Moydunov, T., Sarimsakov, A., Omorova, S., Nychsanova, A., & Matisakov, J.
(2024).
Analysis of radio relay station control system using IT-technologies.
Machinery & Energetics,
15(4),
136-146.
https://doi.org/10.31548/machinery/4.2024.136
The study addressed the theoretical analysis of radio relay station control systems using modern information technologies. The study aimed to identify the potential for improving the performance, reliability and cost-effectiveness of such systems. The analysis investigated advanced sensor technologies, automation algorithms and monitoring techniques that could significantly reduce maintenance costs and speed up fault response. Key aspects affecting the performance of radio relay stations were considered, including the impact of climatic conditions and various operational scenarios. The importance of automation integration to improve system reliability and reduce the impact of human error was emphasised. Compliance of the proposed solutions with international radio relay standards, which simplified integration with existing networks and the possibility of future modernisation, was also highlighted. The results of the study substantiated the necessity of automation of radio relay systems and created a theoretical basis for their further development and improvement, which opened new opportunities for improving operational characteristics and increasing resistance to potential failures. The implementation of new approaches to data management and analysis was addressed, ensuring quick response to changes during operation as well as resource optimisation. These aspects provided a competitive advantage in a rapidly changing telecommunications technology environment, emphasising the importance of flexibility and adaptability of systems for efficient operation. As such, the study of the theoretical foundations of automation can be used as a basis for practical recommendations for the implementation of innovative technologies in radio relay station management
communication automation; sensor modules, machine learning, remote monitoring, reliability enhancement, economic efficiency
[1] Ainslie, S., Thompson, D., Maynard, S., & Ahmad, A. (2023). Cyber threat intelligence for decision-making in security: A review and research agenda for practice. Computers & Security, 132, article number 103352. doi: 10.1016/j.cose.2023.103352.
[2] Aliyu, A.K., Bukar, A.L., Ringim, J.G., & Musa, A. (2015) An approach to energy saving and cost of energy reduction using an improved efficient technology. Open Journal of Energy Efficiency, 4(4), 61-68. doi: 10.4236/ojee.2015.44007.
[3] Aljohani, A. (2023). Predictive analytics and machine learning for Real-Time supply chain risk mitigation and agility. Sustainability, 15(20), article number 15088. doi: 10.3390/su152015088.
[4] Álvarez, J.L., Mozo, J.D., & Durán, E. (2021). Analysis of single board architectures integrating sensors technologies. Sensors, 21(18), article number 6303. doi: 10.3390/s21186303.
[5] Appiah, I., Jiang, X., Boahen, E.K., & Owusu, E. (2023). A 5G Perspective of an SDN-based privacy-preserving scheme for IoT networks. International Journal of Communications, Network and System Sciences, 16(8), 169-190. doi: 10.4236/ijcns.2023.168012.
[6] Babak, V., Zaporozhets, A., Kuts, Y., Scherbak, L., & Eremenko, V. (2021). Application of material measure in measurements: Theoretical aspects. Studies in Systems, Decision and Control, 346, 261-269. doi: 10.1007/978-3-030-69189-9_15.
[7] Berhe, S., Maynard, M., & Khomh, F. (2023). Maintenance cost of software ecosystem updates. Procedia Computer Science, 220, 608-615. doi: 10.1016/j.procs.2023.03.077.
[8] Bondarenko, I.N., Bliznyuk, I.Yu., & Gorbenko, E.A. (2019). Microwave irregular resonant structures. Telecommunications and Radio Engineering, 78(5), 385-392. doi: 10.1615/TelecomRadEng.v78.i5.20.
[9] Gavrila, S.G., González-Tejero, C.B., Gandía, J.A.G., & De Lucas Ancillo, A. (2023) The impact of automation and optimization on customer experience: A consumer perspective. Humanities and Social Sciences Communications, 10, article number 877. doi: 10.1057/s41599-023-02389-0.
[10] Hula, V., & Hryha, V. (2024). Analysis of the current state of the art of sensors for inertial navigation of unmanned aerial vehicles. Technologies and Engineering, 25(4), 29-47. doi: 10.30857/2786-5371.2024.4.3.
[11] Jakobsen, K., Mikalsen, M., & Lilleng, G. (2023). A literature review of smart technology domains with implications for research on smart rural communities. Technology in Society, 75, article number 102397. doi: 10.1016/j.techsoc.2023.102397.
[12] Kamboh, U.R., Yang, Q., & Qin, M. (2017). Impact of self-organizing networks deployment on wireless service provider businesses in China. International Journal of Communications, Network and System Sciences, 10(5B), 78-89. doi: 10.4236/ijcns.2017.105b008.
[13] Kane, A.P., Kore, A.S., Khandale, A.N., Nigade, S.S., & Joshi, P.P. (2022). Predictive maintenance using machine learning. ARXIV. doi: 10.48550/arXiv.2205.09402.
[14] Kenfack, P.D.B., Abana, A.B., Tonye, E., Bemehemie, N.L., & Tchouleko, W.T. (2023) Optimization of mobile network radio coverage by automating radio parameter updates using parsing. Journal of Computer and Communications, 11(4), 79-102. doi: 10.4236/jcc.2023.114005.
[15] Khanzad, Z.G., & Gooyabadi, A.A. (2022). Digital strategizing: The role of the corporate culture. Open Journal of Business and Management, 10(6), 2974-2995. doi: 10.4236/ojbm.2022.106147.
[16] Lee, Y., Dervishi, I., Mousa, S., Safiullin, K.I., Ruban-Lazareva, N.V., Kosov, M.E., Ponkratov, V.V., Pozdnyaev, A.S., Mikhina, E.V., & Elyakova, I.D. (2023). Sustainable development adoption in the high-tech sector: A focus on ecosystem players and their influence. Sustainability, 15(18), article number 13674. doi: 10.3390/su151813674.
[17] Lien, S., Tseng, C., Moerman, I., & Badia, L. (2019). Recent advances in 5G technologies: New radio access and networking. Wireless Communications and Mobile Computing, 2019(1), article number 8202048. doi: 10.1155/2019/8202048.
[18] Mazhar, T., Talpur, D.B., Shloul, T.A., Ghadi, Y.Y., Haq, I., Ullah, I., Ouahada, K., & Hamam, H. (2023). Analysis of IoT security challenges and its solutions using artificial intelligence. Brain Sciences, 13(4), article number 683. doi: 10.3390/brainsci13040683.
[19] Nanjar, N.A., Maharani, N.T.S., Prastyo, N.P.A., Hidayat, N.M.T.N., & Najibulloh, N.I.K. (2024). Internet of things (IoT) integration in telecommunication networks: Challenges and opportunities. Journal of Technology Informatics and Engineering, 3(1), 11-24. doi: 10.51903/jtie.v3i1.156.
[20] Nazareno, L., & Schiff, D.S. (2021). The impact of automation and artificial intelligence on worker well-being. Technology in Society, 67, article number 101679. doi: 10.1016/j.techsoc.2021.101679.
[21] Nesterov, V. (2023). Integration of artificial intelligence technologies in data engineering: Challenges and prospects in the modern information environment. Bulletin of Cherkasy State Technological University, 28(4), 82-92. doi: 10.62660/2306-4412.4.2023.82-90.
[22] Nussibaliyeva, A., Sergazin, G., Tursunbayeva, G., Uzbekbayev, A., Zhetenbayev, N., Nurgizat, Y., Bakhtiyar, B., Orazaliyeva, S., & Yussupova, S. (2024). Development of an Artificial Vision for a Parallel Manipulator Using Machine-to-Machine Technologies. Sensors, 24(12), article number 3792. doi: 10.3390/s24123792.
[23] Osahenvemwen, A.O., & Omatahunde, B.E. (2018). Impacts of weather and environmental conditions on mobile communication signals. Journal of Advances in Science and Engineering, 1(1), 33-38. doi: 10.37121/jase.v1i1.8.
[24] Park, K., Sung, S., Kim, H., & Jung, J.I. (2023). Technological trends and challenges in SDN and service provisioning for end-to-end network slicing. Computer Networks, 234, article number 109908. doi: 10.1016/j.comnet.2023.109908.
[25] Pochmara, J., & Świetlicka, A. (2024). Cybersecurity of industrial systems – a 2023 report. Electronics, 13(7), article number 1191. doi: 10.3390/electronics13071191.
[26] Polakova-Kersten, M., Hanaga, S., van den Hoff, B., & Khapova, S.N. (2023). Digital transformation in high-reliability organizations: A longitudinal study of the micro-causes of failures. Journal of Strategic Information Systems, 32(1), article number 101756. doi; 10.1016/j.jsis.2023.101756.
[27] Rojek, I., Jasiulewicz-Kaczmarek, M., Piechowski, M., Mikołajewski, D. (2023) An artificial intelligence approach for improving maintenance to supervise machine failures and support their repair. Applied Sciences, 13, article number 4971. doi: 10.3390/app13084971.
[28] Sadiki, S., Ramadany, M., Faccio, M., & Amegouz, D. (2018). Implementation of a remote monitoring system for condition-based maintenance using wireless sensor network: Case study. Journal of Theoretical and Applied Information Technology, 96(15), 4770-4782.
[29] Savytska, L., Korobeynikova, T, Kostiuk, O., Kolesnyk, I., & Dudnik, A. (2024). Internet of Things protection means in the corporate computer network. Information Technologies and Computer Engineering, 21(1), 83-93. doi: 10.31649/1999-9941-2024-59-1-83-93.
[30] Smailov, N., Tsyporenko, V., Sabibolda, A., Tsyporenko, V., Kabdoldina, A., Zhekambayeva, M., Kuttybayeva, A., Bektilevov, A., Kassimov, A., & Abdykadyrov, A. (2023). Improving the accuracy of a digital spectral correlation-interferometric method of direction finding with analytical signal reconstruction for processing an incomplete spectrum of the signal. Eastern-European Journal of Enterprise Technologies, 5(9(125)), 14-25. doi: 10.15587/1729-4061.2023.288397.
[31] Thomas, R.M., & Malarvizhi, S. (2022). Resource allocation in wireless powered communication networks with power minimization. In 2022 International Conference on Advancement in Technology (ICONAT) (pp. 1-6). Goa: IEEE. doi: 10.1109/iconat53423.2022.9726084.
[32] Wilson, M., Liliane, U., & Baptiste, M.J. (2020) The intelligent software systems: The practical implementation of software security vulnerabilities detection modeling. Open Access Library Journal, 7, article number e6831. doi: 10.4236/oalib.1106831.
[33] Xin, Y., Yang, K., Chih-Lin, I., Shamsunder, S., Lin, X., & Lai, L. (2023). Guest editorial: AI-powered telco network automation: 5G evolution and 6G. IEEE Wireless Communications, 30(1), 68-69. doi: 10.1109/mwc.2023.10077118.
[34] Xu, D., Zhao, Y., Zhou, X., & Li, N. (2020). Research on innovative personnel training system of measurement and control specialty under the background of engineering education professional certification. Open Journal of Social Sciences, 8(3), 205-216. doi: 10.4236/jss.2020.83018.
[35] Zhao, N., Zhang, H., Yang, X., Yan, J., & You, F. (2023). Emerging information and communication technologies for smart energy systems and renewable transition. Advances in Applied Energy, 9, article number 100125. doi: 10.1016/j.adapen.2023.100125.