3D Deployment of Dynamic UAV Base Station based on Mobile Users

Abstract

The deployment of multiple dynamic rotary-wing UAV base stations is studied for moving users. The cumulative utility of the communication network is maximized by adding and applying the three paremeters of the UAV base stations in terms of total channel transmission rate, mobile energy consumption, and coverage utility. The UAV base station performs different motions in different time slots, which translates the process into a Markov decision process. Since the user moves randomly within the time slot, the reward function value of the “next two steps” of the dynamic UAV base station is considered. The mobility prediction of the user is taken into account to some extent, and finally the mobile strategy of the UAV base station within the current time slot is selected comprehensively. The simulation results show that the improved algorithm is effective in achieving the best coverage of the UAV base station.