基于系统成本函数优化的无人机辅助通感一体化系统数据调度、雷达预编码及飞行轨迹优化方法
System Cost Function Optimization-Based Data Scheduling, Radar Precoding and Flight Trajectory Design for UAV-Assisted Integrated Sensing and Communication Systems
- 电子学报 2025年53卷第3期 页码：744-753
- 作者机构：
1.重庆邮电大学通信与信息工程学院，重庆 400065
2.西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710126
- 作者简介：
[ "柴蓉 女，1974年7月出生于陕西省西安市.现为重庆邮电大学教授、博士生导师.主要研究方向为空天体一体化网络架构及关键技术、无线资源管理及移动性管理技术等. E-mail: chairong@cqupt.edu.cn" ]
[ "王丙燕 女，2000年4月出生于山东省滨州市.现为重庆邮电大学硕士研究生.主要研究方向为无人机通感一体化、无线资源分配等. E-mail: s220101144@stu.cqupt.edu.cn" ]
[ "孙瑞锦 女，1992年3月出生于山西省运城市.现为西安电子科技大学副教授、硕士生导师，陕西省青年人才.主要研究方向为知识驱动的资源调度等. E-mail: snowwhite@uestc.edu.cn" ]
[ "景小荣 男，1974年6月出生于甘肃省平凉市.现为重庆邮电大学教授、博士生导师.主要研究方向为移动通信理论与通信信号处理等. E-mail: jingxr@cqupt.edu.cn" ]
- 基金信息：国家自然科学基金(62271097)
DOI：10.12263/DZXB.20240656
中图分类号： TN915;收稿：2024-07-11，
修回：2025-02-20，
纸质出版：2025-03-25
- 稿件说明：
移动端阅览
柴蓉, 王丙燕, 孙瑞锦, 等. 基于系统成本函数优化的无人机辅助通感一体化系统数据调度、雷达预编码及飞行轨迹优化方法[J]. 电子学报, 2025, 53(03): 744-753.
CHAI Rong, WANG Bing-yan, SUN Rui-jin, et al. System Cost Function Optimization-Based Data Scheduling, Radar Precoding and Flight Trajectory Design for UAV-Assisted Integrated Sensing and Communication Systems[J]. Acta Electronica Sinica, 2025, 53(03): 744-753.
柴蓉, 王丙燕, 孙瑞锦, 等. 基于系统成本函数优化的无人机辅助通感一体化系统数据调度、雷达预编码及飞行轨迹优化方法[J]. 电子学报, 2025, 53(03): 744-753. DOI：10.12263/DZXB.20240656
CHAI Rong, WANG Bing-yan, SUN Rui-jin, et al. System Cost Function Optimization-Based Data Scheduling, Radar Precoding and Flight Trajectory Design for UAV-Assisted Integrated Sensing and Communication Systems[J]. Acta Electronica Sinica, 2025, 53(03): 744-753. DOI：10.12263/DZXB.20240656
摘要
本文针对多天线无人机（Unmanned Aerial Vehicle，UAV）辅助的通信感知一体化场景，综合考虑目标感知及用户通信性能，定义系统成本函数为系统能耗与用户速率的加权和，将通信感知调度、感知预编码设计以及UAV飞行轨迹优化问题建模为一个满足约束条件的系统成本函数优化问题.由于所建模优化问题为一个变量高度耦合且非凸的混合整型优化问题，难以直接求解，本文将原优化问题拆分为三个子问题，即UAV飞行轨迹优化子问题、通信感知调度子问题和雷达感知预编码子问题，并提出一种迭代嵌套方法来求解这些子问题.针对UAV飞行轨迹优化子问题，将其建模为马尔可夫决策过程（Markov Decision Process，MDP），并提出一种基于双重深度
Q
网络的UAV轨迹优化算法.对于给定的MDP系统状态，采用拉格朗日对偶变换方法和二次变换方法求解通信感知调度子问题，并通过引入辅助变量及约束条件等价转换方法求解雷达感知预编码子问题.基于所得到的通信感知调度策略和雷达感知预编码，更新MDP奖励函数，确定UAV飞行轨迹，以迭代实现通信感知调度策略、感知预编码设计及UAV飞行轨迹的联合优化.最后，通过仿真验证了本文所提算法的有效性.
Abstract
In this paper
the scenario of multiple antenna-unmanned aerial vehicle (UAV)-assisted sensing and communication is addressed. Target perception and user communication performance is comprehensively considered
and system cost function is defined as the weighted sum of system energy consumption and user data rate. The optimization problem of communication and sensing scheduling strategy
perception precoding design
and UAV flight trajectory is formulated as a constrained system cost function optimization problem. Due to the highly coupled and non-convex nature of the optimization problem
it is challenging to solve directly. To tackle this problem
the formulated optimization problem is decomposed into three subproblems
i.e.
UAV flight trajectory optimization subproblem
communication and sensing scheduling subproblem
and radar perception precoding subproblem
and an iterative nested method is proposed to solve these subproblems. For UAV flight trajectory optimization subp
roblem
a markov decision process (MDP) is modeled
and a UAV trajectory optimization algorithm is designed based on double deep
Q
-networks. Given the state of the MDP model
the communication and sensing scheduling subproblem is solved using Lagrange dual transformation and quadratic transformation methods
and the radar perception precoding subproblem is addressed through applying equivalent transformation approaches
i.e.
introducing auxiliary variables and converting optimization constraints. Based on the obtained communication and sensing scheduling strategy and radar perception precoding
the reward function of the MDP model is updated and the UAV flight trajectory is determined
so as to achieve the joint optimization of communication and sensing scheduling
perception precoding design
and UAV flight trajectory. The effectiveness of the proposed algorithm is verified through simulations.
关键词
Keywords
references
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