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	Throughput modeling of cellular network systems with spatial precoding</div>

Artem S. Medvedev, Viacheslav V. Ivanov

2022 , VOLUME 22, NUMBER 2 ( March-April )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Nikiforov
Vladimir O.
D.Sc., Prof.

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doi: 10.17586/2226-1494-2022-22-2-392-400

Throughput modeling of cellular network systems with spatial precoding

A. S. Medvedev, V. V. Ivanov

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Article in Russian

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Medvedev A.S., Ivanov V.V. Throughput modeling of cellular network systems with spatial precoding. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2022, vol. 22, no. 2, pp. 392–400 (in Russian). doi: 10.17586/2226-1494-2022-22-2-392-400

Abstract

The paper discusses wireless cellular radio communication systems along highways using Multiple-input Multiple-output (MIMO, multiple transmit / receive antennas) technologies, in particular spatial multiplexing and diversity reception, and also proposes a model for assessing the potential gains in a multi-antenna system from MIMO, which takes into account the multipath of the channel and the relative orientation of the antennas. The work was carried out by transferring the results of the calculated correlation matrix from stochastic channel model into the physical layer simulator of the cellular system protocol. A methodology for evaluating the performance of multi-antenna systems using spatial multiplexing for roadside cellular networks has been developed. The correlation properties of the channel between the antennas of the two roadside units (RSU), each of which has two perpendicular linearly polarized antennas and a user terminal with the same two orthogonally polarized antennas, have been investigated. A prediction scheme for the type of correlation matrix has been developed, which makes it possible to more accurately set the correlation matrix in simulators of the physical layer. The obtained results showed that for properly designed systems the throughput will be close to the throughput of low spatial correlation, and the case of high correlation proposed by the standard does not need to be modeled. It is also shown that the channels between Tx / Rx pairs that undergo similar polarization changes (the same relative spatial rotation of the antennas) will be strongly correlated, which must be taken into account when developing MIMO systems.

Keywords: MIMO, polarization, radio channel, spatial multiplexing, diversity reception

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