Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (14): 82-87.DOI: 10.3778/j.issn.1002-8331.1904-0386

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Joint Computation and Radio Resource Management for Cellular Networks with Mobile Edge Computing

TANG Qun, ZHU Guoqiang   

  1. Meteorological Service Center, Hunan Meteorological Bureau, Changsha 410118, China
  • Online:2020-07-15 Published:2020-07-14



  1. 湖南省气象局 气象服务中心,长沙 410118


Mobile Edge Computing(MEC) is the most effective method to enhance the computing power of mobile devices, which has attracted a large number of scholars to research. In order to improve the performance of wireless cellular network for MEC, an integrated framework for computing offload and interference management of wireless cellular networks based on mobile edge computing is proposed in this paper. In this integrated framework, the MEC server makes the offloading decision according to the local computation overhead estimated by all User Equipments(UEs) and the offloading overhead estimated by the MEC server itself. Then, the MEC server performs the PRB allocation using graph coloring. The outcomes of the offloading decision and PRB allocation are then used to allocate the computation resource of the MEC server to the UEs. Simulation results are presented to show the effectiveness of the integrated framework with different system parameters.

Key words: mobile edge computing, small cell networks, computation offloading, interference management, resource allocation



关键词: 移动边缘计算, 小型蜂窝网络, 卸载计算, 干扰管理, 资源分配