Interference and Outage in Mobile Random Networks: Expectation, Distribution, and Correlation
Interference and Outage in Mobile Random Networks: Expectation, Distribution, and Correlation
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DOI：
10.1109/tmc.2012.253
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发表时间：
2014-02
影响因子：
7.9
通讯作者：
Z. Gong;M. Haenggi
中科院分区：
文献类型：
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作者：
Z. Gong;M. Haenggi
在移动的网络中，由节点移动性引起的距离变化产生信道增益的波动。这样的波动可以被视为除了多径效应之外的另一种类型的衰落。本文将移动的节点的距离变化与信道增益的波动相结合，刻画了移动的随机网络中的干扰统计特性。在有限移动的网络的原点和边界处计算平均干扰。网络性能的中断概率进行评估。与静态网络相比，在统一移动性模型下，单个快照中的干扰不会改变。然而，随机的路点移动性增加（减少）了在原点（在边界）的干扰。此外，由于节点位置的相关性，干扰和中断在时间和空间上是相关的。我们量化的时间相关性的移动的泊松网络中的干扰和中断的相关系数和条件中断概率，分别。结果表明，路由、MAC和重传方案必须是智能的（即，相关感知）以避免传输失败的突发。
In mobile networks, distance variations caused by node mobility generate fluctuations in the channel gains. Such fluctuations can be treated as another type of fading besides multipath effects. In this paper, the interference statistics in mobile random networks are characterized by incorporating the distance variations of mobile nodes to the channel gain fluctuations. The mean interference is calculated at the origin and at the border of a finite mobile network. The network performance is evaluated in terms of the outage probability. Compared to a static network, the interference in a single snapshot does not change under uniform mobility models. However, random waypoint mobility increases (decreases) the interference at the origin (at the border). Furthermore, due to the correlation of the node locations, the interference and outage are temporally and spatially correlated. We quantify the temporal correlation of the interference and outage in mobile Poisson networks in terms of the correlation coefficient and conditional outage probability, respectively. The results show that it is essential that routing, MAC, and retransmission schemes need to be smart (i.e., correlation-aware) to avoid bursts of transmission failures.