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On the statistics of uplink inter-cell interference with greedy resource allocation

机译:贪婪资源分配对上行小区间干扰的统计

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摘要

In this paper, we introduce a new methodology to model the uplink inter-cell interference (ICI) in wireless cellular networks. The model takes into account both the effect of channel statistics (i.e., path loss, shadowing, fading) and the resource allocation scheme in the interfering cells. Firstly, we derive a semi-analytical expression for the distribution of the locations of the allocated user in a given cell considering greedy resource allocation with maximum signal-to-noise ratio (SNR) criterion. Based on this, we derive the distribution of the uplink ICI from one neighboring cell. Next, we compute the moment generating function (MGF) of the cumulative ICI observed from all neighboring cells and discuss some examples. Finally, we utilize the derived expressions to evaluate the outage probability in the network. In order to validate the accuracy of the developed semi-analytical expressions, we present comparison results with Monte Carlo simulations. The major benefit of the proposed mechanism is that it helps in estimating the distribution of ICI without the knowledge of instantaneous resource allocations in the neighbor cells. The proposed methodology applies to any shadowing and fading distributions. Moreover, it can be used to evaluate important network performance metrics numerically without the need for time-consuming Monte Carlo simulations. © 2011 IEEE.
机译:在本文中,我们介绍了一种新的方法来对无线蜂窝网络中的上行链路小区间干扰(ICI)进行建模。该模型考虑了信道统计的影响(即,路径损耗,阴影,衰落)和干扰小区中的资源分配方案。首先,我们考虑到贪婪资源分配和最大信噪比(SNR)准则,得出给定小区中分配用户的位置分布的半解析表达式。基于此,我们从一个相邻小区中得出上行链路ICI的分布。接下来,我们计算从所有相邻小区观察到的累积ICI的矩生成函数(MGF),并讨论一些示例。最后,我们利用导出的表达式评估网络中的中断概率。为了验证开发的半解析表达式的准确性,我们提供了蒙特卡洛模拟的比较结果。所提出的机制的主要优点在于,它有助于估计ICI的分布,而无需了解相邻小区中的瞬时资源分配。所提出的方法适用于任何阴影和褪色分布。此外,它可用于以数字方式评估重要的网络性能指标,而无需耗时的蒙特卡洛模拟。 ©2011 IEEE。

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