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Cellular networks equipped with mobile edge computing (MEC) servers can bebeneficial for unmanned aerial vehicles (UAVs) with limited onboard computationpower and battery life-time. In this paper, we compare energy consumption of aUAV connected to cellular MEC servers in various possible scenarios such asonboard/MEC processing or parallel computation. Using detailed 3GPP-basedmodelings, we provide quantitative understanding of the most energy efficientapproach and its relation with communication technologies, computation factors,and mobility parameters. Our findings show that, across the differentfrequencies from sub-6GHz to THz bands, the mmWave cellular MEC network is moreenergy efficient than UAV's onborad processing for a broader range of networkdensities. Secondly, while the UAV propulsion power consumption isnon-decreasing function of velocity, the UAV movement cost yet can be optimizedto further provide remarkable energy savings as compared to hovering. Finally,our results show that the most energy efficient approach can be obtained ifmobility of UAV is combined with efficient parallel onboard-MEC processing.

UAVs over mmWave/THz Cellular MEC Networks: A Comparative Study for Energy Efficiency