Collaborative Computation Offloading, Caching, Communication, Computation, and Trajectory Control in UAV-Assisted MEC System

Unmanned aerial vehicles (UAVs)-assisted mobile edge computing (MEC) is becoming a promising paradigm to provide flexible services in close proximity to user equipments (UEs). However, satisfying the delay-sensitive and computation-intensive requirements of the UEs could face several challenges, including the limited communication, computation, and caching (3C) resources, heterogeneous offloading requirements for 3C services, as well as constrained on-board energy of UAVs. To address these issues, we propose a collaborative computation offloading, caching, communication resource allocation, computing resource allocation, and UAV trajectory control (C-6) algorithm. Moreover, simulation results demonstrate that the proposed approach can achieve superior system performance compared to the benchmark schemes.