Energy-Efficient UAV Deployment with Flexible Functional Split Selection

Liumeng Wang, Sheng Zhou
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引用次数: 11

Abstract

In this paper, we consider the deployment of unmanned aerial vehicles (UAVs) along a straight road, and aim to minimize the total energy consumption of UAVs, including the baseband processing energy, the wireless fronthauling energy and the constant circuit energy. Specifically, the horizontal location, vertical location, coverage radius and the functional split scheme selection of UAVs are jointly optimized. Both the user data rate and the total delay consisting of baseband processing and fron-transmission are guaranteed. To reduce the optimization complexity, we further derive the upper and lower bounds of the optimal number of UAVs. Numerical results show that, with flexible functional split, the energy consumption of UAVs can be considerably reduced compared with fixed functional split. We also observe that more baseband functions should be placed at the UAV side when the distance between the UAV and the baseband units (BBU) on the ground is larger,
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具有灵活功能拆分选择的高效节能无人机部署
在本文中,我们考虑沿直线道路部署无人机,以最小化无人机的总能耗为目标,包括基带处理能量、无线前移能量和恒电路能量。具体而言,对无人机的水平定位、垂直定位、覆盖半径和功能拆分方案选择进行了联合优化。用户数据速率和基带处理和前端传输的总延时都得到了保证。为了降低优化复杂度,进一步推导了最优无人机数量的上界和下界。数值计算结果表明,与固定的功能分裂相比,柔性功能分裂可以显著降低无人机的能耗。我们还观察到,当无人机与地面基带单元(BBU)之间的距离较大时,应该在无人机侧放置更多的基带功能;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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