论文标题
MMWave/THZ细胞MEC网络上的无人机：能源效率的比较研究
UAVs over mmWave/THz Cellular MEC Networks: A Comparative Study for Energy Efficiency
论文作者
论文摘要
配备有移动边缘计算（MEC）服务器的蜂窝网络可能对无人机（UAV）有益，而车载计算功率和电池寿命有限。在本文中，我们比较在各种可能的情况下，例如机上/MEC处理或并行计算，将无人机与蜂窝MEC服务器连接的无人机消耗进行了比较。使用基于3GPP的详细模型，我们对最节能方法及其与通信技术，计算因子和移动性参数的关系提供定量理解。我们的发现表明，在从Sub-6GHz到THZ频段的不同频率中，MMWave蜂窝MEC网络比无人机的OnBorad Processing对于更广泛的网络密度更加节能。其次，虽然无人机推进功耗是速度的不稳定功能，但与悬停相比，无人机运动成本可以优化，以进一步提供可观的节能。最后，我们的结果表明，如果将无人机的迁移率与有效的平行板上MEC处理相结合，则可以获得最节能的方法。
Cellular networks equipped with mobile edge computing (MEC) servers can be beneficial for unmanned aerial vehicles (UAVs) with limited onboard computation power and battery life-time. In this paper, we compare energy consumption of a UAV connected to cellular MEC servers in various possible scenarios such as onboard/MEC processing or parallel computation. Using detailed 3GPP-based modelings, we provide quantitative understanding of the most energy efficient approach and its relation with communication technologies, computation factors, and mobility parameters. Our findings show that, across the different frequencies from sub-6GHz to THz bands, the mmWave cellular MEC network is more energy efficient than UAV's onborad processing for a broader range of network densities. Secondly, while the UAV propulsion power consumption is non-decreasing function of velocity, the UAV movement cost yet can be optimized to further provide remarkable energy savings as compared to hovering. Finally, our results show that the most energy efficient approach can be obtained if mobility of UAV is combined with efficient parallel onboard-MEC processing.
