Energy Efficiency Analysis of UAV-Assisted mmWave HetNets

Syed Naqvi, Jacob Chakareski, Nicholas Mastronarde, J. Xu, F. Afghah, A. Razi
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引用次数: 12

Abstract

We study downlink transmission in a multi-band heterogeneous network comprising unmanned aerial vehicle (UAV) small base stations and ground-based dual mode mmWave small cells within the coverage area of a microwave ($\mu W$) macro base station. We formulate a two-layer optimization framework to simultaneously find efficient coverage radius for the UAVs and energy efficient radio resource management for the network, subject to minimum quality-of-service (QoS) and maximum transmission power constraints. The outer layer derives an optimal coverage radius/height for each UAV as a function of the maximum allowed path loss. The inner layer formulates an optimization problem to maximize the system energy efficiency (EE), defined as the ratio between the aggregate user data rate delivered by the system and its aggregate energy consumption (downlink transmission and circuit power). We demonstrate that at certain values of the target SINR $\displaystyle \tau$ introducing the UAV base stations doubles the EE. We also show that an increase in $\displaystyle \tau$ beyond an optimal EE point decreases the EE.
无人机辅助毫米波HetNets的能效分析
我们研究了在微波($\mu W$)宏基站覆盖区域内由无人机(UAV)小型基站和地面双模毫米波小型蜂窝组成的多频段异构网络中的下行链路传输。我们制定了一个两层优化框架,以同时找到无人机的有效覆盖半径和网络的节能无线电资源管理,受最低服务质量(QoS)和最大传输功率约束。外层导出每个无人机的最佳覆盖半径/高度作为最大允许路径损失的函数。内层设计了一个优化问题,以最大限度地提高系统的能效(energy efficiency)。能效定义为系统发送的总用户数据速率与其总能耗(下行传输和电路功率)之比。我们证明,在一定的目标SINR $\displaystyle \tau$值下,引入无人机基站使EE翻倍。我们还表明,$\displaystyle \tau$超过最佳EE点的增加会降低EE。
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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