Multiplex technique of data transmission in residual class systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.292504

Keywords:

timer signal structures, algorithms, systems of residual classes, multiplexing, coding, optical transmission systems

Abstract

The research object: data transmission in optical communication lines. The subject of research is algorithms for the construction of digital data and methods of their transmission over buses in optical computer systems and in backbone fiber-optic systems.

The problem to be solved is the need to devise new methods that ensure increased reliability and cryptographic stability of optical transmission systems. To solve the task, the issue of expanding the theory of timer signal structures and the system of residual classes for the organization of multifactorial multiplex data transmission through the channels of modern information transmission systems was investigated. The factor space is defined (as an example) for fiber optic transmission systems where different multiplexing options are used or may be used.

The possibility of adapting algorithms for the construction of digital signal structures for their further transmission in the system of residual classes by various methods of multiplexing has been substantiated. The main principles of transmission were considered: the principle of independence of multiplexing the transmission of residues on each module and the principle of logical dependence and physical independence of the system of channels for transmission of residue values for a specific module of a specific system of residue classes.

The basic principle is that at each specific point in time in the multivariate binary space, only one of the possible values of each factor can be equal to unity. A comparison with existing transmission systems shows that the proposed technique could provide data transmission at a speed of up to 16 Tbit/s in a transmission bandwidth of 200 THz. At the same time, the capacity of the alphabet of transmitted characters will be 39468 different characters. It also provides a significant increase in the reliability of the entire transmission system

Author Biographies

Denys Bahachuk, State University of Intelligent Technologies and Telecommunications

PhD, Associate Professor

Department of Software Engineering

Matin Hadzhyiev, State University of Intelligent Technologies and Telecommunications

Doctor of Technical Sciences, Professor

Department of Software Engineering

Aleksandr Nazarenko, State University of Intelligent Technologies and Telecommunications

PhD, Associate Professor

Department of Cyber Security and Technical Information Protection

Nick Odegov, State University of Intelligent Technologies and Telecommunications

PhD, Associate Professor

Department of Software Engineering

Dmytro Stepanov, State University of Intelligent Technologies and Telecommunications

PhD, Associate Professor

Department of Switching Systems of Electronic Communications

References

  1. Zhang, H., Ouyang, S., Jiang, J., Wang, S., Wang, Y. (2023). Research on address calibration technology for ternary optical computer decoder. Optik, 293, 171263. doi: https://doi.org/10.1016/j.ijleo.2023.171263
  2. Song, K., Wang, Z., Zhu, J., Yan, L. (2022). Research and application of error correction theory for ternary optical computer based on Hamming code. Optik, 267, 169647. doi: https://doi.org/10.1016/j.ijleo.2022.169647
  3. Kosianchuk, M. M. (2019). Doskonala forma systemy zalyshkovykh klasiv. Ternopil: TNEU, 224.
  4. Romanovski, V. G., Prešern, M. (2011). An approach to solving systems of polynomials via modular arithmetics with applications. Journal of Computational and Applied Mathematics, 236 (2), 196–208. doi: https://doi.org/10.1016/j.cam.2011.06.018
  5. Valueva, M. V., Nagornov, N. N., Lyakhov, P. A., Valuev, G. V., Chervyakov, N. I. (2020). Application of the residue number system to reduce hardware costs of the convolutional neural network implementation. Mathematics and Computers in Simulation, 177, 232–243. doi: https://doi.org/10.1016/j.matcom.2020.04.031
  6. Sudeepa, K. B., Aithal, G. (2017). Generation of maximum length non-binary key sequence and its application for stream cipher based on residue number system. Journal of Computational Science, 21, 379–386. doi: https://doi.org/10.1016/j.jocs.2016.10.006
  7. Yatskiv, V. V. (2010). Metod pidvyshchennia nadiinosti peredachi danykh u bezprovidnykh sensornykh merezhakh na osnovi systemy zalyshkovykh klasiv. Radyoelektronyka y ynformatyka, 2, 30–33.
  8. Zakharchenko, M. V., Kildishev, V. Y., Martynova, O. M., Ilin, D. Yu., Trintina, N. A. (2014). Systemy peredavannia danykh. Vol. 1: Efektyvnist blokovoho koduvannia. Odesa: ONAZ im. O.S. Popova, 440.
  9. Zakharchenko, N. V., Hajiyev, M. М., Salmanov, N. S., Golev, D. V., Sedov, K. S. (2020). Coding efficiency in residual class systems. Proceedings of the O.S. Popov ОNAT, 1 (2), 25–30. doi: https://doi.org/10.33243/2518-7139-2020-1-2-25-30
  10. Zaharchenko, M., Hadzhyiev, M., Nazarenko, A., Salmanov, N., Shvets, N. (2022). Comparison of Positional and Timer Coding in the System of Residual Classes. 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET). Lviv-Slavske, 414–418. doi: https://doi.org/10.1109/tcset55632.2022.9766866
  11. Odegov, N., Tatarnytska, I. (2021). Method of calculating the optical fiber geometric parameters with multiple cores. Problemi Telekomunìkacìj, 1 (28), 20–35. doi: https://doi.org/10.30837/pt.2021.1.02
  12. G.694.1. Spectral grids for WDM applications: DWDM frequency grid (2012). ITU-Т Recommendation, 9.
  13. Zhang, D., Tan, Z. (2023). Time-stretch optical neural network with time-division multiplexing. Optical Fiber Technology, 80, 103438. doi: https://doi.org/10.1016/j.yofte.2023.103438
  14. Yeh, C.-H., Chang, Y.-J., Chow, C.-W., Lin, W.-P. (2019). Utilizing polarization-multiplexing for free space optical communication transmission with security operation. Optical Fiber Technology, 52, 101992. doi: https://doi.org/10.1016/j.yofte.2019.101992
  15. Korchinskyi, V., Hadzhyiev, M., Pozdniakov, P., Kildishev, V., Hordiichuk, V. (2018). Development of the procedure for forming non­stationary signal structures based on multicomponent LFM signals. Eastern-European Journal of Enterprise Technologies, 6 (9 (96)), 29–37. doi: https://doi.org/10.15587/1729-4061.2018.151816
  16. Govind, A. (2019). Nonlinear Fiber Optics. Elsevier Science. doi: https://doi.org/10.1016/c2018-0-01168-8
Multiplex technique of data transmission in residual class systems

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Published

2023-12-21

How to Cite

Bahachuk, D., Hadzhyiev, M., Nazarenko, A., Odegov, N., & Stepanov, D. (2023). Multiplex technique of data transmission in residual class systems. Eastern-European Journal of Enterprise Technologies, 6(9 (126), 23–31. https://doi.org/10.15587/1729-4061.2023.292504

Issue

Section

Information and controlling system