Abstract: In order to ensure the multi-user mobile edge computing (MEC) network based on simultaneous wireless information and power transfer (SWIPT), the delay and energy consumption during the offloading process can be minimized under the condition of limited channel resources.This paper proposes a multi-task hierarchical processing mechanism (MHPM) by planning the offloading ratio of computing tasks and the channel allocation during the link transmission ,which realizes the rational scheduling of channel resources in the process of computing offloading.According to the average time consumption and energy consumption of mobile equipment in the process of MEC offloading, a mathematical model of constrained multi-objective optimization problem was established, and the model was solved by combining MHPM and sorting genetic algorithm ⅱ optimization algorithm, which maximized the relationship between device delay and energy consumption.Simulation results show that MHPM can reduce the average time consumption and energy consumption of equipment in offloading process, and the optimal solution of objective function can be obtained by using constrained multi-objective optimization algorithm.

Key words: simultaneous wireless information and power transfer, mobile edge computing, computing offloading, multi-task hierarchical processing mechanism, constrained multi-objective optimization problem