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Mobility Dependent Hybrid RF/FSO Backhaul in UAV Assisted Cellular Networks

机译:无人机辅助蜂窝网络中依赖于移动性的混合RF / FSO回程

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The increasing trend of employing unmanned air vehicles (UAVs) as movable base stations (MBSs) holds a great potential of enhancing the performance of a cellular network at a cell edge. The performance is generally enhanced to either accommodate more users or to optimize the throughput of existing ones. One of the paramount challenges of deploying an MSB-based cellular network is to design a stable backhaul connection of the MBS with the ground base station (BS). This paper proposes a hybrid backhaul based on radio frequency (RF) and free space optical (FSO) communication, where the decision to choose between RF and FSO depends on mobility of the MBS. In particular, an analytical framework to model the mobility of a MBS is proposed wherein the probability to fly or to stop is estimated. In addition, analytical expressions for the bit error rate (BER) of RF-only backhaul, FSO-only backhaul and mobility-dependent hybrid RF/FSO backhaul are derived and substantiated through Monte Carlo simulation results.
机译:将无人飞行器(UAV)用作可移动基站(MBS)的增长趋势具有增强在小区边缘的蜂窝网络性能的巨大潜力。通常会提高性能,以容纳更多用户或优化现有用户的吞吐量。部署基于MSB的蜂窝网络的首要挑战之一是设计MBS与地面基站(BS)的稳定回程连接。本文提出了一种基于射频(RF)和自由空间光(FSO)通信的混合回程,其中在RF和FSO之间进行选择的决定取决于MBS的移动性。特别地,提出了一种用于对MBS的移动性进行建模的分析框架,其中,估计了飞行或停止的概率。此外,还通过蒙特卡罗仿真结果推导并证实了仅RF回程,仅FSO回程和依赖于移动性的混合RF / FSO回程的误码率(BER)的解析表达式。

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