论文标题
毫米波去除无人机控制和公共安全方案的通信
Millimeter Wave Remove UAV Control and Communications for Public Safety Scenarios
论文作者
论文摘要
无人驾驶汽车(UAV)的沟通和视频捕获可为远程公共安全环境中的急救人员提供巨大潜力。在这种用途中,毫米波(MMWave)无线链接可以在无人机和远程命令中心之间提供高吞吐量和低延迟连接性。但是,由于需要支持高速束跟踪并克服阻塞,因此在MMWave带中保持可靠的航空通信是具有挑战性的。本文提供了一项模拟研究,旨在通过28 GHz的5G链接来评估公共安全连通性的可行性。实际飞行轨迹是在操纵过程中捕获的,类似于公共安全环境中的预期。然后将运动跟踪纳入详细的MMWave网络模拟器中,该模拟器对通道,阻塞,波束成形和完整3GPP协议堆栈进行建模。我们表明,当基站位于任务区域附近时,5G mmwave通信最多可传递1 Gbps,并具有一致的子MS延迟,从而实现了无人机控制和感知算法的远程卸载。
Communication and video capture from unmanned aerial vehicles (UAVs) offer significant potential for assisting first responders in remote public safety settings. In such uses, millimeter wave (mmWave) wireless links can provide high throughput and low latency connectivity between the UAV and a remote command center. However, maintaining reliable aerial communication in the mmWave bands is challenging due to the need to support high speed beam tracking and overcome blockage. This paper provides a simulation study aimed at assessing the feasibility of public safety UAV connectivity through a 5G link at 28 GHz. Real flight motion traces are captured during maneuvers similar to those expected in public safety settings. The motions traces are then incorporated into a detailed mmWave network simulator that models the channel, blockage, beamforming and full 3GPP protocol stack. We show that 5G mmWave communications can deliver throughput up to 1 Gbps with consistent sub ms latency when the base station is located near the mission area, enabling remote offloading of the UAV control and perception algorithms.