Simulation of Precoding Techniques for Multiuser MIMO Systems

Simulation of precoding techniques for multiuser MIMO systems, focusing on bit error rate and channel capacity based on signal-to-leakage-and-noise ratio (SLNR) criterion and its enhanced algorithms. This research includes original references and comparative simulation plots comparing zero-forcing precoding, single-user precoding, and SLNR-based algorithms. Complete with detailed implementation code and comprehensive documentation from an outstanding graduation project.

SLNR-Based Precoding Implementation

In multiuser MIMO systems, SLNR-based precoding significantly improves system performance by simultaneously mitigating co-channel interference (CCI) and noise through optimized signal processing algorithms.

Power Allocation Strategies in Multi-User MIMO Systems with Implementation Examples

This code demonstrates power allocation strategies in multi-user MIMO systems, including water-filling algorithm and equal power allocation method, with corresponding channel capacity calculations and MATLAB implementation details.

Multi-User MIMO System Implementation Code

This codebase provides comprehensive implementation for multi-user MIMO systems, featuring optimized algorithms for enhanced data rates and signal quality.