Frontiers of Data and Computing ›› 2020, Vol. 2 ›› Issue (3): 126-136.doi: 10.11871/jfdc.issn.2096-742X.2020.03.011

• Technology and Applicaton • Previous Articles     Next Articles

Computation Offloading Strategy for Multi-Base Station and Multi-User Equipment Mobile Edge Computing

Shi Yueru1,2(),Li Jun1,*()   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-03-02 Online:2020-06-20 Published:2020-08-19
  • Contact: Li Jun E-mail:shiyueru@cnic.cn;jlee@cstnet.cn

Abstract:

[Objective] Computation offloading is an important research area of Mobile Edge Computing (MEC). It makes up for the shortcomings of devices in storage and computation, thus receiving extensive attention. This paper studies the computation offloading strategy for MEC with dense network. [Methods] For the multi-base station and multi-user equipment scenario, we construct a computation offloading model with service caching and resource allocating features, and adopt dynamic programming and game theory to solve the caching problem and jointly allocate radio and computational resources. Finally, a Nash equilibrium state of mutual satisfaction achieves among users. [Results] Simulation experiments show that the proposed strategy is efficient to reduce overhead, improve system performance and can receive better satisfaction. [Conclusions] It is suitable for mobile edge computing scenario, and provides theoretical and practical supports for subsequent research on computation offloading. In the next step, we will consider the incentive mechanism to users’ behavior when discussing computation offloading.

Key words: mobile edge computing, computation offloading, service caching, resource allocating