Abstract
In this paper, we propose novel online three-dimensional (3-D) trajectory design for unmanned aerial vehicle (UAV)-enabled communications, where a single UAV needs to adaptively determine its locations in real-time in order to provide radio coverage to terrestrial mobile users. Taking the kinematic constraints on the speed and the turning angle of the UAV into account, we formulate a UAV trajectory optimization problem to maximize the throughput of the considered system, while satisfying the coverage requirements of the mobile users simultaneously. To solve this NP-hard problem, we propose two online 3-D trajectory optimization algorithms, which utilize the past and current information of the system only. Compared to the offline trajectory optimization scheme where the global information of the system is available, our proposed algorithms can achieve almost the same system performance, while inducing significant lower computational complexity.
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