Performance Analysis Of Multi-User Massive Mimo Precoding Techniques At Millimeter Wave Frequency Bands

Abstract

Millimeter Wave (Mm-Wave) And Massive Multiple Input Multiple Outputs (MIMO) Systems Are The Two Key Enabling Technology Of 5G And Beyond . These Technologies Use Large An Tennas System Within Short-Range Wavelength And High-Frequency Bands. The Mm-Wave Fre Quency Bands Are Easily Susceptible To Path Loss And Inter-User Interference. In This Thesis, The Performance Of Large Downlink Multiple Input Multiple Output Systems Using Precoding Techniques Such As Maximum Ratio Transmission (MRT), Zero-Forcing (ZF), Regularized Zero-Forcing (RZF), Dirty Paper Coding (DPC), Lower Order Truncated Polynomial Ex Pansion (LTPE) And Lower Order Truncated Polynomial Expansion-Dirty Paper Coding (LTPE-DPC) Are Evaluated And Compared. The Main Objectives Of Linear Precoding Are To Cancel Interference Between User Terminals And Mitigate Noise Amplification, Improve Spec Tral Efficiency And Energy Efficiency, And Also Optimize The Transmission Of Signals From The Base Station To The User Terminals. In This Thesis Work We Evaluated The Spectral Efficiency , Sum Rate , And Energy Efficiency Of Proposed LTPE-DPC. As The Simulation Results Show The Proposed LTPE-DPC Precoder Has Bettr Performance Than The Exsiting Precoder ZF, RZF, LTPE, AND DPC And LTPE-DPC, Has Been Evaluated Sum Rate At SNR Levels Of -5db, 5db, 10db, And 15db Respectively