With the high mobility, flexibility and manoeuvrability, unmanned aerial vehicles (UAVs)-enabled mobile edge computing (MEC) plays an important role in many applications that lack of available terrestrial infrastructures, such as disaster response, emergency relief and military scenarios. However, the high mobility of UAVs may severely degrade the implementation of UAV-enabled MEC in computation-intensive or delay-sensitive scenarios from a physical layer signalling perspective, e.g. frequency selective fading effect caused by the low altitude and low elevation angle routes of UAVs. In this study, a generalised weighted-type fractional Fourier transform (GWFRFT) based signal energy-spreading transmission (EST) scheme is proposed for signalling and quality of service (QoS) provisioning for UAV-enabled MEC. In the proposed scheme, the communication signal energy is redistributed evenly at the time-frequency plane to enhance the robustness of UAV communications against the severe fading channels. The signalling provisioning mechanism of the GWFRFT-EST scheme is analysed and simulated under poor air-to-ground channels with low Rician K -factor. Simulation results show that the proposed method greatly improves the bit error rate performance with a negligible computational complexity increase.

中文翻译：

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增强了无人机功能的MEC的信令配置：基于GWFRFT的能量扩展传输方法

凭借高机动性，灵活性和可操纵性，支持无人机的移动边缘计算（MEC）在许多缺乏可用地面基础设施的应用中扮演着重要角色，例如灾难响应，紧急救援和军事场景。但是，从物理层信令的角度来看，UAV的高移动性可能会严重降低计算密集型或时延敏感场景中启用UAV的MEC的实现，例如，UAV的低海拔和低仰角路线引起的频率选择性衰落效应。在这项研究中，提出了一种基于通用加权类型的分数阶傅里叶变换（GWFRFT）的信号能量扩展传输（EST）方案，用于支持UAV的MEC的信令和服务质量（QoS）设置。在建议的方案中，通信信号能量在时频平面上均匀地重新分配，以增强UAV通信抵御严重衰落信道的鲁棒性。在低Rician的空对地信道下，分析和仿真了GWFRFT-EST方案的信令提供机制ķ -因子。仿真结果表明，该方法大大提高了误码率性能，而计算复杂度却可以忽略不计。