Development of methods to improve noise immunity in the fifth­generation mobile networks based on multiposition signals

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.152713

Keywords:

network noise immunity, additive interference, optimal signal, quasi-deterministic interference

Abstract

We have examined technologies for building 5 G mobile networks, which should provide for the creation of ultradense networks in order to render high-quality services. A formalized statement of the problem on synthesis of the optimal signal based on conditions for relative invariance to an additive interference has been prepared. A method for the optimization of signal parameters based on a mean square criterion has been developed. We have proposed to solve the optimization problem by applying the nonlinear programming methods. It has been shown that solving this problem makes it possible to find a signal with the predefined parameters, invariant to deterministic interferences.

We have developed a method for the optimization of signal parameters based on a uniform criterion. The method is based on determining a totality of signal decomposition coefficients, at which a maximum of the module of an output signal form a demodulator, taken for all values of a random parameter, is minimal. It has been proposed to solve the problem by employing the linear programming methods. Application of this method makes it possible to improve noise immunity in a data transfer system and increase the rate of information transmission along a communication channel.

Synthesis of the optimal signal with respect to the additive interference has been performed. A given signal renders the maximum possible noise immunity to the system. We have considered a discrete difference transform that possesses a universal property of invariance relative to a wide class of interference.

It has been shown that the achievement of an absolute or a relative invariance and the expediency of applying one of the specified methods depend on the characteristics of an interference, the degree of their a priori certainty, as well as the feasibility to form a reverse communication channel. Simulation results have shown that the methods for the formation of an invariant signal, proposed in this paper, could improve a system noise immunity in the communication channel by 5‒7 dB. Introduction of the devised methods would make it possible to increase the rate of transmitted information by 30 %, provided the assigned reliability of data transfer is ensured. Enabling the invariance of an information transfer system would make it possible to build the ultradense fifth-generation networks

Author Biographies

Volodymyr Tolubko, State University of Telecommunications Solomyanska str., 7, Kyiv, Ukraine, 03110

Doctor of Technical Sciences, Professor

Department of Telecommunication Systems and Networks

Lubov Berkman, State University of Telecommunications Solomyanska str., 7, Kyiv, Ukraine, 03110

Doctor of Technical Sciences, Professor

Department of Telecommunication Systems and Networks

Evgen Gavrylko, State University of Telecommunications Solomyanska str., 7, Kyiv, Ukraine, 03110

Doctor of Technical Sciences, Senior Researcher

Department of Postgraduate and Doctoral Studies

Oleg Barabash, State University of Telecommunications Solomyanska str., 7, Kyiv, Ukraine, 03110

Doctor of Technical Sciences, Professor

Department of Mathematics

Olexiy Kilmeninov, Ivan Chernyakhovsky National Defense University of Ukraine Povitroflotsky ave., 28, Kyiv, Ukraine, 03049

PhD

Department of Communication

References

  1. Kirk, D. E. (2004). Optimal control theory: An introduction. Mineola, New York: Dover, 452.
  2. Savchenko, A. S. (2014). Information-entropy approach to performance evaluation of computer networks with heterogeneous traffic. Naukovi zapysky Ukrainskoho naukovo-doslidnoho instytutu zviazku, 1 (29), 44–50.
  3. Tihvinskiy, V. O., Bochechka, G. S. (2013). Konceptual'nye aspekty sozdaniya 5G. Elektrosvyaz', 10, 29–33.
  4. Ma, Z., Zhang, Z., Ding, Z., Fan, P., Li, H. (2015). Key techniques for 5G wireless communications: network architecture, physical layer, and MAC layer perspectives. Science China Information Sciences, 58 (4), 1–20. doi: https://doi.org/10.1007/s11432-015-5293-y
  5. Tolubko, V. B., Bercman, L. N., Kozelkov, S. V. (2016). Multiposition 5G technologies signal forming on high order phase difference modulation. Zviazok, 4, 3–7.
  6. Tolubko, V. B., Berkman, L. N., Kozelkov, S. V., Gorokhovskyi, E. P. (2017). Ultracompact 5G networks creating on many-dimensional signals base. Zviazok, 1, 3–7.
  7. Avramenko, V. V., Prohnenko, Yu. I. (2016). Recognition of the periodic reference signal superimposed with periodic interference. Eastern-European Journal of Enterprise Technologies, 6 (4 (60)), 64–68. Available at: http://journals.uran.ua/eejet/article/view/5686/5116
  8. Memos, V. A. (2018). Efficient Multimedia Transmission over Scalable IoT Architecture. International Journal of Computer Network and Information Security, 10 (6), 27–39. doi: https://doi.org/10.5815/ijcnis.2018.06.03
  9. Dolinskiy, R. (2015). Analysis of system with variable parameters, invariant to additive interference. Eastern-European Journal of Enterprise Technologies, 4 (4 (76)), 20–24. doi: https://doi.org/10.15587/1729-4061.2015.47729
  10. Tihvinskiy, V. O., Bochechka, G. S., Minov, A. V. (2014). Monetizaciya setey LTE na osnove uslug M2M. Elektrosvyaz', 6, 12–17.
  11. Dong, Z., Fan, P., Panayirci, E., Lei, X. (2015). Adapting power in OFDM systems based on speed variation in time-varying channels. IEEE Communications Letters, 19 (4), 689–692.
  12. Filippenko, I. G., Filippenko, I. O. (2010). Multilevel direct and backward transformation of discrete signals. Eastern-European Journal of Enterprise Technologies, 4 (3 (46)), 29–32. Available at: http://journals.uran.ua/eejet/article/view/2942/2745
  13. Filippenko, I. G., Filippenko, I. O. (2010). Multilevel method of resampling the discrete signals. Eastern-European Journal of Enterprise Technologies, 5 (3 (47)), 35–40. Available at: http://journals.uran.ua/eejet/article/view/3099/2902
  14. Reddy, Y. B., Gajendar, N. (2007). Evolutionary Approach for Efficient Resource Allocation in Multi-User OFDM Systems. Journal of Communications, 2 (5). doi: https://doi.org/10.4304/jcm.2.5.42-48

Downloads

Published

2018-12-29

How to Cite

Tolubko, V., Berkman, L., Gavrylko, E., Barabash, O., & Kilmeninov, O. (2018). Development of methods to improve noise immunity in the fifth­generation mobile networks based on multiposition signals. Eastern-European Journal of Enterprise Technologies, 6(9 (96), 6–16. https://doi.org/10.15587/1729-4061.2018.152713

Issue

Section

Information and controlling system