无人机辅助空中计算的轨迹和功率联合优化方法
A Joint Optimization Method for Trajectory and Power of Unmanned Aerial Vehicle assisted Over-the-Air Computation
李松 1李佳琦 2王博文 2陈瑞瑞 2孙彦景 1张晓光2
作者信息
- 1. 中国矿业大学信息与控制工程学院 徐州 221116;徐州市智能安全与应急协同工程研究中心 徐州 221116
- 2. 中国矿业大学信息与控制工程学院 徐州 221116
- 折叠
摘要
无人机(UAV)辅助的空中计算(AirComp)系统为大范围、分布式数据的快速聚合提供了有效的解决方法.该文研究了通过无人机辅助空中计算系统联合轨迹规划与功率优化方法.UAV作为移动基站,通过调整其运动轨迹和地面传感器节点发射功率,实现AirComp系统聚合数据均方误差的最优化.在UAV轨迹、传感器功率限制下,联合优化UAV轨迹、去噪因子和传感器功率,使时间平均均方误差最小化.基于块坐标下降和逐次凸逼近方法,提出无人机飞行轨迹与功率联合优化算法,并通过仿真验证了所提算法的性能.
Abstract
The Unmanned Aerial Vehicle(UAV)assisted over-the-Air Computation(AirComp)system provides an effective solution for the fast aggregation of large-scale and distributed data.In this paper,a joint trajectory planning and power optimization method through UAV-assisted AirComp system is investigated.As a mobile base station,UAV is used to optimize the mean square error of the aggregated data of the AirComp system by adjusting its trajectory and transmitting power of the ground sensors.Under the limitations of UAV trajectory and sensor power,the UAV flight trajectory,the scaling factor and sensor power are jointly optmized to minimize the time-averaged mean square error.Based on the block coordinate descent and successive convex approximation methods,the joint optimization algorithm of UAV flight trajectory and power is proposed.Simulation results verify the performance of the proposed algorithm.
关键词
空中计算/轨迹规划/功率控制/无人机Key words
Over-the-Air Computation(AirComp)/Trajectory planning/Power control/Unmanned Aerial Vehicle(UAV)引用本文复制引用
基金项目
国家自然科学基金(62071472)
国家自然科学基金(62101556)
中央高校基本科研业务费项目(2020ZDPYMS26)
江苏省自然科学基金(BK20200650)
江苏省自然科学基金(BK20210489)
江苏省未来网络科研基金(FNSRFP-2021-YB-12)
出版年
2024
NETL
NSTL
万方数据