Anchor: A Novel Modeling Methodology for Cooperative UAV-MEC Based on Stochastic Geometry

Unmanned aerial vehicles (UAVs) play a vital role in the air-to-ground integrated network, which can offer a mobile edge computing (MEC) environment closer to terrestrial user equipments (UEs). This integrated network faces the challenges of unstable links and node mobility. It is urgent to rethink the UAV-assisted MEC architecture to satisfy the requirements of reliable and low-latency communication in dynamic scenarios. This paper proposes a novel dynamic cooperative offloading model for UAV swarms based on Delaunay triangulation, where each UE offloads its data to a triangular cell composed of three UAVs for joint processing. Then, we propose a novel and efficient cooperative handoff mechanism and an innovative analysis method to well tackle the mobility characteristics of UAV s. Finally, we design a performance evaluation method for UAV cooperative task offloading by leveraging the stochastic geometry analysis framework. The simulation and numerical results verify the correctness and practicability of the proposed model and analysis method. Compared to conventional cooperative and non-cooperative offloading mechanisms, our approach achieves an average performance improvement of 20% and 30%, respectively.