An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks
An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks
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DOI：
10.1109/tgcn.2019.2892141
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发表时间：
2019-01
影响因子：
4.8
通讯作者：
Jacob Chakareski;Syed Naqvi;Nicholas Mastronarde;Jie Xu;F. Afghah;Abolfazl Razi
中科院分区：
文献类型：
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作者：
Jacob Chakareski;Syed Naqvi;Nicholas Mastronarde;Jie Xu;F. Afghah;Abolfazl Razi
研究了在微波宏基站覆盖范围内，由无人机小基站和地面双模毫米波小区组成的多频段异质网络中下行链路的传输问题。我们设计了一个双层优化框架，在满足最小服务质量和最大发射功率的约束下，同时为无人机寻找有效的覆盖半径，并为网络进行节能的无线资源管理。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。内层制定了最大化系统能量效率(EE)的优化问题，该能量效率定义为系统提供的总用户数据速率与其总能量消耗(下行链路传输和电路功率)之间的比率。我们证明了在目标SINR$\tau$的特定值下，引入无人机基站可以使EE加倍。我们还表明，当$\tau$增加到超过最优EE点时，EE会降低。
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 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 $\tau $ introducing the UAV base stations doubles the EE. We also show that an increase in $\tau $ beyond an optimal EE point decreases the EE.