Unmanned aerial vehicles (UAVs), as aerial base stations, are a promising solution for providing wireless communications, thanks to their high flexibility and autonomy. Moreover, emerging services, such as extended reality, require high-capacity communications. To achieve this, millimeter wave (mmWave), and recently, terahertz bands have been considered for UAV communications. However, communication at these high frequencies requires a line-of-sight (LoS) to the terminals, which may be located in 3D space and may have extremely limited direct-line-of-view (LoV) due to blocking objects, like buildings and trees. In this paper, we investigate the problem of determining 3D placement and orientation of UAVs such that users have guaranteed LoS coverage by at least one UAV and the signal-to-noise ratio (SNR) between the UAV-user pairs are maximized. We formulate the problem as an integer linear programming(ILP) problem and prove its NP-hardness. Next, we propose a low-complexity geometry-based greedy algorithm to solve the problem efficiently. Our simulation results show that the proposed algorithm (almost) always guarantees LoS coverage to all users in all considered simulation settings.
翻译:无人驾驶航空飞行器(UAVs)是空基基地站,是提供无线通信的一个很有希望的解决办法,因为它们具有高度的灵活性和自主性。此外,新的服务,如扩展现实等,需要高容量通信。为了实现这一点,已经考虑对UAV通信采用毫米波(mmWave),最近还考虑采用梯赫兹波。然而,这些高频率的通信需要向终端提供直线(LOS)通信,因为终端可能位于3D空间,并且由于建筑物和树木等屏蔽物体,直线视线(LOV)可能非常有限。在本文件中,我们研究了确定3D定位和定位的问题,例如扩展现实,需要高容量通信。为了实现这一点,用户至少保证了一台UAVS(mmWave)和UAV-用户配对的信号到噪音比率(SNRRR)的覆盖率。我们把问题描述成一个整线性线(LIP)问题,并证明它的NP-硬性。我们提出了一种低兼容性基于地测量的贪婪算法,以便有效解决问题。我们所作的模拟结果显示,所有用户总是保证在模拟环境中的覆盖。