A DYNAMIC EDGE CACHING FRAMEWORK FOR MOBILE 5G NETWORKS
A DYNAMIC EDGE CACHING FRAMEWORK FOR MOBILE 5G NETWORKS
复制标题
DOI：
10.1109/mwc.2018.1700360
复制
发表时间：
2018-10-01
影响因子：
12.9
通讯作者：
Han, Zhu
中科院分区：
文献类型：
--
作者：
Dinh Thai Hoang;Niyato, Dusit;Han, Zhu
移动的边缘高速缓存已经作为为各种移动的应用提供计算、联网资源和存储的新范例而出现。这有助于实现低延迟、高可靠性，并提高处理大量智能设备和新兴服务（例如，物联网、工业自动化、虚拟现实）在移动的5G网络中的应用。尽管如此，边缘节点的分散性质、其小覆盖范围、有限的计算和存储资源对移动的边缘缓存的发展提出了挑战。在本文中，我们首先概述了5G网络中的移动的边缘缓存。在此之后，它的主要挑战和当前的方法进行了讨论。然后，我们提出了一个新的缓存框架。我们的框架允许边缘节点授权合法用户，并使用矩阵分解技术动态预测和更新他们的内容需求。基于预测，边缘节点可以采用先进的优化方法来确定要存储的最优内容，以便最大化其收益并最小化其移动的用户的平均延迟。通过数值结果，我们证明了我们提出的框架不仅提供了一个有效的缓存方法，但也是一个有效的经济解决方案的移动的服务提供商。
Mobile edge caching has emerged as a new paradigm to provide computing, networking resources, and storage for a variety of mobile applications. That helps achieve low latency, high reliability, and improve efficiency in handling a very large number of smart devices and emerging services (e.g., IoT, industry automation, virtual reality) in mobile 5G networks. Nonetheless, the development of mobile edge caching is challenged by the decentralized nature of edge nodes, their small coverage, limited computing, and storage resources. In this article, we first give an overview of mobile edge caching in 5G networks. After that, its key challenges and current approaches are discussed. We then propose a novel caching framework. Our framework allows an edge node to authorize the legitimate users and dynamically predicts and updates their content demands using the matrix factorization technique. Based on the prediction, the edge node can adopt advanced optimization methods to determine optimal content to store so as to maximize its revenue and minimize the average delay of its mobile users. Through numerical results, we demonstrate that our proposed framework provides not only an effective caching approach, but also an efficient economic solution for the mobile service provider.