The SINR Meta Distribution in Poisson Cellular Networks

作者: Martin Haenggi , Ke Feng

DOI: 10.1109/LWC.2021.3068321

关键词: FadingPoint processPoisson distributionBase stationPath lossMathematicsNoise powerCellular networkTopologyConstraint (information theory)

摘要: This work studies the signal-to-interference-plus-noise ratio (SINR) meta distribution (MD) in cellular networks with a focus on Poisson model. Firstly, we show that for stationary base station point processes, arbitrary fading, and power-law path loss exponent α, density λ noise power σ2 impact SINR MD only through ηλα/2/σ2, termed network signal-to-noise (NSNR). Next, networks, can be written as g(x)θ-2/α when target θ reliability x jointly satisfy constraint. We derive this constraint integral of g(x). Lastly, discuss several extensions results to more general models architectures.

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