Methods of data compression and precoding in 5G networks

Recieved: 01/28/2025

Accepted: 02/10/2025

Keywords: 5G NR, MIMO, CSI, Beamforming, data compression, base station, antenna array, discrete Fourier transform, discrete wavelet transform, singular value decomposition

To cite this article

Piskovsky V.O., Lysenko D. Methods of data compression and precoding in 5G networks. // Moscow University Journal. Series 15. Computational Mathematics and Cybernetics. 2025. N 3, p.53-61 https://doi.org/10.55959/MSU/0137–0782–15–2025–49–3–53–61.

This work is licensed under a Сreative Commons Atribiution - NonCommercial 4.0 International (CC BY-NC 4.0)

Piskovsky V.O. (Lomonosov Moscow State University (MSU))
Lysenko D. (Lomonosov Moscow State University (MSU))

Abstract

5G NR communication systems use antenna arrays for directional transmission and reception, which in turn contributes to increased communication performance and efficiency. For duplex systems with frequency division of channels, feedback about the channel status is important. The code page for the configuration of the base station’s antenna array and the antenna ports of the client device is selected through the exchange of reports. The essence of the work is to optimize the exchange procedure, apply and study data compression methods.