论文标题
基于无人机的HETNET的能源效率和悬停时间优化
Energy Efficiency and Hover Time Optimization in UAV-based HetNets
论文作者
论文摘要
在本文中,我们研究了三层异质网络(HETNET)的下行性能。目的是通过部署无人驾驶汽车(UAV)作为飞行基站和小牢房(SC)来增强宏观电池的边缘容量,以提高诸如临时热点地区或灾难情况之类的场景中室内用户的容量,以提高陆地网络的能力。无人机是能源受限的设备,飞行时间有限,因此,我们制定了两层优化方案,在该方案中,我们首先优化了每个层的功耗,以在最低服务质量(QOS)要求下增强系统能源效率(EE),并随后优化了无与伦比的平均悬停时间。我们通过首先利用Lagrange乘数方法,然后实现获得收敛的次级方法来获得这些非线性约束优化问题的解决方案。结果表明,通过最佳功率分配,与将最大功率分配给用户(地面蜂窝用户或连接的车辆)相比,系统EE可显着提高。悬停时间优化导致无人机的飞行时间增加,从而在更长的时间内提供服务。
In this paper, we investigate the downlink performance of a three-tier heterogeneous network (HetNet). The objective is to enhance the edge capacity of a macro cell by deploying unmanned aerial vehicles (UAVs) as flying base stations and small cells (SCs) for improving the capacity of indoor users in scenarios such as temporary hotspot regions or during disaster situations where the terrestrial network is either insufficient or out of service. UAVs are energy-constrained devices with a limited flight time, therefore, we formulate a two layer optimization scheme, where we first optimize the power consumption of each tier for enhancing the system energy efficiency (EE) under a minimum quality-of-service (QoS) requirement, which is followed by optimizing the average hover time of UAVs. We obtain the solution to these nonlinear constrained optimization problems by first utilizing the Lagrange multipliers method and then implementing a sub-gradient approach for obtaining convergence. The results show that through optimal power allocation, the system EE improves significantly in comparison to when maximum power is allocated to users (ground cellular users or connected vehicles). The hover time optimization results in increased flight time of UAVs thus providing service for longer durations.