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An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks

机译:无人机辅助毫米波5G异构蜂窝网络的节能框架

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摘要

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 (μW) 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 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 τ introducing the UAV base stations doubles the EE. We also show that an increase in τ beyond an optimal EE point decreases the EE.
机译:我们研究了包括无人飞行器(UAV)小型基站和微波(μW)宏基站覆盖范围内的地面双模mmWave小型小区在内的多频带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,以在不影响最低服务质量和最大传输功率的前提下,同时为无人机找到有效的覆盖半径和网络的节能无线电资源管理。外层根据最大允许路径损耗得出每个无人机的最佳覆盖半径/高度。内层提出了一个优化问题,以最大程度地提高系统能效(EE),系统能效(EE)定义为系统传递的总用户数据速率与其总能耗(下行链路传输和电路功率)之间的比率。我们证明,在引入无人机天线的目标SINRτ的某些值下,EE会翻倍。我们还表明,超过最佳EE点的τ的增加会降低EE。

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