Abstract: Aiming at low energy efficiency and single energy service of resource-constrained terminal devices caused by intensive computing tasks offloading in mobile edge computing (MEC), a system energy efficiency optimization scheme based on energy harvesting is proposed. Firstly, the energy harvesting status and power allocation of users are analyzed under the constraints of offloading transmission power and so on, and a joint optimization model is established to maximize system energy efficiency. Secondly, the offloading energy efficiency is transformed into standard convex optimization by the generalized fractional programming theory, and the objective function is iteratively optimized by setting the Lagrange function to obtain the optimal energy indicator variable and power allocation. Simulations show that the proposed scheme can effectively improve the energy efficiency of users in MEC system, and guarantee the quality of service (QoS) of users, achieve the green communication simultaneously.

Key words: mobile edge computing, energy harvesting, computation offloading, energy efficiency, convex optimization