Performance Evaluation of the MU-MIMO Precoding Using the QuaDRiGa Channel Model
https://doi.org/10.31854/1813-324X-2022-8-1-41-47
Abstract
The article presents the analysis of characteristics of algorithms of signal precoding in a multi-antenna system with many users (MU-MIMO). This paper presents the numerical evaluation of the multiuser MIMO beamforming algorithms ZF and DFT codebook based on a QUADRIGA channel model, taking into account the real conditions of signal propagation. The generated channels are used to calculate SINR and the spectral efficiency values of each user using the conventional ZF and DFT beamforming codebook. The eigenvalues of the MIMO channel are important in evaluating the MU-MIMO transmission performance characteristics, such as the spectral efficiency of a precoded system. The obtained performance of MU-MIMO ZF and DFT codebook-based beamforming in spatially correlated channels are compared based on the empirical cumulative density function of the sum rate of multiple users. Spatial correlation degrades capacity performance, and in the channels, the DFT precoder has a more robust performance and outperforms the ZF precoder in spectral efficiency. Obtained results can be used by the algorithm evaluation in the system-level simulations.
About the Authors
A. Kalachikov
Siberian State University of Telecommunications and Information Science
Russian Federation
Russian Federation
Novosibirsk, 630102
R. Bezgodkin
Siberian State University of Telecommunications and Information Science
Russian Federation
Russian Federation
Novosibirsk, 630102
I. Petrov
Siberian State University of Telecommunications and Information Science
Russian Federation
Russian Federation
Novosibirsk, 630102
A. Vinnikov
Siberian State University of Telecommunications and Information Science
Russian Federation
Russian Federation
Novosibirsk, 630102
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Review
For citations:
Kalachikov A., Bezgodkin R., Petrov I., Vinnikov A. Performance Evaluation of the MU-MIMO Precoding Using the QuaDRiGa Channel Model. Proceedings of Telecommunication Universities. 2022;8(1):41-47. (In Russ.) https://doi.org/10.31854/1813-324X-2022-8-1-41-47
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