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Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication

机译:下行蜂窝式车对所有(C-V2X)通信的覆盖范围和速率分析

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, an arbitrarily chosen receiving node, connects to a vehicular node or an RSU and a cellular MBS. For this setup, we derive the signal-to-interference ratio (SIR)-based coverage probability of the typical receiver. One of the key challenges in the computation of coverage probability stems from the inclusion of shadowing effects. As the standard procedure of interpreting the shadowing effects as random displacement of the location of nodes is not directly applicable to the Cox process, we propose an approximation of the spatial model inspired by the asymptotic behavior of the Cox process. Using this asymptotic characterization, we derive the coverage probability in terms of the Laplace transform of interference power distribution. Further, we compute the downlink rate coverage of the typical receiver by characterizing the load on the serving vehicular nodes or RSUs and serving MBSs. We also provide several key design insights by studying the trends in the coverage probability and rate coverage as a function of network parameters. We observe that the improvement in rate coverage obtained by increasing the density of MBSs can be equivalently achieved by tuning the selection bias appropriately without the need to deploy additional MBSs.
机译:,任意选择的接收节点,连接到车载节点或RSU和蜂窝MBS。对于此设置,我们得出典型接收器的基于信号干扰比(SIR)的覆盖概率。计算覆盖率的关键挑战之一来自阴影效应的纳入。由于将阴影效应解释为节点位置的随机位移的标准过程无法直接应用于Cox过程,因此我们提出了一种受Cox过程渐近行为启发的空间模型的近似方法。使用这种渐近特征,我们根据干扰功率分布的拉普拉斯变换得出了覆盖概率。此外,我们通过表征服务车辆节点或RSU和服务MBS上的负载来计算典型接收机的下行链路速率覆盖范围。通过研究覆盖概率和速率覆盖率随网络参数变化的趋势,我们还提供了一些关键的设计见解。我们观察到,通过适当地调整选择偏差可以等效地实现通过提高MBS密度而获得的速率覆盖率的提高,而无需部署其他MBS。

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