A Delay and Energy Consumption Efficient Offloading Algorithm in Mobile Edge Computing System

With the rapid development of mobile Internet and increasing numbers of mobile devices, mobile edge computing (MEC) which offers computational capability within radio access network has become the key technology to enhance users' experience. In this paper, we investigate the computing offloading problem considering delay and energy consumption of mobile devices jointly in wireless access network. Then, the optimization problem minimizing the delay and energy consumption of mobile devices is formulated and transformed into convex optimization. To solve the optimization, a delay and energy consumption efficient offloading algorithm (DEOA) based on alternating direction method of multipliers (ADMM) is proposed. The simulation results show that the proposed algorithm significantly reduces delay and energy consumption compared to stochastic allocation. Meanwhile, compared with joint delay and energy efficient offloading scheme (JCDE) proposed in another paper, the consumption is reduced while the average speed of solution is increased by about 65% under various system parameters.