关键词: 无人机通信, 混合概率信道, 轨迹设计, 全双工, 能耗最小化

Abstract:

A fixed-wing UAV being the full-duplex moving relay, and a hybrid probability channel being the source to send data to the destination, through the flight optimal trajectory design. On the basis of ensuring the total data amount of source-destination communication, the energy consumption of the system is minimized. Two optimization problems of runway shape and mixed trajectory are established, which are non-convex and are difficult to get the closed-form solution. The hybrid probability channelsgains are replaced by the average channel gains, and the lower bounds of the received data at the UAV and the destination are calculated by Taylor's first-order expansion. The constraints are simplified, and the approximate problems are obtained. Solved by the genetic algorithm and the internal point method, the running track and mixed trajectory of UAV are designed. Simulation results show that the running track trajectory design can achieve better energy-saving effect in any cases. For the case of large data delivery and long distance between the source and destination, the mixed trajectory achieves better energy-saving effect than the straight-line and circular trajectories. The complexity of the genetic algorithm is less than the internal point method, implying that the genetic algorithm is more suitable for the case of high real-time requirement.

Key words: UAV communication, hybrid probability channel, trajectory design, full-duplex, energy minimization