Adaptive Precoders For Down Link Massive Mimo System

Abstract

The Number Of Users And Applications Is Increasing Rapidly Which Is Also Facilitating There search And Development In Wireless Technology. Ideally, Wireless Communications Can simultaneously Have A Fast Data Rate And Connection Efficiency. Future Generation Wireless communication Will Have To Deal With Some Core Requirements Of Simultaneously Serving large Number Users, Upholding High Throughput For Each User, Assuring Less Energy consumption, Etc. In Practice, The Inter-User Interference Arises When More Users Access The wireless Link Which Requires Complicated Transmission Techniques Such As Interference cancellation, To Maintain A Given Desired Quality Of service. A Massive MIMO With Very Large antenna Arrays Is Proposed To Overcome Inter-User Interference Problem. Massive MIMO Is one Of These Promising Technologies Which Have Introduced The Concept Of Using Hundreds or Thousands Of Antennas At The Base Station And Serving Tens Or Hundreds Of Users simultaneously. A Massive Number Of Antennas Will Help To Concentrate The Radiated Energy into Smaller Region Hence Will Improve The Throughput And Energy Efficiency Of The System. In This Thesis, The Performance Of A Massive MIMO System Has Been Investigated By Utilizing adaptive Pre-Coding Techniques Like Linear And Nonlinear ZF And DPC. The Results Finally show That Massive MIMO Becomes More Energy And Spectral Efficient In Applying Adaptive recoding Technique Than Ordinary Beam forming Techniques Which Have Been Used By LTE.