The popularity of mobile Internet makes the application of mobile terminals need more computing resources, and cloud computing enables mobile terminals to handle application tasks that need high computing resources under the premise of maintaining small specifications. However, it is difficult to obtain high-quality low latency services as the mobile Internet edge is far away from the cloud computing center ; hence mobile edge computing (MEC) is proposed. This study introduce d computing resource allocation methods based on power iteration and system utility, applie d them to the mobile edge computing network , and carried out simulation experiments in MATLAB software. The experimental results show ed that the network throughput and system utility under the two resource allocation methods increased and the average transfer rate decreased with the increase of users in the mobile edge network ; under the same number of access users, the edge network based on the system utility allocation method ha d higher throughput, average trans fer rate and system utility.

中文翻译：

---

移动边缘计算网络资源分配与管理研究

移动互联网的普及使得移动终端的应用需要更多的计算资源，而云计算使移动终端能够在保持小规格的前提下处理需要高计算资源的应用任务。但移动互联网边缘距离云计算中心较远，难以获得高质量的低时延服务；因此提出了移动边缘计算（MEC）。本研究介绍了基于功率迭代和系统效用的计算资源分配方法，将其应用于移动边缘计算网络，并在MATLAB软件中进行了仿真实验。实验结果表明，两种资源分配方式下的网络吞吐量和系统效用随着移动边缘网络用户数量的增加而增加，平均传输速率下降；在接入用户数相同的情况下，基于系统效用分配方法的边缘网络具有更高的吞吐量、平均传输率和系统效用。