The computation offloading problem in Multi-access Edge Computing (MEC) has become one of the current important research topics. Most existing computation offloading solutions mainly focus on the offloading within the edge and terminal structures. This paper proposes a new computation offloading scheme that considers the resource utilization of cloud servers in edge computing, treating cloud servers as supplements to edge server resources. This approach can alleviate insufficient computing resources of edge server. Additionally, we establish a Stackelberg game to solve the computation offloading problem, and then analysis the strategies of cloud servers, edge servers, as well as mobile devices. Then, we determine the optimal strategies for all participants and prove the existence and uniqueness of Nash equilibrium solutions in the game. Simulation results and analysis also validate the feasibility of the computation offloading scheme based on Stackelberg games. The proposed method is more efficient and suitable for scalable edge computing environments compared with the two existing offloading schemes.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

A Distributed Computation Offloading Scheme Based on Stackelberg Game in MEC

  • Weifeng Sun,
  • Yixing Qin,
  • Bowei Zhang

摘要

The computation offloading problem in Multi-access Edge Computing (MEC) has become one of the current important research topics. Most existing computation offloading solutions mainly focus on the offloading within the edge and terminal structures. This paper proposes a new computation offloading scheme that considers the resource utilization of cloud servers in edge computing, treating cloud servers as supplements to edge server resources. This approach can alleviate insufficient computing resources of edge server. Additionally, we establish a Stackelberg game to solve the computation offloading problem, and then analysis the strategies of cloud servers, edge servers, as well as mobile devices. Then, we determine the optimal strategies for all participants and prove the existence and uniqueness of Nash equilibrium solutions in the game. Simulation results and analysis also validate the feasibility of the computation offloading scheme based on Stackelberg games. The proposed method is more efficient and suitable for scalable edge computing environments compared with the two existing offloading schemes.