M. Odintsov, Yu. Shinakov,
Institute of Radio and Information Systems (IRIS), Vienna, Austria

DOI: 10.36724/2664-066X-2023-9-3-35-40

SYNCHROINFO JOURNAL. Volume 9, Number 3 (2023). P. 35-40.


Currently, there is an active development of wireless data transmission systems. A solution widely used in improving existing and creating new wireless communication technologies, which allows increasing spectral efficiency and transmission speed, is the use of systems with Multiple-Input-Multiple-Output, MIMO. In this regard, research into the potential capabilities of MIMO systems under various operating conditions is an urgent task. In particular, the issue of the influence of the correlation of transmission matrix elements on the efficiency of the communication system is important. We will further consider cases of multipath propagation typical for urban conditions. We will also consider the signals transmitted by different antennas to be narrowband and independent of each other. For the two currently most commonly used MIMO radio channel models, the influence of the correlation between the elements of the transmission channel matrix on the efficiency of the MIMO system was studied using statistical tests. Dependences of the error probability per bit of transmitted information on the signal-to-noise ratio were obtained for channels with transmission matrices whose covariance matrices have varying degrees of difference from the diagonal (unit) matrix. When generating channel matrices with correlated elements, the unstructured (general correlation) model and the Kronecker model are used.

Keywords MIMO, Transmission Channel Matrix, Monte Carlo Method


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