Computing Resource Allocation in Mobile Edge Networks Based on Game Theory

Abstract

Mobile Edge Computing (MEC), as a new computing mode, can deploy computing tasks on the edge of the network of terminal devices, which can effectively reduce latency and energy consumption pressure. This paper studied how to allocate computing resources on mobile edge networks, through a bundle of bandwidth and computing frequency. The reasonable allocation of resources is realized by means of adjusting resource price by MEC server and users competing to purchase resources. Complete information game theory is applied and moved the edge network abstraction into Stackelberg model, then proves the existence of Nash equilibrium, and the model obtained the optimal resource allocation strategy. Simulation results show the rationality and effectiveness of the model.