论文标题
无人用的轨迹和波束形成优化,用于集成的周期性传感和通信
UAV Trajectory and Beamforming Optimization for Integrated Periodic Sensing and Communication
论文作者
论文摘要
无人机(UAV)有望为综合传感和通信(ISAC)系统带来变革性的改进。但是,由于共享频谱资源,在这两个综合功能之间取得关键的权衡是一项挑战。为了解决这个问题,我们在本文中提出了一种新的集成\ emph {周期性}的感应和通信机制,用于iSAC系统。具体而言,通过共同优化无人机轨迹,传输预编码器和感应启动的瞬间,可以最大程度地提高用户可实现的速率,但要遵守传感频率和光束图案增益限制。尽管这个问题是高度非凸,并且涉及无限数量的变量,但我们获得了最佳的传输预编码器,并在任何给定的无人机位置中得出了最佳的封闭形式可实现率,以促进无人机轨迹设计。此外,我们首先证明了没有位置约束的不同ISAC框架中最佳解决方案之间的结构对称性,然后为一般位置约束的情况提出了高质量的无人机轨迹和传感优化算法。仿真结果证实了拟议设计的有效性,并在基准方案中揭示了ISAC系统中更灵活的权衡。
Unmanned aerial vehicle (UAV) is expected to bring transformative improvement to the integrated sensing and communication (ISAC) system. However, due to shared spectrum resources, it is challenging to achieve a critical trade-off between these two integrated functionalities. To address this issue, we propose in this paper a new integrated \emph{periodic} sensing and communication mechanism for the UAV-enable ISAC system. Specifically, the user achievable rate is maximized via jointly optimizing UAV trajectory, transmit precoder, and sensing start instant, subject to the sensing frequency and beam pattern gain constraints. Despite that this problem is highly non-convex and involves an infinite number of variables, we obtain the optimal transmit precoder and derive the optimal achievable rate in closed-form for any given UAV location to facilitate the UAV trajectory design. Furthermore, we first prove the structural symmetry between optimal solutions in different ISAC frames without location constraints and then propose a high-quality UAV trajectory and sensing optimization algorithm for the general location-constrained case. Simulation results corroborate the effectiveness of the proposed design and also unveil a more flexible trade-off in ISAC systems over benchmark schemes.