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Modeling Heterogeneous Network Interference Using Poisson Point Processes

机译:用泊松点建模异构网络干扰   流程

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摘要

Cellular systems are becoming more heterogeneous with the introduction of lowpower nodes including femtocells, relays, and distributed antennas.Unfortunately, the resulting interference environment is also becoming morecomplicated, making evaluation of different communication strategieschallenging in both analysis and simulation. Leveraging recent applications ofstochastic geometry to analyze cellular systems, this paper proposes to analyzedownlink performance in a fixed-size cell, which is inscribed within a weightedVoronoi cell in a Poisson field of interferers. A nearest out-of-cellinterferer, out-of-cell interferers outside a guard region, and cross-tierinterference are included in the interference calculations. Bounding theinterference power as a function of distance from the cell center, the totalinterference is characterized through its Laplace transform. An equivalentmarked process is proposed for the out-of-cell interference under additionalassumptions. To facilitate simplified calculations, the interferencedistribution is approximated using the Gamma distribution with second ordermoment matching. The Gamma approximation simplifies calculation of the successprobability and average rate, incorporates small-scale and large-scale fading,and works with co-tier and cross-tier interference. Simulations show that theproposed model provides a flexible way to characterize outage probability andrate as a function of the distance to the cell edge.
机译:随着包括毫微微小区,中继和分布式天线在内的低功率节点的引入,蜂窝系统变得越来越异构。不幸的是,由此产生的干扰环境也变得更加复杂,使得对不同通信策略的评估在分析和仿真方面都面临挑战。利用随机几何的最新应用来分析蜂窝系统,本文提出了分析固定大小小区的下行链路性能的方法,该大小固定在干扰者泊松场中加权的Voronoi小区内。干扰计算中包括最近的小区外干扰源,保护区域外的小区外干扰源和跨层干扰。将干扰功率限制为距细胞中心距离的函数,通过其拉普拉斯变换表征总干扰。针对附加假设下的小区外干扰,提出了一个等效标记的过程。为了简化计算,使用具有二阶矩匹配的Gamma分布来近似干扰分布。 Gamma逼近简化了成功概率和平均速率的计算,并包含了小规模和大规模衰落,并且可以处理共层和跨层干扰。仿真表明,所提出的模型提供了一种灵活的方式来表征中断概率和速率,该中断概率和速率取决于到单元边缘的距离。

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