Unmanned aerial vehicle-aided communication (UAB-BS) is a promising solution to establish rapid wireless connectivity in sudden/temporary crowded events because of its more flexibility and mobility features than conventional ground base station (GBS). Because of these benefits, UAV-BSs can easily be deployed at high altitudes to provide more line of sight (LoS) links than GBS. Therefore, users on the ground can obtain more reliable wireless channels. In practice, the mobile nature of the ground user can create uneven user density at different times and spaces. This phenomenon leads to unbalanced user associations among UAV-BSs and may cause frequent UAV-BS overload. We propose a three-dimensional adaptive and fair deployment approach to solve this problem. The proposed approach can jointly optimize the altitude and transmission power of UAV-BS to offload the traffic from overloaded UAV-BSs. The simulation results show that the network performance improves by 37.71% in total capacity, 37.48% in total energy efficiency and 16.12% in the Jain fairness index compared to the straightforward greedy approach.
翻译:无人驾驶的飞行器辅助通信(UAB-BS)是一个大有希望的解决办法,在突发/临时拥挤事件中建立快速无线连接,因为其灵活性和机动性比常规地面基地站(GBS)更强。 由于这些好处,无人驾驶飞行器辅助通信(UAB-BS)可以很容易地部署在高空,以提供比GBS更多的视线连接。因此,地面用户可以获得更可靠的无线频道。在实践中,地面用户的移动性质在不同的时间和空间造成用户密度不均匀。这种现象导致无人驾驶飞行器-BS之间的用户联系不平衡,并可能导致UAV-BS经常超载。我们建议了一种三维适应和公正的部署方法来解决这一问题。拟议办法可以共同优化无人驾驶飞行器-BS的高度和传输能力,以卸载超载超载的UAV-BS的交通。模拟结果显示,与直率贪婪方法相比,网络性能总容量提高了37.71%,总能效提高了37.48%, Jain公平指数提高了16.12%。