HAIDER MOHMMED ALABDELI,MUSTAFO TURSUNOV,ABDUMUTALLIEV ABDULAKHAD ABDUSAMAD UGLI
DOI: https://doi.org/The problem of space weather influences poses critical challenges to radio wave communication systems from Earth to space. About signal quality, these factors exacter the probability of errors, unavailability of the link, and quality degradation of the link. In this case, I analyze space weather conditions, such as solar flares, rain, fog, and geomagnetic storms, specifically concentrating on their effects on ionospheric disturbances. A novel real-time ionosphere adaptive communication system is designed to ensure reliable signal strength through ionosphere real-time monitoring and automated control. The environment monitoring component integrated into the system includes the EARLA algorithm, which adapts to changes in weather conditions by modulating the coding techniques, control transmission power, and signal frequency. EARLA also employs gateway and frequency diversity to mitigate signal attenuation during periods of high variability. Simulations with real weather datasets have demonstrated that link availability for communication was enhanced by over thirty percent.
In contrast, the rate of errors in bits during changing weather and ionosphere conditions was considerably reduced. This is particularly useful for Earth observation networks, deep space missions, and high-throughput satellites, where the application of predictive models alongside adaptive physical layer strategies can bring significant benefits. This work enhances strategies used for communicating over radio during extreme weather conditions.
