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Wireless Communications and Control for Swarms of Cellular-Connected UAVs

机译:无线通信和控制蜂窝连接的无人机的群

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By using wireless connectivity through cellular base stations (BSs), swarms of unmanned aerial vehicles (UAVs) can provide a plethora of services ranging from delivery of goods to surveillance. In particular, UAVs in a swarm can utilize wireless communications to collect information, like velocity and heading angle, from surrounding UAVs for coordinating their operations and maintaining target speed and intra-UAV distance. However, due to the uncertainty of the wireless channel, wireless communications among UAVs will experience a transmission delay which can impair the swarm`s ability to stabilize system operation. In this paper, the problem of joint communication and control is studied for a swarm of three cellular-connected UAVs positioned in a triangle formation. In particular, a novel approach is proposed for optimizing the swarm`s operation while jointly considering the delay of the wireless network and the stability of the control system. Based on this approach, the maximum allowable delay required to prevent the instability of the swarm is determined. Moreover, by using stochastic geometry, the reliability of the wireless network is derived as the probability of meeting the stability requirement of the control system. The simulation results validate the effectiveness of the proposed joint strategy, and help obtain insightful design guidelines on how to form a stable swarm of UAVs.
机译:通过通过蜂窝基站(BSS)使用无线连接,无人驾驶飞行器(无人机)的大群可以提供从货物的交付到监视的过多服务。特别地,在一个群无人机可以利用无线通信来收集信息,如速度和航向角,从周围无人机以协调它们的操作和维护的目标速度和帧内UAV距离。然而,由于无线信道的不确定性,无人机之间的无线通信将经历可能损害群体稳定系统操作的能力的传输延迟。在本文中,研究了联合通信和控制的问题,用于三角形的三个蜂窝连接的无人机的群。特别地,提出了一种新的方法,用于优化群体的操作,同时共同考虑无线网络的延迟以及控制系统的稳定性。基于这种方法,确定防止群体不稳定性所需的最大允许延迟。此外,通过使用随机几何形状,导出无线网络的可靠性作为满足控制系统的稳定性要求的可能性。仿真结果验证了拟议的联合战略的有效性,并有助于获得关于如何形成稳定的无人机群的富有洞察的设计指南。

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