Modeling and Performance Optimization of Unmanned Aerial Vehicle Channels in Urban Emergency Management

With the development of smart cities, use unmanned aerial vehicles (UAVs) for interactive information exchange between air and ground can provide effective support deployment emergency work. However, existing UAV air-to-ground channels often a single channel model. Considering that density distribution obstructions on transmission paths at different heights are different, only using model greatly affects reliability communications. Aiming addressing characteristics heights, height-based adaptive SUUL-SULA is proposed in this paper. Firstly, ultra-low altitude environment, influence large-scale fading small-scale envelope received signal discussed based classic LOO model, probability function bit error rate derived. Secondly, SULA Jakes’ low-altitude environment. The uniform circular array beamforming technology adopted to realize design Doppler frequency shift compensation algorithm. Finally, simulation results show effectively reduces system improves communication. Therefore, physical application city management.