Online Distributed Edge Caching for Mobile Data Offloading in 5G Networks

Yiming Zeng, Yaodong Huang, Zhenhua Liu, Yuanyuan Yang
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引用次数: 4

Abstract

Edge caching is an effective approach to improve the quality of service for mobile users and therefore a critical component for 5G networks. Despite the importance, it is not clear how to determine which contents to cache and how to the serve requests in 5G networks to minimize the total operational cost in a distributed and online manner, especially when some mobile users can be served by multiple small base stations. In this paper, we formulate an optimization problem to jointly decide the caching policy and the routing decision. There are two challenges: the need for distributed control and the lack of future information. We therefore develop an online distributed algorithm with provable performance guarantees in terms of convergence and competitive ratio compared to the offline optimal solution. Numerical simulations based on real-world traces highlight the significant performance improvement compared to existing baselines.
5G网络中移动数据卸载的在线分布式边缘缓存
边缘缓存是提高移动用户服务质量的有效方法,因此是5G网络的关键组成部分。尽管这很重要,但如何确定哪些内容需要缓存,以及如何在5G网络中以分布式和在线的方式最大限度地降低总运营成本,尤其是当一些移动用户可以由多个小型基站服务时,目前还不清楚。在本文中,我们提出了一个优化问题来共同决定缓存策略和路由决策。有两个挑战:对分布式控制的需求和缺乏未来信息。因此,我们开发了一种在线分布式算法,与离线最优解相比,该算法在收敛性和竞争率方面具有可证明的性能保证。与现有基线相比,基于真实世界轨迹的数值模拟突出了显著的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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