Dynamic control of distributed antenna systems to improve communication quality in underground mining tunnels

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Abstract
This paper presents the results of a study aimed at improving the performance of Distributed Antenna Systems in underground mining environments through the implementation of an adaptive control algorithm. Thanks to the integration of various devices and systems, the possibility of intelligent control of the antenna infrastructure has emerged, which allows optimizing the operation of communication networks and increasing their performance. The Python programming environment was used for modeling. Simulation results demonstrated a 30% increase in signal quality and a 40% reduction in communication interruptions during emergency scenarios. The adaptive algorithm dynamically responds to environmental changes in real time, significantly enhancing system reliability. The results were validated by comparing them with experimental data, showing an accuracy within a 5% error margin. However, the implementation of adaptive algorithms also led to a 20–30% increase in operational costs.

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