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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks
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Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks

机译：无人飞行器作为通信中继的移动性控制以优化地对空上行链路

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摘要

In recent years, unmanned aerial vehicles (UAVs) have been considered an ideal relay platform for enhancing the communication between ground agents, because they fly at high altitudes and are easy to deploy with strong adaptabilities. Their maneuvering allows them to adjust their location to optimize the performance of links, which brings out the relay UAV autonomous mobility control problem. This work addressed the problem in a novel scene with mobile agents and completely unknown wireless channel properties, using only online measured information of received signal strength (RSS) and agent positions. The problem is challenging because of the unknown and dynamic radio frequency (RF) environment cause by agents and UAV maneuvering. We present a framework for both end-to-end communication and multi-agent-inter communication applications, and focus on proposing: (1) least square estimation-based channel approximation with consideration of environment effects and, (2) gradient-based optimal relay position seeking. Simulation results show that considering the environmental effects on channel parameters is meaningful and beneficial in using UAV as relays for the communication of multiple ground agents, and validate that the proposed algorithms optimizes the network performance by controlling the heading of the UAV.
机译：近年来，无人飞行器（UAV）被认为是增强地面人员之间通信的理想中继平台，因为它们在高空飞行并且易于部署且适应性强。他们的机动使他们能够调整位置以优化链路的性能，从而带来了中继无人机自主移动性控制问题。这项工作仅使用接收到的信号强度（RSS）和代理位置的在线测量信息，解决了移动代理和完全未知的无线信道属性的新型场景中的问题。由于代理人和UAV机动导致未知的动态射频（RF）环境，因此该问题具有挑战性。我们提出了一种端到端通信和多主体间通信应用程序的框架，并着重提出：（1）考虑环境影响的基于最小二乘估计的信道逼近，以及（2）基于梯度的最优中继位置搜索。仿真结果表明，考虑环境因素对信道参数的影响，对于将无人机作为多个地面代理进行通信的中继是有意义和有益的，并验证了所提出的算法通过控制无人机的航向优化了网络性能。

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