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• W2952785670 abstract "Compared to the standard success (coverage) probability, the meta distribution of the signal-to-interference ratio (SIR) provides much more fine-grained information about the network performance. We consider general heterogeneous cellular networks (HCNs) with base station tiers modeled by arbitrary stationary and ergodic non-Poisson point processes. The exact analysis of non-Poisson network models is notoriously difficult, even in terms of the standard success probability, let alone the meta distribution. Hence we propose a simple approach to approximate the SIR meta distribution for non-Poisson networks based on the ASAPPP (approximate SIR analysis based on the Poisson point process) method. We prove that the asymptotic horizontal gap $G_0$ between its standard success probability and that for the Poisson point process exactly characterizes the gap between the $b$th moment of the conditional success probability, as the SIR threshold goes to $0$. The gap $G_0$ allows two simple approximations of the meta distribution for general HCNs: 1) the per-tier approximation by applying the shift $G_0$ to each tier and 2) the effective gain approximation by directly shifting the meta distribution for the homogeneous independent Poisson network. Given the generality of the model considered and the fine-grained nature of the meta distribution, these approximations work surprisingly well." @default.
• W2952785670 created "2019-06-27" @default.
• W2952785670 creator A5003896287 @default.
• W2952785670 creator A5054727481 @default.
• W2952785670 date "2019-02-18" @default.
• W2952785670 modified "2023-09-27" @default.
• W2952785670 title "Simple Approximations of the SIR Meta Distribution in General Cellular Networks." @default.
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• W2952785670 hasPublicationYear "2019" @default.
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