Multi-leader Multi-follower Stackelberg Game based Resource Allocation in Multi-access Edge Computing
Ting Lyu, Haitao Xu, Zhu Han
Abstract
In this paper, we propose a multi-leader multi-follower Stackelberg game model for the resource allocation problem between edge nodes and terminal users in the multi-access edge computing system. In the proposed model, the edge nodes can set the price of edge computing resources according to the strategies of other nodes and predict users’ behaviors. Subsequently, the terminal users can choose their optimal strategies based on the price strategies of edge nodes. A game theory based algorithm is proposed to find the optimal pricing strategies and optimal resource allocation solutions by solving the Nash equilibriums, so that the benefits of both edge nodes and terminal users are optimally satisfied. Simulation results show that the proposed approach yields a high utility at the equilibrium.