Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users
Received: 25 Mar 2026
Published: 2025, vol. 29, issue 3, pp. 78–118
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)
Русский