Energy-efficient cooperative coded caching for heterogeneous small cell networks

Qingmin Jia, Renchao Xie, Tao Huang, Jiang Liu, Yun-jie Liu
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引用次数: 15

Abstract

Coded caching and cooperative caching have been considered as two promising technologies in heterogeneous small cell networks. Although some works have been done for coded caching and cooperative caching in heterogeneous small cell networks, to the best of our knowledge, these two important issues have traditionally been addressed separately. However, it is necessary to jointly consider these two significant issues to reduce the backhaul rate and improve content delivery as well as the Quality of Experience (QoE) of end-users. Moreover, the energy efficiency issue for content caching and content delivery is also extremely significant but excessively negligent. In this paper, we jointly consider the coded caching and cooperative caching issues, and propose a cooperative coded caching scheme to improve the content delivery efficiency and enhance the QoE for end-users. And then, based on the proposed scheme, we establish an energy consumption model from the perspective of content caching and content delivery to optimize the energy efficiency. In addition, we propose a greedy-based algorithm to solve this energy efficiency issue by optimizing the caching placement. Finally, simulation results show the performance of the proposed scheme.
异构小蜂窝网络的高效协同编码缓存
编码缓存和协作缓存被认为是异构小蜂窝网络中两种很有前途的技术。尽管在异构小蜂窝网络中已经针对编码缓存和协作缓存做了一些工作,但据我们所知,这两个重要的问题传统上是分开解决的。然而,为了降低回程率,提高内容交付和最终用户的体验质量(QoE),有必要共同考虑这两个重要问题。此外,内容缓存和内容交付的能源效率问题也非常重要,但却被过分忽视了。本文综合考虑了编码缓存和协作缓存问题,提出了一种协作编码缓存方案,以提高最终用户的内容交付效率和QoE。然后,基于所提出的方案,从内容缓存和内容分发的角度建立了能源消耗模型,对能源效率进行优化。此外,我们提出了一种基于贪婪的算法,通过优化缓存位置来解决这一能源效率问题。最后,仿真结果验证了所提方案的有效性。
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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