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The penalty for random deployment in hexagonal lattice networks with perturbed interferers

机译:扰动六边形格子网络中随机部署的惩罚

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Base station (BS) locations are usually modelled using one of two extremes: at one end is a deterministic, hexagonal, location model; while at the other is a random deployment following a Poisson point process (PPP). However, real-world networks follow neither extreme; as such, in this paper, we focus on a modified perturbed hexagonal lattice model that, in terms of regularity, lies in between the PPP and the perfect hexagonal lattice models. In our modified perturbed hexagonal lattice, the location of all interfering BSs, except for the serving BS under consideration, are perturbed. We provide a simple and tight upper bound on the average total interference in an interference-limited reuse-1 network. The bound is presented in the form of a polynomial in the distance from the serving BS and another polynomial in the normalized perturbation. The presented formulation is useful in obtaining simple analytical expressions for various network parameters such as SIR and/or coverage probability. As an added benefit, the formulations here quantify the loss in the coverage probability in moving from the perfect lattice model to a random BS deployment. We use simulations to illustrate the accuracy of the theory developed.
机译:基站(BS)位置通常使用以下两种极端之一进行建模:一端是确定性的六边形位置模型;另一端是确定性的六边形位置模型。另一个是遵循Poisson点过程(PPP)的随机部署。但是,现实世界中的网络都不是极限。因此,在本文中,我们将重点放在修正的扰动六边形格子模型上,就规则性而言,该模型位于PPP和理想的六边形格子模型之间。在我们修改的扰动六边形格子中,除了正在考虑的服务BS外,所有干扰BS的位置都受到了扰动。我们提供了一个在干扰受限的复用1网络中的平均总干扰的简单且严格的上限。在距服务BS的距离中以多项式的形式表示边界,在归一化扰动中以另一个多项式的形式表示边界。提出的公式可用于获得各种网络参数(例如SIR和/或覆盖率)的简单分析表达式。另外一个好处是,这里的公式量化了从理想晶格模型向随机BS部署转变时覆盖概率的损失。我们使用仿真来说明所开发理论的准确性。

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