IMPLEMENTATION OF INTERFERENCE MINIMIZATION ALGORITHM ALONG WITH BLOCK DIAGONALIZATION FOR 8X8 MU-MIMO SYSTEMS DOWNLINK WITH A FIXED-COMPLEXITY SPHERE DECODER

Project Code :TMMACO125

Objective

This study presents a hardware-friendly interference mitigation technique with FSD for improved DL MU-MIMO systems, achieving significant performance enhancements.

Abstract

In this work, a fixed-complexity sphere decoder (FSD) and an interference mitigation technique are presented for downlink (DL) multiuser (MU) multiple-input multiple-output (MIMO) systems. To lessen the impact of inter-user interference on performance in DL MU-MIMO systems, an optimized interference mitigation technique that is hardware-friendly is offered. The proposed approach performs 0.5 dB near-optimally for the soft-output choice, which is 4 dB better than the existing interference whitening filter. In this study, the proposed interference mitigation technique is applied to both hard and soft-output FSD detectors to provide 8X8 antenna MIMO detection and interference mitigation for 4 additional streams. And also Block Diagonalization (BD) technique for minimizing the interference and ber to an even deeper levels. A fully pipelined architecture supports 3.6 Gbps @ 150 MHz for signals modulated by 64-QAM. The synthesis result shows that the intended symbol detector has a gate count of 887 K for the FSD without a pre-processor and a gate count of 1220 K for interference mitigation. When compared to previously deployed MIMO detectors, the proposed architecture for DL MU-MIMO systems shows promise in terms of a significant improvement in performance with respect to inter-user interference.

Keywords: Fixed-Complexity Sphere Decoder (FSD), Block Diagonalization (BD), MIMO Detection, 8X8 Antenna MU-MIMO, Multiuser Multi-Input Multi-Output (MU-MIMO).

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software: Matlab 2020a or above

Hardware:

Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space

RAM:

Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

·         Introduction to Matlab

·         What is EISPACK & LINPACK

·         How to start with MATLAB

·         About Matlab language

·         Matlab coding skills

·         About tools & libraries

·         Application Program Interface in Matlab

·         About Matlab desktop

·         How to use Matlab editor to create M-Files

·         Features of Matlab

·         Basics on Matlab

·         What is Communication?

·         About Communication

·         Introduction to Communication

·         How Communication Works?

·         Importing the System Design, Characterization and Visualization

·         Analyzing of BER tool

·         Analyzing of Error Rate Test Console

·         Generation of WSN

·         WSN network creation

·         Nodes Communication

·         Clustering

·         Routing

·         Convolutional

·         Equalization and Synchronization etc.,

·         How to extend our work to another real time applications

·         Project development Skills

               o    Problem analyzing skills

               o    Problem solving skills

               o    Creativity and imaginary skills

               o    Programming skills

               o    Deployment

               o    Testing skills

               o    Debugging skills

               o    Project presentation skills

               o    Thesis writing skills

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