Implementation of distributed computing system for simulating of the radio communication processes

Today, the most important component of the mathematical modeling method, which is e ectively used to solve modern application problems, is modern information technology, which allows not only to accumulate practically unlimited amounts of experimental information, but also to analyze this data using visualization methods. The article discusses issues related to the development and implementation of a distributed computing system that makes it possible to simulate and analyze multiple experiments for data transmission in the case of using multi-frequency communication systems. Signal models with maximum entropy are used as message source models. As a model of a communication channel with noise, a channel with additive Gaussian noise which has a uniform spectrum in a given frequency band is used. The implemented computing system allows tabular and visual analysis of such parameters of the multiple experiments as the number of signal subcarriers, the range of time interval for signal restoration, the signal-to-noise ratio, the quadrature and in-phase components of the QAM signal, the energy and information characteristics of the signal and the speed of data transmission of the communication channel. The results of the serial experiments are illustrated in form of interactive graphs with animated effects.