SINR约束下柔性高度无人机部署

Ke Zhao, Limei Peng
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引用次数: 1

摘要

本文建议使用无人机作为物联网接入点(ap)和地面基站/卫星之间的辅助飞行中继。具体而言,我们考虑在给定ap区域上方部署多架无人机,旨在为ap提供高效的服务,同时优化无人机的整体性能。我们的目标是在无人机总可用功率的约束下,在一定的服务时间内,使服务ap所需的无人机飞行次数最少,并使成功服务ap的总数最大化。为此,我们提出了一个整数线性规划(ILP)模型,该模型可以通过在适当选择的坐标上调整无人机的悬停高度来实现上述目标。在考虑多无人机干扰的情况下,对所提出的ILP模型进行了评估,并与基于固定高度的方案进行了比较。仿真结果表明,在满足信噪比(SINR)阈值和服务ap数约束的情况下,所提出的ILP模型能够自动调整无人机的飞行高度以减少飞行次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV Deployment with Flexible Height Under SINR Constraint
This paper proposes using UAVs as auxiliary flying relays between IoT access points (APs) and terrestrial base stations/satellites. Specifically, we consider the 3D deployment of multiple UAVs above a given area of APs, aiming at providing efficient services to the APs while optimizing the overall performance of UAVs. In particular, we aim to minimize the number of required UAV flights when serving the APs within a demanded time, which is constrained by the total available power of UAVs, and maximize the total number of successfully served APs. For this, we propose an integer linear programming (ILP) model that can achieve the above goals by adjusting the UAV hovering heights in the appropriately selected coordinates. The proposed ILP model is evaluated when considering interference among the multiple UAVs and compared with the schemes based on fixed heights. The numerical results show that the proposed ILP model can automatically adjust the flying height of UAVs to reduce the flights when complying with the constraints of the signal-to-interference-noise ratio (SINR) threshold and the number of APs to be served.
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