Design of task offloading algorithm for mobile edge computing network based on UAV
Ling Xu, Keneng Qian, Mingkai Cai, Ye Zhang · 2024
This paper optimizes system performance in a UAV-based multi-user mobile edge computing system through joint design of UAV positions, computing service pricing, and user task offloading strategies. The Stackelberg model is used to optimize the interaction between ground users and UAVs . UAVs maximize revenue through pricing, while ground users minimize costs through task offloading strategies. This paper simplifies the problem by assuming known UAV positions. The pricing and task offloading subproblems are solved by obtaining the equilibrium solution of the game model. The UAV positioning subproblem is solved using a genetic algorithm, resulting in suboptimal solutions for the original problem through iterative iterations. The simulation results show that the algorithm leads to higher UAV revenue and reduced user latency.