Enhancing performance of massive MIMO communication systems using iterative regularized zero-forcing precoding
Researchers have developed an iterative regularized zero-forcing (IRZF) precoding method to improve the efficiency of massive MIMO communication systems. This new algorithm reduces computational complexity compared to traditional matrix inversion methods while maintaining high performance.
Why it matters
This research provides a technical solution to optimize 5G and future cellular network performance, directly impacting data speeds and energy efficiency.
Scientific Reports ( 2026 ) Cite this article
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
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