and AMI precoding algorithm)and their corresponding traditional algorithm(RZF algorithm and ZF algorithm)were contrastly analyzed by simulation.At the same time,the BER performance of Constant Envelope(CE)precoding,Dirty Paper Coding(DPC)and(Tomlinson Harashima Precoding)THP precoding were still contrastly analyzed.This work can provide the way to understand the basic principle of Massive MIMO and its new precoding algorithms in more depth.And then,it will be the basis for seeking more new methods.At the same time,it can also provide the basis of analysis and judgment to the application in engineering area for the present Massive MIMO downlink precoding algorithms.