A distributed ADMM approach for energy-efficient resource allocation in mobile edge computing

Abstract

Mobile edge computing (MEC) is a new promising technique to provide cloud-computing capabilities atthe edge of cellular networks in close proximity to mobile users. In this paper, we consider joint optimization of thecommunication and computation resources in a multiuser, multiserver MEC system. The objective of this optimizationproblem is to minimize the total energy consumption of mobile devices under the time-sharing constraint. Given thefact that no coordination is involved between mobile devices, we propose a light-weight and decentralized algorithmbased on the alternating direction method of multipliers (ADMM) framework. Experimental results demonstrate thatthe proposed algorithm performs well in terms of convergence and outperforms the conventional centralized approach.