Next generation cellular systems need efficient content-distribution schemes. Content-sharing via Device-to-Device (D2D) clustered networks has emerged as a popular approach for alleviating the burden on the cellular network. In this article, we utilize Content-Centric Networking and Network Virtualization to propose a distributed architecture, that supports efficient content delivery. We propose to use clustering at the user level for content-distribution. A weighted multifactor clustering algorithm is proposed for grouping the D2D User Equipment (DUEs) sharing a common interest. The proposed algorithm is evaluated in terms of energy efficiency, area spectral efficiency, and throughput. The effect of the number of clusters on these performance parameters is also discussed. The proposed algorithm has been further modified to allow for a tradeoff between fairness and other performance parameters. A comprehensive simulation study demonstrates that the proposed clustering algorithm is more flexible and outperforms several classical and state-of-the-art algorithms.

中文翻译：

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启用D2D的以内容为中心的网络由分布式体系结构支持的新型加权聚类算法

下一代蜂窝系统需要有效的内容分发方案。通过设备到设备（D2D）群集网络进行内容共享已成为减轻蜂窝网络负担的一种流行方法。在本文中，我们利用以内容为中心的网络和网络虚拟化来提出一种分布式架构，该架构支持有效的内容交付。我们建议在用户级别使用群集进行内容分发。提出了一种加权多因素聚类算法，用于对共享共同兴趣的D2D用户设备（DUE）进行分组。从能量效率，区域频谱效率和吞吐量方面评估了所提出的算法。还讨论了群集数量对这些性能参数的影响。所提出的算法已经过进一步修改，可以在公平性和其他性能参数之间进行权衡。全面的仿真研究表明，所提出的聚类算法更灵活，并且优于几种经典算法和最新算法。