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

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

Volodymyr Tolubko, Lubov Berkman, Evgen Gavrylko, Oleg Barabash, Olexiy Kilmeninov

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

Keywords


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

References


Kirk, D. E. (2004). Optimal control theory: An introduction. Mineola, New York: Dover, 452.

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.

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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

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.

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.

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

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

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

Tihvinskiy, V. O., Bochechka, G. S., Minov, A. V. (2014). Monetizaciya setey LTE na osnove uslug M2M. Elektrosvyaz', 6, 12–17.

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.

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

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

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


GOST Style Citations


Kirk D. E. Optimal control theory: An introduction. Mineola, New York: Dover, 2004. 452 p.

Savchenko A. S. Information-entropy approach to performance evaluation of computer networks with heterogeneous traffic // Naukovi zapysky Ukrainskoho naukovo-doslidnoho instytutu zviazku. 2014. Issue 1 (29). P. 44–50.

Tihvinskiy V. O., Bochechka G. S. Konceptual'nye aspekty sozdaniya 5G // Elektrosvyaz'. 2013. Issue 10. P. 29–33.

Key techniques for 5G wireless communications: network architecture, physical layer, and MAC layer perspectives / Ma Z., Zhang Z., Ding Z., Fan P., Li H. // Science China Information Sciences. 2015. Vol. 58, Issue 4. P. 1–20. doi: https://doi.org/10.1007/s11432-015-5293-y 

Tolubko V. B., Bercman L. N., Kozelkov S. V. Multiposition 5G technologies signal forming on high order phase difference modulation // Zviazok. 2016. Issue 4. P. 3–7.

Ultracompact 5G networks creating on many-dimensional signals base / Tolubko V. B., Berkman L. N., Kozelkov S. V., Gorokhovskyi E. P. // Zviazok. 2017. Issue 1. P. 3–7.

Avramenko V. V., Prohnenko Yu. I. Recognition of the periodic reference signal superimposed with periodic interference // Eastern-European Journal of Enterprise Technologies. 2012. Vol. 6, Issue 4 (60). P. 64–68. URL: http://journals.uran.ua/eejet/article/view/5686/5116

Memos V. A. Efficient Multimedia Transmission over Scalable IoT Architecture // International Journal of Computer Network and Information Security. 2018. Vol. 10, Issue 6. P. 27–39. doi: https://doi.org/10.5815/ijcnis.2018.06.03 

Dolinskiy R. Analysis of system with variable parameters, invariant to additive interference // Eastern-European Journal of Enterprise Technologies. 2015. Vol. 4, Issue 4 (76). P. 20–24. doi: https://doi.org/10.15587/1729-4061.2015.47729 

Tihvinskiy V. O., Bochechka G. S., Minov A. V. Monetizaciya setey LTE na osnove uslug M2M // Elektrosvyaz'. 2014. Issue 6. P. 12–17.

Adapting power in OFDM systems based on speed variation in time-varying channels / Dong Z., Fan P., Panayirci E., Lei X. // IEEE Communications Letters. 2015. Vol. 19, Issue 4. P. 689–692.

Filippenko I. G., Filippenko I. O. Multilevel direct and backward transformation of discrete signals // Eastern-European Journal of Enterprise Technologies. 2010. Vol. 4, Issue 3 (46). P. 29–32. URL: http://journals.uran.ua/eejet/article/view/2942/2745

Filippenko I. G., Filippenko I. O. Multilevel method of resampling the discrete signals // Eastern-European Journal of Enterprise Technologies. 2010. Vol. 5, Issue 3 (47). P. 35–40. URL: http://journals.uran.ua/eejet/article/view/3099/2902

Reddy Y. B., Gajendar N. Evolutionary Approach for Efficient Resource Allocation in Multi-User OFDM Systems // Journal of Communications. 2007. Vol. 2, Issue 5. doi: https://doi.org/10.4304/jcm.2.5.42-48 






Copyright (c) 2018 Volodymyr Tolubko, Lubov Berkman, Evgen Gavrylko, Oleg Barabash, Olexiy Kilmeninov

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ISSN (print) 1729-3774, ISSN (on-line) 1729-4061