论文标题

具有混合RF-FSO通道的基于无人机的继电器网络的奇异总和率分析

Ergodic Sum Rate Analysis of UAV-Based Relay Networks with Mixed RF-FSO Channels

论文作者

Ajam, Hedieh, Najafi, Marzieh, Jamali, Vahid, Schober, Robert

论文摘要

基于无人机(UAV)的无人机通信是一项有希望的新技术,可以为当前的网络基础架构增加广泛的新功能。鉴于无人机的灵活性,成本效益和方便使用,可以将它们作为临时基站(BSS)部署,以应对BS过载或自然灾害等按需情况。在这项工作中,考虑了带有射频(RF)访问链接的基于无人机的通信系统(MUS)和一个自由空间光学(FSO)回程链接到地面站(GS)。特别是,该网络中的RF和FSO通道取决于无人机的定位和(在)稳定性。无人机相对于MUS的相对位置会影响RF链路中视线(LOS)连接的可能性,而悬停无人机的不稳定性会影响FSO通道的质量。因此,考虑到这些效果,我们分析了采用无人机作为缓冲区(BA)和非缓冲器(非BA)继电器的网络的端到端系统性能。仿真结果验证了所提出的分析推导的准确性,并揭示了缓冲的好处,以补偿由无人机的不稳定性引起的随机波动。我们的仿真还表明,可以通过优化无人机的定位来大大提高BA和非BA UAV的继电器的梯形总和率。我们进一步研究了MU密度和天气条件对端到端系统性能的影响。

Unmanned aerial vehicle (UAV)-based communications is a promising new technology that can add a wide range of new capabilities to the current network infrastructure. Given the flexibility, cost-efficiency, and convenient use of UAVs, they can be deployed as temporary base stations (BSs) for on-demand situations like BS overloading or natural disasters. In this work, a UAV-based communication system with radio frequency (RF) access links to the mobile users (MUs) and a free-space optical (FSO) backhaul link to the ground station (GS) is considered. In particular, the RF and FSO channels in this network depend on the UAV's positioning and (in)stability. The relative position of the UAV with respect to the MUs impacts the likelihood of a line-of-sight (LOS) connection in the RF link and the instability of the hovering UAV affects the quality of the FSO channel. Thus, taking these effects into account, we analyze the end-to-end system performance of networks employing UAVs as buffer-aided (BA) and non-buffer-aided (non-BA) relays in terms of the ergodic sum rate. Simulation results validate the accuracy of the proposed analytical derivations and reveal the benefits of buffering for compensation of the random fluctuations caused by the UAV's instability. Our simulations also show that the ergodic sum rate of both BA and non-BA UAV-based relays can be enhanced considerably by optimizing the positioning of the UAV. We further study the impact of the MU density and the weather conditions on the end-to-end system performance.

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