ИСТИНА

Modern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This involves operations with an antenna array at a base station that simultaneously serves multiple mobile devices that also use multiple antennas on their side. For this, various Beamforming and Detection techniques are used, allowing each user to receive the signal intended for him from the base station. There is an important class of linear Precoding called Regularized Zero-Forcing (RZF). In this work, we propose a special kind of regularization matrix with different regularization for different UE (Adaptive RZF), using singular values of multi-antenna users. Proposed algorithm has a simple analytical formula and is provided with theoretical study and asymptotic behavior. We also show the results in comparison with other linear Precoding algorithms on simulations with the Quadriga channel model. The proposed approach leads to a significant increase in quality with the same computation time as in the baseline methods.