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Modern wireless cellular networks use massive multiple-input multiple-output 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. In this work, we propose a special kind of regularization matrix with different regularizations for different UE, using singular values of multi-antenna users. The proposed algorithm has a simple analytical formula and is provided with theoretical study. 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.
We study the uplink performance of massive multiple-input multiple-output (MIMO) when users are equipped with multiple antennas. To this end, we consider a generalized channel model that accounts for line-of-sight propagation and spatially correlated
This paper introduces a novel approach of utilizing the reconfigurable intelligent surface (RIS) for joint data modulation and signal beamforming in a multi-user downlink cellular network by leveraging the idea of backscatter communication. We presen
In the context of cell-free massive multi-input multi-output (mMIMO), zero-forcing precoding (ZFP) requires the exchange of instantaneous channel state information and precoded data symbols via a fronthaul network. It causes considerable propagation
Increasing the number of transmit and receive elements in multiple-input-multiple-output (MIMO) antenna arrays imposes a substantial increase in hardware and computational costs. We mitigate this problem by employing a reconfigurable MIMO array where
We propose a regularized zero-forcing transmit precoding (RZF-TPC) aided and distance-based adaptive coding and modulation (ACM) scheme to support aeronautical communication applications, by exploiting the high spectral efficiency of large-scale ante