In this paper we discuss the problem of estimating aggregate interference in large scale wireless networks. We argue that the usual approximations assuming uniform distribution of transmitters can lead into significant approximation errors. We then show how these approximation errors can be reduced by adopting a model based approach using spatial statistics of the actual transmitter distribution as part of the model. The resulting approach is still very lightweight numerically, and enables trading off computational complexity to approximation accuracy in a flexible manner. The developed methodology is general, and can be used for aggregate interference estimation both within individual wireless networks, and also between two or more wireless communication systems.
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