In this study, an Internet of Things (IoT) communication network is considered, where mobile users in a dense urban environment communicate via a stationary Unmanned Aerial Vehicle (UAV) that acts as a base station. It is thought that the users in the network are designed with a single antenna and the UAV with a double antenna. Users estimate the channel gain parameters according to the pilot symbols they receive from the UAV and send their symbols to the UAV by encoding them with the Space-Time Line Coding (STLC) technique according to these channel gain parameters. In the UAV, on the other hand, symbols are retrieved intensively without the need for channel gain information that may come from users. Monte Carlo simulations were created under various assumptions and the error performance of a fixed user on the network was examined. It is assumed that the envelopes of the communication channels in the system follow the Ricean fading channel in small-scale fading.