Poisson-Daunay三角剖分上的视线Cox渗流
Line-of-sight Cox percolation on Poisson-Delaunay triangulation
AI总结:
本文研究了城市环境下D2D网络的渗流特性,通过Poisson-Delaunay三角剖分建模街道系统,利用Cox和Bernoulli过程描述用户分布,并引入增强技术首次在通信网络中应用渗流工具,分析了连通图的渗流状态。
摘要:
本文研究了城市环境中设备到设备(D2D)网络的渗流特性。街道系统由Poisson-Delaunay三角剖分(PDT)建模。用户分为两类:一类由PDT边支撑的Cox过程给出,另一类由PDT顶点上的Bernoulli过程给出(即在街道和十字路口处)。由此得到的连通图G p,$λ$,r的渗流被解释为D2D网络中的长距离连接。。根据模型的参数p, $λ$, r,我们在定理1中陈述了几种渗流状态(另见图3)。本工作完成并细化了Le Gall等人[23]的结果。为此,我们利用了一种受增强技术启发的渗流工具,据我们所知,这是首次在通信网络背景下使用该工具。
英文摘要:
In this work, percolation properties of device-to-device (D2D) networks in urban environments are investigated. The street system is modeled by a Poisson-Delaunay triangulation (PDT). Users are of two types: given either by a Cox process supported by the edges of the PDT or by a Bernoulli process on the vertices of the PDT (i.e. on streets and at crossroads). Percolation of the resulting connectivity graph G p,$λ$,r is interpreted as long-range connection in the D2D network. According to the parameters p, $λ$, r of the model, we state several percolation regimes in Theorem 1 (see also Fig. 3). This work completes and specifies results of Le Gall et al [23]. To do it, we take advantage of a percolation tool, inspired by enhancement techniques, used to our knowledge for the first time in the context of communication networks.
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