An Effective Resource Allocation Approach Based on Game Theory in Mobile Edge Computing

As a promising technology, mobile edge computing (MEC) can provide an IT service environment and cloud-computing capabilities at the edge of the mobile network, and also can reduce latency, improve user experience. In this paper, we have proposed a MEC system consisting of one privately service provider (SP) and multiple mobile users (MU). A game theory approach for resource allocation optimization is proposed to analyze the interaction between the leader SP and the followers MUs. We have introduced the congestion factor between different MUs. In addition, we prove the existence of the Nash equilibrium (NE) by game theory method and design an efficient the best response (BR) algorithm to solve this problem. An optimal equilibrium strategy can be obtained by the BR algorithm, and experiment results have demonstrated the efficiency and feasibility of the algorithm.