Iterative Regularized Zero-Forcing Precoding Enhances Massive MIMO Performance

Iterative Regularized Zero-Forcing Precoding Enhances Massive MIMO Performance

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This announcement presents an iterative regularized zero-forcing (IRZF) precoding method designed to improve massive MIMO communication systems. The new approach replaces the computationally expensive direct matrix inversion in conventional regularized zero-forcing precoding with a low-complexity Richardson-type iterative algorithm, aiming to maintain interference suppression and noise control while reducing processing demands.

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PRISM scored this story 60/100 for interest.

Originally published by gnews