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This article describes the effect of the weather on radio wave propagation in a mobile telecommunication network. The research is focused on urban and countryside environments where a correlation between the received signal power level and weather conditions is found using the Random Forest algorithm as a signal level approximator. The results achieved in this paper clearly indicate that it is possible to predict the behaviour of the received power level in relationship to atmospheric phenomena.

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The techniques used in GSM networks for mobile station localization typically use several methods with different level of granularity, based on the base network parameters such as Cell Identification, Timing Advance, the position of Base Transceiver Station, the parameters of Base Transceiver Station antenna etc. This article introduces several others parameters that can be used for network description. This extension can be useful with visualization of localization outputs in cellular network.