Two Classical Distributed Algorithms in Interference Alignment: Max_SINR vs Min_MLI
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In this article, we explore interference alignment and compare two classical distributed algorithms: Max_SINR and Min_MLI. The Max_SINR algorithm optimizes system performance by maximizing the Signal-to-Interference-plus-Noise Ratio through iterative precoder and receiver filter design. Meanwhile, the Min_MLI algorithm enhances system reliability by minimizing interference leakage using interference covariance matrix optimization. Our MATLAB implementation demonstrates both algorithms' convergence behavior and performance metrics through Monte Carlo simulations. The code structure includes key functions for channel initialization, interference calculation, and iterative optimization loops. Through detailed result analysis and BER/SINR performance comparisons, readers will gain practical understanding of distributed algorithm implementation and interference management techniques in multi-user communication systems.
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