On the meta distribution in spatially correlated non-Poisson cellular networks

被引：0
作者：
Shanshan Wang
Marco Di Renzo
机构：
[1] Laboratoire des Signaux et Systèmes,
[2] CNRS,undefined
[3] CentraleSupelec,undefined
[4] Univ Paris-Sud,undefined
[5] Université Paris-Saclay,undefined
来源：
EURASIP Journal on Wireless Communications and Networking | / 2019卷
关键词：
Cellular networks; Stochastic geometry; Inhomogeneous Poisson point processes; Meta distribution;
D O I：
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中图分类号：
学科分类号：
摘要：
In this paper, we consider a cellular network in which the locations of the base stations are spatially correlated. We introduce an analytical framework for computing the distribution of the conditional coverage probability given the point process, which is referred to as the meta distribution and provides one with fine-grained information on the performance of cellular networks beyond spatial averages. To this end, we approximate, from the typical user standpoint, the spatially correlated (non-Poisson) cellular network with an inhomogeneous Poisson point process. In addition, we employ a new and recently proposed definition of the coverage probability and introduce an efficient numerical method for computing the meta distribution. The accuracy of the proposed approach is validated with the aid of numerical simulations.
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[1]  
Andrews J. G.(2011)A tractable approach to coverage and rate in cellular networks IEEE Trans. Commun. 59 3122-3134
[2]  
Baccelli F.(2013)Average rate of downlink heterogeneous cellular networks over generalized fading channels - A stochastic geometry approach IEEE Trans. Commun. 61 3050-3071
[3]  
Ganti R. K.(2014)The equivalent-in-distribution (EiD)-based approach: On the analysis of cellular networks using stochastic geometry IEEE Commun. Lett. 18 761-764
[4]  
Di Renzo M.(2015)Stochastic geometry modeling and performance evaluation of MIMO cellular networks using the equivalent-in-distribution (EiD)-based approach IEEE Trans. Commun. 63 977-996
[5]  
Guidotti A.(2015)Stochastic geometry modeling and analysis of multi-tier millimeter wave cellular networks IEEE Trans. Wirel. Commun. 14 5038-5057
[6]  
Corazza G. E.(2016)The intensity matching approach: A tractable stochastic geometry approximation to system-level analysis of cellular networks IEEE Trans. Wirel. Commun. 15 5963-5983
[7]  
Di Renzo M.(2018)Inhomogeneous double thinning - Modeling and analysis of cellular networks by using inhomogeneous Poisson point processes IEEE Trans. Wirel. Commun. 17 5162-5182
[8]  
Lu W.(2016)The meta distribution of the SIR in Poisson bipolar and cellular networks IEEE Trans. Wirel. Commun. 15 2577-2589
[9]  
Di Renzo M.(2018)System-level modeling and optimization of the energy efficiency in cellular networks - A stochastic geometry framework IEEE Trans. Wirel. Commun. 17 2539-2556
[10]  
Lu W.(2019)A tractable closed-form expression of the coverage probability in poisson cellular networks IEEE Wirel. Comm. Lett 8 249-252
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