Zero-Forcing + Serial Interference Cancellation + Adaptive Power Allocation Precoding Algorithm for MIMO Multipath Rayleigh Channels

Resource Overview

Simulation chain (Simulink + M-files) for Zero-Forcing, Serial Interference Cancellation, and Adaptive Power Allocation Precoding Algorithm in MIMO Multipath Rayleigh Channels

Detailed Documentation

This paper presents a simulation chain for Zero-Forcing, Serial Interference Cancellation, and Adaptive Power Allocation Precoding algorithms in MIMO multipath Rayleigh channels. The implementation utilizes both Simulink blocks and MATLAB M-files to validate the algorithm's feasibility through comprehensive simulations. In MIMO systems, signals experience multiple reflections and interference due to multipath propagation, leading to signal attenuation and distortion. To address these challenges, we implement Zero-Forcing precoding to eliminate inter-symbol interference, combined with Serial Interference Cancellation that sequentially removes dominant interferers using iterative detection techniques. The algorithm further incorporates Adaptive Power Allocation that dynamically optimizes transmission power across antennas based on channel state information, maximizing signal-to-interference-plus-noise ratio (SINR). The Simulink implementation models channel characteristics using Rayleigh fading blocks, while M-files handle algorithm computations including matrix inversion for Zero-Forcing, successive interference cancellation loops, and water-filling power allocation algorithms. Through this integrated approach, the system effectively mitigates multipath effects, significantly enhancing communication reliability and overall system performance under challenging channel conditions.