Abstract: Existing edge computing researches focus on wireless resource allocation and computational resource allocation. However, the research on cooperative computing in user aggregation scenarios is ignored. Aiming at this problem, this paper proposes a hierarchical computation offloading strategy for user aggregation scenarios. The strategy adopted FSA-MCS to solve the problem of offloading node selection for user terminals under multiple base station signal coverage, and designed a heuristic regional computational offloading algorithm with a hierarchical structure, which was able to effectively increase the number of tasks completed within a limited time under user aggregation scenarios and reduce the total user offloading delay. The experimental results show that compared with other offloading methods, this strategy increases the successful computation completion rate of user tasks within the limited time by up to 32.7 percentage points and reduces the total offloading delay by up to 43.3%.