MODEL OF INTERACTIONS AND PHASE STATES IN THE DISTRIBUTION OF THE FREQUENCY RESOURCE IN THE GROUPING OF RADIO ELECTRONIC MEANS OF A 5G MOBILE COMMUNICATION NETWORK

Authors

DOI:

https://doi.org/10.30837/ITSSI.2021.16.089

Keywords:

dynamic model, multiple interactions, electromagnetic environment, resource allocation, frequency allocation

Abstract

Subject: interaction models and phase states in the distribution of the frequency resource in the grouping of radio electronic means of the 5G mobile communication network. Purpose: development of a dynamic model of multiple interactions of n-elements of a complex 5G mobile communication system, which takes into account the nature of inter-element connections and phase states in the group use of the frequency resource. Tasks: on the basis of a complex model of an n-element system with multiple interactions, to develop a mathematical model for describing the electromagnetic environment of a grouping of radio electronic means in a state space with a group use of a frequency resource; to analyze the phase states of interaction of the elements of the grouping system of radio-electronic means of the mobile communication system in which they can function without deteriorating the quality indicators, which reflect the total level of the group influence of the emitting elements on the receiving devices, under conditions of optimal distribution of the frequency resource. Methods: mathematical method of the state space of the system, which describes the nonlinear nature and phase states of the system, taking into account the intensity of the interaction of its elements. Results: A mathematical model of the electromagnetic environment of a grouping of radio-electronic devices based on the Volterra model has been developed, which characterizes their nonlinear nature of interactions in the group use of the frequency resource. A recurrent expression is obtained for modeling the assessment of the aggregate nature of electromagnetic interactions in a group of radio-electronic means. Modeling of the dynamics of interaction and phase states of the grouping of radioelectronic devices in the group use of the frequency resource has been carried out. Conclusions: It is shown that using a model that simulates the dynamics of interactions of a group of radioelectronic, it is possible to analyze its state in the future. This model makes it possible to analyze the grouping of radio-electronic means with different, specific parameters of individual types of radio electronic devices, the nature and intensity of their interaction in the grouping with the current distribution of resources.

Author Biographies

Konstantyn Sielivanov, Kharkiv National University of Radio Electronics

Postgraduate V. V. Popovskyy Department of Infocommunication Egineering

Bohdan Muliar, Kharkiv National University of Radio Electronics

Postgraduate V. V. Popovskyy Department of Infocommunication Egineering

Yulia Kolyadenko, Kharkiv National University of Radio Electronics

Doctor of Sciences (Engineering), Professor, Professor of V. V. Popovskyy Department of Infocommunication Egineering

Mykola Moskalets, Kharkiv National University of Radio Electronics

Doctor of Sciences (Engineering), Professor, Professor of V. V. Popovskyy Department of Infocommunication Egineering

References

3GPP TR 22.891, "Feasibility Study on New Services and Markets Technology Enablers," Ver. 14.2.0, Sep. 2016.

3GPP TR 38.913, "Study on Scenarios and Requirements for Next Generation Access Technologies," Ver. 14.3.0, June 2017.

3GPP TS 28.554. Management and orchestration; 5G end to end Key Performance Indicators (KPI). Ver. 2.0.0, release 15, September 2018.

5G PPP Architecture Working Group white paper, "View on 5G Architecture", July 2016.

Abuarqoub, A., Hammoudeh, M. H. (2016), "Behaviour Profiling in Healthcare Applications Using the Internet of Things Technology", Proceedings of Fourth International Conference on Advances in Information Processing and Communication Technology, P. 1–4. DOI: https://doi.org/10.15224/978-1-63248-099-6-25

Agiwal, M., Roy, A., Saxena, N. (2016), "Next generation 5G wireless networks: A comprehensive survey", IEEE Communications Surveys & Tutorials, No. 18 (3), P. 1617–1655. DOI: https://doi.org/10.1109/COMST.2016.2532458

Aijaz, A., Dohler, M., Aghvami, A. H., Friderikos, V., Frodigh, M. (2017), "Realizing the Tactile Internet: Haptic Communications over Next Generation 5G Cellular Networks", IEEE Wireless Comm, No. 24 (2), Р. 82–89. DOI: https://doi.org/10.1109/MWC.2016.1500157RP

Aijaz, A., Simsek, M., Dohler M.,Fettweis, G (2017), "Shaping 5G for the Tactile Internet", 5G Mobile Communications, Springer International Publishing, P. 677–691. DOI: https://doi.org/10.1007/978-3-319-34208-5_25

Aijaz, A. (2016), "Towards 5G-enabled tactile internet: Radio resource allocation for haptic communications", In Proceedings of the 2016 IEEE Wireless Communications and Networking Conference (WCNC), Doha, Qatar, 3-6 April 2016, Р. 1–6. DOI: https://doi.org/10.1109/WCNC.2016.7564661

Raza, U., Kulkami, P., Sooriyabandara, M. (2017), "Low Power Wide Area Networks: An Overview", IEEE Communications Surveys & Tutorials, Vol. 19, P. 855–873. DOI: https://doi.org/10.1109/COMST.2017.2652320

(2016), Radio Regulations, Ed. ITU, in 4 volumes.

Resolution COM 6/20 (WRC-15) Studies on frequency-related matters for International Mobile Telecommunications identification including possible additional allocations to the mobile services on a primary basis in portion(s) of the frequency range between 24.25 and 86 GHz for the future development of International Mobile Telecommunications for 2020 and beyond.

Mokrov, E., Ponomarenko-Timofeev, A., Gudkova, I., et al. (2018), "Modeling Transmit Power Reduction for a Typical Cell with Licensed Shared Access Capabilities", IEEE Transactions on Vehicular Technology. DOI: https://doi.org/10.1109/TVT.2018.2799141

Markova, E., Gudkova, I., Ometov, A., et al. (2017), "Flexible Spectrum Management in a Smart City within Licensed Shared Access Framework", IEEE Access, Vol. 5, P. 22252–22261. DOI: https://doi.org/10.1109/ACCESS.2017.2758840

Talwar, S., Choudhury, D., Dimou, K., et al. (2014), "Enabling technologies and architectures for 5G wireless", Proceedings of IEEE MTT-S International Microwave Symposium (IMS), Tampa, FL, USA, P. 1–4. DOI: https://doi.org/10.1109/MWSYM.2014.6848639

Kurakova, T., Valdburger, M. (2013), "How ITU can help develop future networks", ITU News, No. 1, P. 38–41. DOI: https://doi.org/10.1525/aft.2013.41.3.38

Galinina, O., Andreev, S., Komarov, M., et al. (2017), "Leveraging heterogeneous device connectivity in a converged 5G-IoT ecosystem", Computer Networks, Vol. 128, P. 123–132. DOI: https://doi.org/10.1016/j.comnet.2017.04.051

Kremenetska Ya. A., Markov S. Yu., Gradoboeva N. V., Kharchenko Ye. M. (2019), "Analysis of limiting and compensating factors when calculating the energy efficiency of radio systems in the millimeter range", Telecommunication and Information Technologies, No. 1, P. 12–21. DOI: https://doi.org/10.31673/2412-4338.2019.011221

3GPP TS 38.104. NR; Base Station (BS) radio transmission and reception.

3GPP TS 38.211. NR; Physical channels and modulation.

3GPP TS 38.212. NR; Multiplexing and channel coding.

3GPP TS 38.213. NR; Physical layer procedures for control.

3GPP TS 38.300. NR; NR and NG-RAN Overall Description; Stage 2.

Yan, M., Feng, G., Zhou, J., Sun, Y., Liang, Y. -C. (2019), "Intelligent Resource Scheduling for 5G Radio Access Network Slicing", in IEEE Transactions on Vehicular Technology, Vol. 68, No. 8, P. 7691-7703. DOI: https://doi.org/10.1109/TVT.2019.2922668

Kolіadenko, Yu., Glushko, A., Voronin, O. (2018), "A mathematical model of attacks and defenses in Software-Defined Networks", Problemi telekomunìkacìj, No. 1 (22), P. 56–66. DOI: https://doi.org/10.30837/pt.2018.1.04

Published

2021-07-06

How to Cite

Sielivanov, K., Muliar, B., Kolyadenko, Y., & Moskalets, M. (2021). MODEL OF INTERACTIONS AND PHASE STATES IN THE DISTRIBUTION OF THE FREQUENCY RESOURCE IN THE GROUPING OF RADIO ELECTRONIC MEANS OF A 5G MOBILE COMMUNICATION NETWORK. INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, (2 (16), 89–97. https://doi.org/10.30837/ITSSI.2021.16.089

Issue

Section

ELECTRONICS, TELECOMMUNICATION SYSTEMS & COMPUTER NETWORKS