无人机辅助蜂窝通信中吞吐量最大化的无人机部署

Nishant Gupta, S. Agarwal, Deepak Mishra
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引用次数: 7

摘要

在第五代(5G)通信系统中,无人机(UAV)作为空中基站部署,已成为在地理区域内提供无缝通信的热门技术。无人机的高机动性潜力为有效部署提供了额外的自由度。因此,无人机的三维部署是无人机辅助通信系统的关键挑战之一。在本文中,我们解决了无人机在三维空间中的部署问题,为地面用户提供按需覆盖,以最大限度地提高总和率。我们考虑了实际的无人机地面通道模型,该模型是通过大量的实验得出的。所表述的问题是非凸的。为了获得最优位置,我们采用近似率表达式来识别凹区域,并采用交替优化提出了一种低复杂度的求解方法。通过仿真结果,我们为低复杂度解决方案提供了有价值的见解。
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 for Throughput Maximization in a UAV-Assisted Cellular Communications
Unmanned Aerial Vehicle (UAV) deployment as an aerial base station in fifth-generation (5G) communication system has emerged as a promising technology to provide seamless communication in a geographical region. The UAV’s high mobility potential offers additional degrees of freedom for effective deployment. Therefore, the three-dimensional (3D) deployment of UAV is one of the key challenges in UAV-assisted communication systems. In this paper, we address the problem of UAV deployment in 3D space to provide on-demand coverage to the ground users to maximize the sum rate. We consider realistic UAV-ground channel model derived from extensive experiments. The problem formulated is non-convex. To obtain the optimal location, we approximate the rate expression to identify the concave regions and propose a low-complexity solution by applying alternating optimization. Through simulation results, we provide valuable insights into the low-complexity solution.
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