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The Energy-Efficient UAV-Based BS Coverage in Air-to-Ground Communications

机译:空对地通信中的节能UV基于的BS覆盖范围

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With the increasing trend of unmanned aerial vehicles (UAVs) applications, UAV-based base station (BS) has gained significant popularity for rapid deployable networks. Compared with the fixed infrastructure that could be severally disrupted in the case of natural disasters, the UAV-based BSs are easily for deployment and can provide the emergency communication in the target areas. In addition, for the limited power supply in UAV, energy-efficient transmission is also essential in the wireless coverage. Accordingly, in this paper we focus our attention on the maximization of the coverage for UAV-based BS under the constraint of the transmitting power. By modeling the wireless channel in low altitude and setting up the relationship between the antenna beam angle and antenna gain, we formulate the energy-efficient coverage problem as the 2-dimensional optimization equation respected to the flight altitude and beam angle. In this way, according to the transmitting power allocation (adjusting the antenna beam angle) and UAV deployment (setting the suitable flight altitude), we can maximize the coverage area with the limited power supply. The simulation results also verify the effectiveness of the optimization.
机译:随着无人驾驶飞行器(无人机)应用的越来越趋势,基于UAV的基站(BS)对快速部署网络获得了重大普及。与在自然灾害的情况下可能会严重中断的固定基础设施相比,基于UV的BSS很容易进行部署,并且可以提供目标区域中的紧急通信。此外,对于UAV的有限电源,节能传输在无线覆盖范围内也是必不可少的。因此,在本文中,我们将注意力集中在发射功率约束下基于UAV的BS的覆盖范围的最大化。通过在低空中建模无线信道并设置天线波束角度和天线增益之间的关系,我们将节能覆盖问题标制作出在飞行高度和光束角度的二维优化方程中的节能覆盖问题。以这种方式,根据发射功率分配(调整天线波束角)和UAV部署(设置合适的飞行高度),我们可以最大化具有有限电源的覆盖区域。仿真结果还验证了优化的有效性。

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