Position based Throughput Maximization of Multi-UAV-assisted Relay Networks

S. Singh, Kamal Agrawal, Keshav Singh, Chih-Peng Li, Wan-Jen Huang
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Abstract

In this work, we investigate the performance of best downlink signal to noise ratio (BDS) based unmanned aerial vehicle (UAV) selection scheme in multi-UAV relaying network, where multiple UAVs assist the communication between two ground users (GUs). Firstly, the best UAV is selected using BDS based selection criterion, then, the closed form expressions for the outage probability and throughput of the multi-UAV assisted relay network are derived considering Nakagami-m distributed fading channels. Furthermore, an optimization problem is formulated to ensure maximum system throughput performance by finding the optimal 3D-coordinates (position) of the selected UAV. In addition to this, we derive an upper bound to the system throughput which simplifies the optimization problem and is used in finding a sub-optimal solution to the optimization problem. By Monte Carlo simulation, we validate all the results.
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多无人机辅助中继网络基于位置的吞吐量最大化
在这项工作中,我们研究了多无人机中继网络中基于最佳下行信噪比(BDS)的无人机(UAV)选择方案的性能,其中多架无人机辅助两个地面用户(GUs)之间的通信。首先,利用基于BDS的选择准则选择最佳无人机,然后推导了考虑Nakagami-m分布式衰落信道的多无人机辅助中继网络中断概率和吞吐量的封闭表达式。在此基础上,通过求解所选无人机的最优三维坐标(位置),建立了保证系统最大吞吐量性能的优化问题。此外,我们导出了系统吞吐量的上界,简化了优化问题,并用于寻找优化问题的次优解。通过蒙特卡罗模拟,验证了所有结果。
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