Completion Time Minimization for UAV-Assisted Mobile-Edge Computing Systems

The explosive computation demands in the Internet of Things (IoT) have triggered research interests on unmanned aerial vehicle (UAV) assisted mobile-edge computing (MEC) systems even though there are still many challenges, such as delay requirement, multi-UAV cooperation, and resource management. This letter focuses issue MEC by multiple UAVs with goal task completion time minimization. In particular, both partial offloading binary modes considered jointly optimizing slot size, terminal devices scheduling, allocation, UAVs’ trajectories. Particularly, an non-LoS channel model is adopted for UAV-ground communication. To handle formulated problems, we develop alternating optimization algorithms invoking successive convex approximation method, Karush-Kuhn-Tucker conditions penalized method. Numerical results show that significantly decreased proposed algorithms.