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Statistical modeling of co-channel interference in a field of Poisson distributed interferers

机译:泊松分布干扰源领域中同频干扰的统计模型

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With increasing spatial reuse of the radio spectrum, co-channel interference is becoming a dominant noise source and may severely degrade the communication performance of wireless transceivers. In this paper, we consider the problem of statistical-physical modeling of co-channel interference from an annulus field of Poisson interferers. Our contributions include (1) demonstrating the applicability of the symmetric alpha stable and Middleton Class A distributions in modeling co-channel interference in various topologies of interferers, and (2) deriving analytical conditions on the system parameters for which these distributions accurately model the interference statistics. Through simulation, we compare the decay rate of tail probabilities of the empirical co-channel interference and the symmetric alpha stable, Middleton Class A, and Gaussian models for different topologies of interferers. Practical applications include co-channel interference modeling for various wireless network environments, including ad hoc and cellular networks.
机译:随着无线电频谱空间复用的增加,同信道干扰正成为主要的噪声源,并且可能严重降低无线收发器的通信性能。在本文中,我们考虑了来自泊松干扰物环空场的同信道干扰的统计物理建模问题。我们的贡献包括(1)证明对称α稳定分布和Middleton A类分布在各种干扰源拓扑中对同信道干扰进行建模的适用性;以及(2)推导系统参数的分析条件,这些条件可为这些分布准确地对干扰进行建模统计。通过仿真,我们比较了经验同信道干扰和对称α稳定,Middleton A类和高斯模型对于不同干扰源拓扑的尾部概率的衰减率。实际应用包括针对各种无线网络环境(包括自组织和蜂窝网络)的同信道干扰建模。

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