Energy-Efficient Optimization for UAV-Aided Cellular Offloading

Energy-Efficient Optimization for UAV-Aided Cellular Offloading
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无人机辅助蜂窝卸载的节能优化

DOI:
10.1109/lwc.2019.2891727
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发表时间:
2019-01
影响因子:
6.3
通讯作者:
Yang Luxi
Yang Luxi
中科院分区:
计算机科学2区
文献类型:
--
作者:
Hua Meng;Wang Yi;Li Chunguo;Huang Yongming;Yang Luxi

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本文研究了一种节能的无人机辅助蜂窝网络,无人机被调度到蜂窝网络中的边缘用户,并通过环形路径飞行来帮助卸载基站的数据,目标是通过联合优化资源分配、用户划分和无人机轨迹来最大化无人机的能量效率。该问题表现为复杂的非凸形式,难以处理。为此,原问题首先分解成两个子问题,然后利用块坐标下降法,这导致了一个有效的迭代算法。仿真结果表明,该方案在无人机的能量效率方面优于基准。
This letter studies an energy-efficient unmanned aerial vehicle (UAV)-aided cellular network, where the UAV is dispatched to serve cell edge users in cellular network and helps offload data from the base station by flying with circle path. The goal of this letter is to maximize the energy efficiency of UAV by jointly optimizing resource allocation, user partitioning and UAV trajectory. The formulated problem is shown in a complicated and non-convex form, which is hard to tackle. To this end, the original problem is first decomposed into two sub-problems and then a block coordinate descent method is leveraged, which leads to an efficient iterative algorithm. Simulation results show that the proposed scheme outperforms the benchmarks in terms of the energy efficiency of UAV.
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