The use of stratospheric drones for data transmission requires reliable two-way communication. In this regard, it is necessary to explore the possibilities of combining existing air and ground networks for effective interaction with stratospheric drones during heavy data tra c. This article focuses on calculating the packet loss and the impact of tra c parameters on communication with drones. For the rst time, tra c characteristics of the complex network "Base Station -Stratospheric Drone -RPAS -Ground Cellular Network" are obtained. The original models are created based on MATLAB Simulink and NetCracker software. Packet loss dependences on the transaction size for different numbers of cellular users are estimated using NetCracker software. Average load dependences on the size of the transaction are obtained. Channels with different throughput are considered and the in uence of channel loading on the bit error rate is studied. Data transmission is simulated using MATLAB Simulink depending on the signal-to-noise ratio, nonlinearity levels of the base station ampli er, types of signal modulation and diameters of base station antennas. Data obtained make it possible to predict the operation of stratospheric drones. increase the coverage, capacity, reliability and energy e ciency of wireless networks. Drones can act as ying mobile terminals within a cellular network. These drones, connected to a cellular network, can use several applications, ranging from live video streaming to delivering goods. The article [17] provides detailed guidance on the UAVs use in wireless communications: 3D deployment, performance analysis, channel modeling and energy e ciency. Analytical foundations and mathematical tools such as optimization theory, machine learning, stochastic geometry, transport theory and game theory are described. The basic recommendations for the analysis, optimization and design of wireless communication systems based on UAVs are presented.