BASE STATION MONITORING TECHNOLOGIES IN MOBILE NETWORKS
DOI:
https://doi.org/10.5281/zenodo.17596038Keywords:
base stations, network monitoring, LTE, 5G, basic predictive analytics; edge computing; FEU; telecommunications infrastructure; UzbekistanAbstract
The article examines contemporary approaches to monitoring LTE and 5G mobile network base stations, with a
focus on the technological, climatic, and operational conditions of the Republic of Uzbekistan. The study emphasizes that
reliable monitoring systems are essential for maintaining network stability and service quality, particularly in regions with
challenging environmental conditions. A comparative analysis is conducted between low-cost monitoring solutions based
on microcontrollers and environmental sensors, energy management systems, and algorithmic methods for regulating
the load on transmitter modules. In addition, the role of distributed and edge-level monitoring platforms is considered,
highlighting their capacity to process performance data locally and reduce dependence on centralized control centers.
Particular attention is paid to the climatic factors of Uzbekistan, where high summer temperatures, low humidity, and
frequent dust and sandstorms place additional stress on base station equipment. These conditions accelerate hardware
wear, increase cooling requirements, and heighten the risk of overheating and equipment failure. The article evaluates
international practices to identify approaches that can be effectively adapted to the national telecommunications context.
Based on the findings, the study proposes recommendations for improving the efficiency of the monitoring infrastructure.
These include implementing standardized monitoring modules, applying adaptive and energy-efficient climate control
strategies, and introducing predictive maintenance tools. Together, these measures are expected to improve energy
efficiency, reduce operational costs, and enhance the resilience of mobile communication networks in Uzbekistan
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