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Energy harvesting and information transmission scheme with UAV relay cooperation
EURASIP Journal on Wireless Communications and Networking ( IF 2.6 ) Pub Date : 2019-12-19 , DOI: 10.1186/s13638-019-1598-7
Baofeng Ji , Zhenzhen Chen , Yuqi Li , Sudan Chen , Guoqiang Zheng , Hong Wen

This paper proposed a system architecture model of two-hop unmanned aerial vehicle (UAV) relay wireless communication and designed an energy harvesting and information transmission algorithm based on the energy harvested by UAV relay node. The energy of nodes except source node can be obtained by energy harvesting and all the UAV relay nodes transmitted signals via power splitting. Under the advance of non-static channel, the information user nodes were configured with multiple antennas and adopted max ratio combination (MRC). Based on the optimization criterion of energy efficiency maximization, the analytical solution of the optimal power allocation scheme for energy harvested and information transmission of multi-user two-UAV relay system was derived in detail. Since the optimization problem was a non-convex problem, this paper adopted the high signal-to-noise ratio approximation method and the power splitting method to realize the closed-form solution expression. The optimal solution of the objective function subjected with constraints can be obtained by Lagrangian algorithm and Lambert W function. Finally, the proposed algorithms and theoretical analysis are verified by simulations.

中文翻译:

与无人机中继合作的能量收集和信息传输方案

提出了两跳无人机中继无线通信的系统架构模型,并设计了基于无人机中继节点能量采集的能量采集与信息传输算法。除源节点外,其他节点的能量均可通过能量收集获得,所有无人机中继节点均通过功率分配传输信号。随着非静态信道的发展,信息用户节点配置了多根天线,并采用了最大比率组合(MRC)。根据能量效率最大化的优化准则,详细推导了多用户两UAV中继系统能量收集和信息传输的最优功率分配方案的解析解。由于优化问题是非凸问题,本文采用高信噪比逼近法和功率分配法来实现闭式解表达式。可以通过拉格朗日算法和朗伯W函数获得约束条件下目标函数的最优解。最后,通过仿真验证了所提出的算法和理论分析。
更新日期:2019-12-19
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