Computing Resource Allocation Based on Multi-base Station and Multi-user Scenario in Mobile Edge Computing

With the rapid development of 5G communication technology and the Internet of Things, a large number of new services have emerged on mobile terminal devices, which require low latency and high bandwidth, resulting in an explosive growth of mobile communication traffic. Traditional cloud computing is not a good solution to this situation. Therefore, mobile edge computing comes into being. Mobile Edge Computing (MEC) is a new computing mode. The edge server is deployed at the edge. The computing task generated by the mobile terminal device can be unloaded to the edge server that is physically closer to the mobile terminal device for processing. The problem of limited computing power of mobile terminal users is solved. At present, many researches on mobile edge computing are based on multi-user single-server scenarios. Based on this, this paper will study and analyze the resource allocation of the edge end in the multi-base station and multi-user scenario in mobile edge computing. Firstly, the multi-base station and multi-user application scenario model is described, and then the concept of edge computing resource allocation is proposed. Finally, the effectiveness of the two resource allocation algorithms is verified through simulation experiments. The results show that the proposed resource allocation scheme can effectively reduce the task processing delay of mobile users, and the dynamic minimum connection algorithm can allocate the computing resources at the edge more rationally.