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On the Analysis of Content Dissemination with Reactive Content Pushing in Cache-Enabled D2D Networks

机译:在高速缓存的D2D网络中推动反应含量的含量传播分析

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摘要

Device-to-device (D2D) communication has huge potential to offload ever increasing cellular traffic. As a premise, devices should store as many popular contents as possible. For augmenting the number of cached contents, in this paper, we propose a reactive content pushing (RCP) mechanism in cache-enabled D2D networks, in which some devices overhear the transmitted contents utilizing the broadcast nature of wireless medium. Since no proactive content pushing is involved, it doesn't generate interference to the D2D links for normal content requests and its implementation is quite simple. By modeling the D2D network by Poisson point process (PPP), we derive the probabilities that users are in the defined states and the law of evolution of content caching distribution. Moreover, based on the PPP model, we derive the expressions of the successful offloading probability, the average delay and the upper bound of average energy consumption of a request. Simulation results demonstrate the accuracy of the theoretical results and the superiority of the RCP mechanism compared with general content dissemination process.
机译:设备到设备(D2D)通信具有较大潜在蜂窝流量的潜力。作为前提,设备应尽可能多地存储多个流行内容。为了增强缓存内容的数量,在本文中,我们提出了一种支持高速缓存的D2D网络中的反应内容推动(RCP)机制,其中一些设备利用无线介质的广播性质渗透传输的内容。由于没有参与主动内容推动,因此它不会对正常内容请求的D2D链路产生干扰,并且其实现非常简单。通过通过泊松点进程(PPP)建模D2D网络,我们推出了用户在定义状态和内容缓存分布的演变规则中的概率。此外,基于PPP模型,我们得出了成功卸载概率,平均能耗的平均能耗的表达式的表达式。仿真结果表明,与一般含量传播过程相比,仿真结果的准确性和RCP机制的优越性。

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