RESEARCH AND ANALYSIS MATHEMATICAL MODEL OF THE DEMODULATOR FOR ASSESSING THE INDICATORS NOISE IMMUNITY TELECOMMUNICATION SYSTEMS
Article Sidebar
Main Article Content
Abstract
The noise immunity indicators of the functioning telecommunication systems in the presence interference sources are analyzed based on the architectural concept of the next and future networks. The object study is the optimal demodulator signal receiver with matched filters. The relevance of this area research is shown. Based on a study algorithms for the operation of a demodulator with matched filters, a new approach to constructing a mathematical model for assessing the noise immunity characteristics receiving traffic messages is proposed. The developed mathematical model takes into account the demodulator synthesis algorithm, effective modulation and coding methods in the detector receiver. The subject of the research is a mathematical model for assessing the noise immunity indicators of the functioning multiservice telecommunication networks. Based on a study of the reliability of the transmission traffic messages, a block diagram of an optimal demodulator signal receiver with matched filters is proposed. The purpose of the research is to develop a new approach to create a mathematical model for assessing the characteristics communication quality and noise immunity telecommunication systems when receiving message traffic packets in a complex signal-noise environment. Based on a mathematical model for assessing the noise immunity indicators of telecommunication systems, important analytical expressions for further research were obtained. As a result of the research, the main conclusions of the study were obtained, which can be implemented and used in multi-service fixed and mobile communication networks to calculate the noise immunity indicators of public telecommunication systems. The rationale for the proposed main stages of the study is given, the results of analytical research and simulation modeling are presented, confirming the validity of the theoretical conclusions made.
Article Details
References
Proakis J.G. (2000), Digital communications, Edition 4th, Mc Graw-Hill Book Company, 936 p., available at: https://www.amazon.com/Digital-Communications-John-Proakis/dp/0072321113
Ibrahimov, B., Hashimov, E., Talibov, A., and Hasanov, A. (2022), “Research and analysis indicators fiber-optic communication lines using spectral technologies”, Advanced information systems, vol. 6, no 1, pp. 61–64, doi: https://doi.org/10.20998/2522-9052.2022.1.10
Bianco, B., Fajordo J.O., Cianonoulakis I., Kafetzakis, E., Peng, S., Pérez-Romero, J., Trajkovska, I., Khodashenas, P.S., Goratti, L., Paolino, M., Sfakianakis, E., Liberal, F. and Xilouris, G. (2017), “Technology pillars in the architecture of future 5G mobile networks: NFV, MEC and SDN”, Computer Standarts & Interfaces, vol. 54, part 4, pp. 216–228, doi: https://doi.org/10.1016/j.csi.2016.12.007
Shelukhin, O.I. (2018), Modeling of information systems, Textbook for universities. Hotline - Telecom, 516 p., available at: https://i.twirpx.link/file/754374/
Blahut. R.E. (2012), “Algebraic Codes for Data Transmission”, Cambridge University Press, 498 p., available at: https://catdir.loc.gov/catdir/samples/cam033/2001043802.pdf
Ibrаhimov, B.G., Hasanov, A.H. and Hashimov, E.Q. (2024), “Research and analysis of efficiency indicators of critical infrastructures in the communication system”, Advanced Information Systems, vol. 8, no. 2, pp. 58–64, doi: https://doi.org/10.20998/2522-9052.2024.2.07
Kuchuk, N., Mozhaiev, O., Semenov, S., Haichenko, A., Kuchuk, H., Tiulieniev, S., Mozhaiev, M., Davydov, V., Brusakova, O. and Gnusov, Y. (2023), “Devising a method for balancing the load on a territorially distributed foggy environment”, Eastern-European Journal of Enterprise Technologies, vol. 1(4 (121), pp. 48–55, doi: https://doi.org/10.15587/1729-4061.2023.274177
Ismayılov, T. (2024), “Research of Future Generation Multiservice Telecommunication Networks Based on SDN Technology”, Engineering Headway, vol. 7, pp. 135–140, doi: https://doi.org/10.4028/p-gvd2zo
Gitlin, R.D., Hayes, J.F. and Weinstein, S.B. (1992), “Theoretical Foundations of Digital Communications”, Data Communications Principles, Springer, Boston, MA, doi: https://doi.org/10.1007/978-1-4615-3292-7_2
Ibrahimov, B. (2023), “Investigation of Noise Immunity telecommunication systems according to the criterion energy efficiency”, Transport and Telecommunication, vol. 24, is. 4, 2023. pp. 375–384, doi: https://doi.org/10.2478/TTJ-2023-0029
Kovalenko, A. and Kuchuk, H. (2022), “Methods to Manage Data in Self-healing Systems”, Studies in Systems, Decision and Control, vol. 425, pp. 113–171, doi: https://doi.org/10.1007/978-3-030-96546-4_3
Valiyev, V.M., Ibrahimov, B. G. and Alieva, A. A. (2020), “About one resource control task and optimization throughput in multiservice telecommunication networks”, T-Comm, vol. 14, no.6, pр. 48–52, doi: https://doi.org/10.36724/2072-8735-2020-14-6-48-52
Stallings, W. (2014), Data and Computer Communications, Int. publ. by pearson ed., 10-th Ed., New York, 907 p., available at: https://api.pageplace.de/preview/DT0400.9781292014395_A24576961/preview-9781292014395_A24576961.pdf
Pushkina, E.O. (2013), “BER Performance of OFDM-QAM over AWGN channel”, Infocommunication technologies, vol. 12, no. 2, pp. 59–62, available at: https://journals.eco-vector.com/2073-3909/article/view/55917
İbrahimov, B. and Ismaylov, T. (2023), “Analysis of the model hierarchical state management telecommunications systems using the logistic approach”, 2nd International Conference on Problems of Logistics, Management and Operation in the East-West Transport Corridor (PLMO 2023), 24-26 May 2023, Baku, pp. 225–229, doi: https://doi.org/10.54381/plmo2023.37
Kuchuk, N., Mozhaiev, O., Semenov, S., Haichenko, A., Kuchuk, H., Tiulieniev, S., Mozhaiev, M., Davydov, V., Brusakova, O. and Gnusov, Y. (2023), “Devising a method for balancing the load on a territorially distributed foggy environment”, Eastern-European Journal of Enterprise Technologies, vol. 1(4 (121), pp. 48–55, doi: https://doi.org/10.15587/1729-4061.2023.274177
Ibrhimov, B. G., Namazov, M., Humbatov R. T., Guliyev, M.N. and Ibrahimov, B. G. (2022), “Investigation and analysis of immunity characteristics receiving discrete messages”, Proceedings of the 8-th International Conference on Control and Optimization with Industrial Applications, vol. 2, pp. 237–239, available at: https://www.researchgate.net/ publication/366465255_investigation_and_analysis_of_immunity_characteristics_receiving_discrete_messages
Petrovska, I., Kuchuk, H. and Mozhaiev, M. (2022), Features of the distribution of computing resources in cloud systems, 2022 IEEE 4th KhPI Week on Advanced Technology, KhPI Week 2022 - Conference Proceedings, 03-07 October 2022, Code 183771, doi: https://doi.org/10.1109/KhPIWeek57572.2022.9916459
Hasanov, A. H., Hashimov, E. and Zulfugarov, B. (2023), “Comparative analysis of the efficiency of various energy storages”, Advanced Information Systems, vol. 7, no. 3, pp. 74–80, doi: https://doi.org/10.20998/2522-9052.2023.3.11
Ibrahimov B. G., Hashimov E. G., Talibov A. M. and Hasanov, A. H. (2022), “Research and analysis indicators fiber-optic communication lines using spectral technologies”, Advanced Information Systems, vol. 6, no. 1, pp. 61–64, doi:
https://doi.org/10.20998/2522-9052.2022.1.10.
Kovalenko, A., Kuchuk, H., Radchenko, V. and Poroshenko, A. (2020), “Predicting of Data Center Cluster Traffic”, 2020 IEEE International Conference on Problems of Infocommunications Science and Technology, PIC S and T 2020 – Proceedings, pp. 437–441, 9468006, doi: https://doi.org/10.1109/PICST51311.2020.9468006
Hasanov, A.H. and Hashimov, E.G. (2022), “Analysis of the effectivness of communication and automated management systems”, Current directions of development of information and communication technologies and control tools, Proc. of 12-th Int. STC, vol. 1: sect. 1–4, pp. 32–33, available at: https://nure.ua/wp-content/uploads/conf-2022-akov/telecom_2022_volume_1.pdf
Attar, H., Khosravi, M.R., Igorovich, S.S., Georgievan, K.N., and Alhihi, M. (2020), “Review and performance evaluation of FIFO, PQ, CQ, FQ, and WFQ algorithms in multimedia wireless sensor networks”, International Journal of Distributed Sensor Networks, 16(6), June 2020, doi: https://doi.org/10.1177/1550147720913233
Ibrаhimov, B., Hashimov, E.Q., Hasanov, A.H. and Mammadov, T.H. (2020), “Research throughput multiservice telecommunication networks Current directions of development of information and communication technologies and control tools, vol. 1: sect. 1–2, p. 30, available at: https://repository.kpi.kharkov.ua/items/7480fca1-0baf-421c-b4cd-37c932d26a17
Ganimat I. B., Qiyas H. E. (2021), “Analysis and Selection Performance Indicators Multiservice Communication Networks Based on the Concept NGN and FN”, Computer and information systems and technologies, Proc. of 5-th Int. STC, pp. 96–98, doi: https://doi.org/10.30837/csitic52021232904