Intellektual'nye Sistemy.
Teoriya i Prilozheniya
(Intelligent Systems.
Theory and Applications)

Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users

Abstract

Modern cellular networks utilize massive MIMO technology with multiple antennas. This work investigates the adaptive regularized Zero-Forsing method employing special regularization based on SVD. We conduct theoretical analysis, performance evaluation, and comparison with other methods through simulations using the Quadriga channel model.

Keywords: Telecommunications, MIMO, optimization, singular value decomposition (SVD), signal-to-interference-and-noise ratio (SINR), spectral eficiency.

BibTeX
@article{IS-Bobrov-Minenkov-Yudakov2025,
  author  = {Bobrov, Evgeny Aleksandrovich and Minenkov, Dmitry Sergeevich and Yudakov, Daniil Andreevich},
  title   = {{Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users}},
  journal = {Intelligent Systems. Theory and Applications},
  year    = {2025},
  volume  = {29},
  number  = {3},
  pages   = {78--118},
}
AMSBIB
\Bibitem{IS-Bobrov-Minenkov-Yudakov2025}
\by E.\,A.~Bobrov, D.\,S.~Minenkov, D.\,A.~Yudakov
\paper Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users
\jour Intelligent Systems. Theory and Applications
\yr 2025
\vol 29
\issue 3
\pages 78--118
\lang In Russian
Published under Creative Commons Attribution 4.0 International (CC BY 4.0)

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