Computation Task Offloading for Minimizing Energy Consumption with Mobile Edge Computing

Abstract

Mobile edge computing (MEC) is envisioned as a promising technology for enhancing the computation capacities and prolonging the lifespan of mobile devices. In this paper, we study a single mobile user MEC system in which each base station is integrated with a MEC server in executing intensive computation tasks. The mobile user’s computation tasks can be partied into several parts to be offloaded to different MEC servers simultaneously. The mobile user’s energy consumption is minimized with the constraints of power and latency, and an iterative scheme is proposed to solve the optimization problem. The numerical results demonstrate the effectiveness of the proposed scheme.