Abstract

Unlike terrestrial wireless stations, using drones as aerial wireless stations allows for improved wireless services due to their 3D mobility. Therefore, model interactions play a pivotal role in determining the locations and trajectories of drones and their performance. In this paper, we discuss the interactions between models in the Internet of drones under different real-life scenarios. These models include: the channel path loss models, intelligent reflecting surface (IRS) placement model, solar energy model, wireless power transfer (WPT) model, and power consumption model. Moreover, we discuss learned lessons and highlight future research directions relevant to these models.