混合概率信道下的全双工无人机中继轨迹优化
Optimal Trajectory of Full-duplex UAV Relaying over Hybrid Probability Channels
王涛 1吉晓东1
作者信息
- 1. 南通大学信息科学技术学院,江苏南通 226019
- 折叠
摘要
研究了固定翼无人机作为全双工移动中继,通过混合概率信道为源节点向目标节点转发数据的飞行轨迹优化设计,在满足源与目标通信任务量要求的情况下,最小化无人机飞行能耗.建立了跑道形和混合轨迹的两种最优化问题,该问题是非凸问题,难以求得闭式解,先将混合信道增益用平均信道增益代替,并利用泰勒展开求出中继和目标节点接收数据量的下界,以此化简约束,从而得到原问题的近似问题.利用遗传算法和内点法求解近似问题,给出跑道形和混合轨迹两种无人机轨迹设计.实验结果表明:跑道形轨迹在任何场景下均有较好的节能效果;在大任务量和源与目标距离较远时,混合轨迹节能效果好于直线和圆形轨迹.时间复杂度分析发现,遗传算法的复杂度小于内点法,更加适用于实时性要求高的场景.
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 channels gains are replaced by the average channel gains,and the lower bounds of the received data at the UA V 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 UA V 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.
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Key words
UAV communication/hybrid probability channel/trajectory design/full-duplex/energy minimization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据