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Analysis of D2D-Aided Underlaying Uplink Cellular Networks Using Poisson Hole Process

机译:使用泊松孔过程分析D2D辅助底层上行链路蜂窝网络

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摘要

As one of the key technologies in 5th generation mobile networks, device-to-device (D2D) communication technology can significantly improve spectrum utilization, throughput and energy efficiency as well as reduce congestion in the networks. However, due to the spectrum sharing between D2D users (DUs) and cellular users (CUs), it may also cause serious interferences. In this paper, we adopt appropriate stochastic geometric tools to model and analyze the mutual interferences, based on which the coverage probabilities of different users are derived to evaluate the network performance. Specifically, we model the locations of CUs as a Poisson point process (PPP), while the locations of DUs are modelled as a Poisson hole process (PHP), which is driven by the PPP of CUs’ locations due to the exclusion between the positions of CUs and DUs. Furthermore, the approximated expressions of user coverage probabilities are obtained by two methods, which are consistent with the simulation results. The first method is to dissolve the hole, and the second method is to approximate the PHP through a thinned PPP. In addition, the user ergodic data rates and the sum data rate of the networks are also derived through the second approach. The impacts of key parameters (such as the density of DUs and the size of the warning radius) on the ergodic rates and sum data rate are analyzed.
机译:作为第五代移动网络中的关键技术之一,设备到设备(D2D)通信技术可以显着提高频谱利用率,吞吐量和能量效率,以及减少网络中的拥塞。但是,由于D2D用户(DUS)和蜂窝用户(CU)之间的频谱共享,它也可能导致严重干扰。在本文中,我们采用适当的随机几何工具来模拟和分析相互干扰,基于哪些不同用户的覆盖概率来评估网络性能。具体而言,我们将CU的位置模拟为泊松点过程(PPP),而DU的位置被建模为泊松孔过程(PHP),这是由CUS'位置的PPP驱动,因为由于位置之间的排除而导致的CUS位置。 CUS和DUS。此外,通过两种方法获得用户覆盖概率的近似表达,这两种方法与模拟结果一致。第一种方法是溶解孔,第二种方法是通过稀释的PPP近似PHP。另外,用户ergodic数据速率和网络的总和数据速率也通过第二方法导出。分析了关键参数(例如DUS的密度和警告半径的尺寸)对ergodic速率和总和数据速率的影响。

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