Исследование помехоустойчивости сигнально-кодовых конструкций при различных моделях каналов
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Investigation of the noise immunity of signal-code constructions in various channel models

idVu T., idGlushankov E.

UDC 621.391.26
DOI: 10.26102/2310-6018/2025.51.4.061

  • Abstract
  • List of references
  • About authors

The increasing demands for throughput and reliability in modern wireless communication systems necessitate effective methods of error-control coding and multi-level modulation. Signal-code constructions, particularly trellis-coded modulation and bit-interleaved coded modulation, are fundamental approaches for solving this task. This paper presents an analysis of the performance and quality of the specified constructions, carried out through simulation in the MATLAB environment. The study covers a wide spectrum of channel models: from the additive white Gaussian noise channel to channels with Rayleigh and Rician fading, featuring both flat and frequency-selective characteristics. In the context of analyzing signal-code constructions of the bit-interleaved coded modulation type, the role and quantitative effectiveness of various interleaver types are investigated in detail. The obtained results not only define the performance limits of each scheme but also form a basis for the future development of methods for their improvement. The simulation results show the high efficiency of both types of signal-code constructions in the flat Rician channel and, furthermore, confirm the key role and performance differences of interleavers in enhancing overall noise immunity under channel fading conditions.

1. Shannon C.E. A Mathematical Theory of Communication. The Bell System Technical Journal. 1948;27(3):379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x

2. Ungerboeck G. Channel Coding with Multilevel/Phase Signals. IEEE Transactions on Information Theory. 1982;28(1):55–67. https://doi.org/10.1109/TIT.1982.1056454

3. Le Goff S.Y. Signal Constellations for Bit-Interleaved Coded Modulation. IEEE Transactions on Information Theory. 2003;49(1):307–313. https://doi.org/10.1109/TIT.2002.806152

4. Glushankov E.I., Eliseev N.K. Analysis of Signals' Energy and Spectral Efficiency in Radio Channels with Fading. Radio Engineering and Telecommunication Systems. 2025;(2):5–13. (In Russ.). https://doi.org/10.24412/2221-2574-2025-2-5-13

5. Sklar B. Digital Communications. Fundamentals and Applications. Moscow: Izdatel'skii dom "Vil'yams"; 2003. 1104 p. (In Russ.).

6. Jiang Y., Varanasi M.K., Li J. Performance Analysis of ZF and MMSE Equalizers for MIMO Systems: An In-Depth Study of the High SNR Regime. IEEE Transactions on Information Theory. 2011;57(4):2008–2026. https://doi.org/10.1109/TIT.2011.2112070

7. Proakis J.G. Digital Communications. New York: McGraw-Hill; 2001. 1002 p.

8. Barinov A.Y. Interleaving in Channel Coding: Properties, Structure, Applications. Journal of Radio Electronics. 2019;(1). (In Russ.). https://doi.org/10.30898/1684-1719.2019.1.13

9. Kolobkov A.V., Khiteva D.V. Type Selection of Internal Interleaver for Convolutional Turbocode (13,15)8. Radio Engineering and Telecommunication Systems. 2024;(2):15–25. (In Russ.). https://doi.org/10.24412/2221-2574-2024-2-15-25

10. Radzhabov H.M., Radzhabov U.M., Polushin P.A., Nikitin O.R. Convolutional Code Decoding Amid Symbol Interlacing. Radio Engineering and Telecommunication Systems. 2018;(3):46–53. (In Russ.).

Vu The Duyet

Email: vu.tz@sut.ru

ORCID |

The Bonch-Bruevich Saint-Petersburg State University of Telecommunications

Saint Petersburg, Russian Federation

Glushankov Evgenii
Doctor of Engineering Sciences, Professor

Scopus | ORCID | eLibrary |

The Bonch-Bruevich Saint-Petersburg State University of Telecommunications

Saint Petersburg, Russian Federation

Keywords: signal-code constructions, trellis-coded modulation, bit-interleaved coded modulation, interleaver, MATLAB

For citation: Vu T., Glushankov E. Investigation of the noise immunity of signal-code constructions in various channel models. Modeling, Optimization and Information Technology. 2025;13(4). URL: https://moitvivt.ru/ru/journal/pdf?id=2116 DOI: 10.26102/2310-6018/2025.51.4.061 (In Russ).

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Full text in PDF

Received 31.10.2025

Revised 15.12.2025

Accepted 22.12.2025