ASSESSMENT OF THE STATE OF DISRUPTIONS IN THE POWER SUPPLY SYSTEM OF A MOBILE COMMUNICATION BASE STATION

Authors

DOI:

https://doi.org/10.37943/21JFNX5577

Keywords:

GSM, LTE, NR, base station, continuous energy, reliability, reliability probability, Weibull parameter, linear regression

Abstract

This study provides an in-depth analysis of power supply interruptions at mobile communication base stations (BS) operated by the Khorezm branch of Uzbekistan’s Uzmobile national mobile operator. The primary objective of this analysis is to evaluate the duration of power supply interruptions and their impact on the operational performance of base stations. In the case of the Khorezm region, data on power supply interruptions collected over one year from all districts were examined. According to statistical data, 13 base stations with the highest number of interruptions were selected for detailed analysis. The frequency, duration, and causes of these interruptions were studied to assess the reliability of the power supply system. The assessment results revealed distinct characteristics of power interruptions across different areas of the region. Special attention was given to evaluating the reliability of base stations from the perspective of power supply stability. The stability of the power supply system was used as the primary criterion in the analysis. The resilience of base stations to interruptions and the efficiency of their service were compared based on the frequency and duration of power outages. Additionally, the geographic location of the stations, the reliability of their connection to the electric grid, and other external factors were analyzed. The analysis identified significant differences in the intensity of power interruptions between districts in the Khorezm region. In some areas, the high frequency of interruptions was attributed to issues within the local energy infrastructure or natural conditions. Furthermore, the data enabled an assessment of how power supply interruptions affect the uninterrupted operation of base stations. This study draws important conclusions regarding the reliability of mobile communication infrastructure components, particularly base stations, in the Khorezm region. The findings emphasize the need for further research into eliminating energy supply issues, improving the efficiency of base stations, and enhancing the quality and continuity of communication services. The results of the analysis pave the way for developing technical and technological solutions to improve the reliability of base stations. Specifically, the implementation of alternative energy sources, such as supercapacitor banks or backup batteries, is recommended to provide rapid responses to power interruptions. Additionally, the advancement of monitoring and automated control systems is identified as an effective means to ensure the stability of base stations. This research serves as a crucial scientific and practical foundation for devising measures to improve the reliability of power supply systems in mobile communication networks.

Author Biographies

Dilmurod Davronbekov, Muhammad al-Khwarizmi Tashkent University of Information Technologies, Uzbekistan

DSc, Professor, Department of Mobile Communication Technologies

Muhammad Muradov, Muhammad al-Khwarizmi Tashkent University of Information Technologies, Uzbekistan

PhD Candidate, Department of Mobile Communication Technologies

References

Deruyck, M., Joseph, W., Tanghe, E., & Martens, L. (2014). Reducing the power consumption in LTE-Advanced wireless access networks by a capacity based deployment tool. Radio Science, 49(9), 777-787.

Kwocan, A., Buhari, M. D., Ukagwu, K., & Serugunda, J. (2023). On-site Energy Utilization Evaluation of Telecommunication Base Station: A Case Study of Western Uganda. arXiv preprint arXiv:2308.07730.

Matyokubov, U. K., Muradov, M. M., & Djumaniyozov, O. B. (2022, September). Analysis of Sustainable Energy Sources of Mobile Communication Base Stations in the Case of Khorazm Region. In 2022 International Conference on Information Science and Communications Technologies (ICISCT) (pp. 1-4). IEEE.

Elbaset, A. A., & Ata, S. (2021). Hybrid renewable energy systems for remote telecommunication stations (pp. 11-157). Springer International Publishing.

Khujamatov, H., Davronbekov, D., Khayrullaev, A., Abdullaev, M., Mukhiddinov, M., & Cho, J. (2024). ERIRMS Evaluation of the Reliability of IoT-Aided Remote Monitoring Systems of Low-Voltage Overhead Transmission Lines. Sensors, 24(18), 5970.

Matyokubov, O. T., & Muradov, M. (2024). MOBIL ALOQA TAYANCH STANSIYASI ELEKTR TA’MINOT TIZIMLARIDAGI DOLZARB MUAMMOLAR. International Journal of scientific and Applied Research, 1(3), 79-83.

Lorincz, J., Garma, T., & Petrovic, G. (2012). Measurements and modelling of base station power consumption under real traffic loads. Sensors, 12(4), 4281-4310.

Davronbekov, D. A., & Matyokubov, U. K. (2021). The use of supercapacitors to stabilize the power supply system of the base station of mobile communication. Scientific-technical journal, 25(1), 6-19.

Matyokubov, U. K., Muradov, M. M., & Yuldoshev, J. F. (2024, June). Development of the Method and Algorithm of Supplying the Mobile Communication Base Station with Uninterrupted Electrical Energy. In 2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM) (pp. 2400-2406). IEEE.

Oliyide, R. O., & Olugbemi, M. F. (2024). Renewable Electricity Generation: Solution to GHG Emissions in Nigeria Telecom Industry. World Journal of Engineering and Technology, 12(4), 885-894.

Sagadatova, N., Talas, B., Nugumanova, A., & Zhakiyev, N. (2023). Forecasting Electricity Consumption: Case Study in Astana. Scientific Journal of Astana IT University, 16-25.

Kabdygali, S., Omirgaliyev, R., Tursynbayev, T., Kayisli, K., & Zhakiyev, N. (2023). DEEP RECURRENT NEURAL NETWORKS IN ENERGY DEMAND FORECASTING: A CASE STUDY OF KAZAKHSTAN'S ELECTRICAL CONSUMPTION. Scientific Journal of Astana IT University.

Qamrov hududi, Online website https://uztelecom-uz.translate.goog/uz/jismoniy-shaxslarga/mobil-aloqa/gsm/foydali-axborot/qamrov-hududi?_x_tr_sl=ru&_x_tr_tl=uz&_x_tr_hl=uz&_x_tr_pto=sc.

Ribeiro, E., Cardoso, A. J. M., & Boccaletti, C. (2011, October). Power conditioning and energy management in a renewable energy based hybrid system for telecommunications. In 2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC) (pp. 1-9). IEEE.

Mamidala, S. R., & Nalapatla, S. R. (2013). Literature review on energy efficiency of base stations and improving energy efficiency of a network through cognitive radio.

D.Davronbekov. (2011) Sredstva peredachi i priyema informatsii v mobilnix sistemax svyazi:konspekt leksiy [Means of transmitting and receiving information in mobile communication systems: lecture notes], 211-225.

Juraeva, N. I., ugli Khayrullaev, A. F., & ugli Hamraev, J. H. (2020, December). Analysis of the energy efficiency of wireless communication when receiving a data stream. In IOP Conference Series: Materials Science and Engineering (Vol. 981, No. 3, p. 032007). IOP Publishing.

Davronbekov, D. A., & Muradov, M. M. (2024). Features of the power supply system of the mobile communication base station. Integration of Science and Practice in Modern Conditions, Minsk, Belarus.

Matyokubov, U. K., & Muradov, M. M. (2023, November). Comparison of Routing Methods in Wireless Sensor Networks. In 2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE) (pp. 1780-1784). IEEE.

Jia, G., & Zhou, J. (2021). Effectiveness evaluation method of application of mobile communication system based on factor analysis. Sensors, 21(16), 5414.

Ciocan, I., Farcăş, C., Grama, A., & Tulbure, A. (2016, October). An improved method for the electrical parameters identification of a simplified PSpice supercapacitor model. In 2016 IEEE 22nd International Symposium for Design and Technology in Electronic Packaging (SIITME) (pp. 171-174). IEEE.

Khalikov, A. (2023). Method for water disinfecting by a single spatial electromagnetic field. In E3S Web of Conferences (Vol. 419, p. 01011). EDP Sciences.

Aliev, R. (2021, October). Model Coordinate System of Interval Regulation Train Traffic. In International Conference on Computational Techniques and Applications (pp. 459-467). Singapore: Springer Nature Singapore.

Aliev, R., & Aliev, M. (2022, June). Mathematical model and algorithm for determining the optimal parameters of sensors control the approach of a train to a crossing in normal and control modes. In AIP Conference Proceedings (Vol. 2432, No. 1). AIP Publishing.

James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). Linear regression. In An introduction to statistical learning: With applications in python (pp. 69-134). Cham: Springer international publishing.

Elagin, V. S., Belozertsev, I. A., Goldshtein, B. S., Onufrienko, A. V., & Vladyko, A. G. (2019, March). Models of QOE ensuring for OTT services. In 2019 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-4). IEEE.

Gutierrez, R., Asca, B., & Kemper, G. (2019, April). A Computational Algorithm Based on Convolutional Neural Networks Aimed at Estimating the MOS Quality Parameter According to the Norm UIT-T P. 862. In 2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) (pp. 1-4). IEEE.

Leonte, S., Pastrav, A., Zamfirescu, C., & Puschita, E. (2024). Voice Quality Evaluation in a Mobile Cellular Network: In Situ Mean Opinion Score Measurements. Sensors, 24(20), 6630.

Downloads

Published

2025-03-30

How to Cite

Davronbekov, D., & Muradov, M. (2025). ASSESSMENT OF THE STATE OF DISRUPTIONS IN THE POWER SUPPLY SYSTEM OF A MOBILE COMMUNICATION BASE STATION. Scientific Journal of Astana IT University, 21, 125–136. https://doi.org/10.37943/21JFNX5577

Issue

Section

Information Technologies