Cooperative Trajectory Planning and Resource Allocation for UAV-Enabled Integrated Sensing and Communication Systems
Cooperative Trajectory Planning and Resource Allocation for UAV-Enabled Integrated Sensing and Communication Systems
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DOI：
10.1109/tvt.2023.3337106
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发表时间：
2024-05
影响因子：
6.8
通讯作者：
Yu Pan;Ruoguang Li;Xinyu Da;Hang Hu;Miao Zhang;Dong Zhai;K. Cumanan;O. Dobre
中科院分区：
文献类型：
--
作者：
Yu Pan;Ruoguang Li;Xinyu Da;Hang Hu;Miao Zhang;Dong Zhai;K. Cumanan;O. Dobre
无人机（UAV）的灵活性和可控机动性使其更容易成为执行综合传感和通信（ISAC）功能的空中平台，并且多个UAV之间的协作是实现同时多站雷达传感和协调多点（CoMP）传输的有希望的方式，从而导致增强的ISAC服务。然而，由于无人机可以利用的固有资源有限，因此实现双重目的的性能改进具有挑战性。为此，研究了一种基于正交频分多址（OFDMA）的无人机ISAC系统，提出了一种联合轨迹规划和资源分配问题，以最小化目标位置估计的Cramér-Rao下界（CRLB），同时保证通信服务质量（QoS）约束.该问题为非凸问题，一般情况下难以求解，本文首先将原问题分解为三个子问题，然后提出相应的算法以有效地获得最优解。大量的仿真结果表明，所提出的算法的收敛性和性能的改善与不同的通信要求的定位相比，传统的技术。
The flexibility and controllable mobility of unmanned aerial vehicles (UAVs) render them easier to become aerial platforms carrying out integrated sensing and communication (ISAC) functionality, and the cooperation among multiple UAVs is a promising way to achieve simultaneous multi-static radar sensing and coordinated multiple point (CoMP) transmission, leading to an enhanced ISAC service. However, due to the intrinsically limited resources that UAVs can utilize, it is challenging to achieve performance improvement for dual purposes. Toward this end, in this paper, an orthogonal frequency division multiple access (OFDMA) UAV-enabled ISAC system is investigated, and a joint trajectory planning and resource allocation problem is formulated to minimize the Cramér-Rao lower bounds (CRLB) for target location estimation while guaranteeing the communication quality-of-service (QoS) constraints. The formulated problem is non-convex and difficult to solve in general, and we first decompose the original problem into three sub-problems and then propose the corresponding algorithms to obtain the optimal solutions efficiently. The extensive simulations demonstrate the convergence of the proposed algorithm and the performance improvement on the localization with different communication requirements compared to conventional techniques.