关键词: 移动边缘计算, 计算卸载, MEC部署方案, 卸载策略, 5G

Abstract:

The computation offloading technology in Mobile Edge Computing（MEC） offloads the computing tasks of terminal devices to the edge of the network to solve the problems such as extension, large energy consumption, and high load in the cloud computing center. The concept of MEC, the current mainstream network architecture and deployment solutions of MEC are introduced. From the aspect of offloading decision-making, a detailed study of the offloading technology of computing-intensive applications in the MEC environment is carried out. This paper analyzes and compares the four computation offloading schemes from the optimization goals of minimizing delay, minimizing energy consumption, balancing delay and energy consumption, and maximizing revenue, and summarizes their key. By analyzing the development trend of MEC offloading technology in 5G environment, the IIoT-MEC network deployment architecture supporting 5G is introduced. On this basis, a lightweight task offloading strategy based on deep reinforcement learning and a MEC offloading strategy based on D2D collaboration are analyzed. The core challenges of offloading decision-making, interfere with the management, mobility management are summarized, which are currently faced by computation offloading technologies in MEC.

Key words: Mobile Edge Computing（MEC）, computation offloading, MEC deployment scenario, offloading schemes, 5G