Abstract
In this paper, we introduce the Inhomogeneous Double Thinning (IDT) approach, which allows us to analyze the performance of downlink cellular networks in which the Base Stations (BSs) constitute a stationary Point Process (PP) that exhibits some degree of spatial repulsion (i.e., inhibition). The accuracy of the proposed IDT approach is substantiated by using empirical data for the spatial distribution of the BSs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andrews, J.G., Baccelli, F., Ganti, R.K.: A tractable approach to coverage and rate in cellular networks. IEEE Trans. Commun. 59(11), 3122–3134 (2011)
Di Renzo, M., Guidotti, A., Corazza, G.E.: Average rate of downlink heterogeneous cellular networks over generalized fading channels - a stochastic geometry approach. IEEE Trans. Commun. 61(7), 3050–3071 (2013)
Di Renzo, M.: Stochastic geometry modeling and analysis of multi-tier millimeter wave cellular networks. IEEE Trans. Wirel. Commun. 14(9), 5038–5057 (2015)
Di Renzo, M., Guan, P.: Stochastic geometry modeling and system-level analysis of uplink heterogeneous cellular networks with multi-antenna base stations. IEEE Trans. Commun. 64(6), 2453–2476 (2016)
Di Renzo, M., Zapppone, A., Lam, T.T., Debbah, M.: System-level modeling and optimization of the energy efficiency in cellular networks - a stochastic geometry framework. IEEE Trans. Wirel. Commun. 17(4), 2539–2556 (2018)
Di Renzo, M., Lu, W., Guan, P.: The intensity matching approach: a tractable stochastic geometry approximation to system-level analysis of cellular networks. IEEE Trans. Wirel. Commun. 15(9), 5963–5983 (2016)
Li, Y., Baccelli, F., Dhillon, H., Andrews, J.: Statistical modeling and probabilistic analysis of cellular networks with determinantal point processes. IEEE Trans. Commun. 63(9), 3405–3422 (2015)
Deng, N., Zhou, W., Haenggi, M.: The Ginibre point process as a model for wireless networks with repulsion. IEEE Trans. Wirel. Commun. 14(1), 107–121 (2015)
Kibilda, J., Galkin, B., DaSilva, L.A.: Modelling multi-operator base station deployment patterns in cellular networks. IEEE Trans. Mob. Comput. 15(12), 3087–3099 (2016)
Baddeley, A., Rubak, E., Turner, R.: Spatial Point Patterns: Methodology and Applications with R. Chapman and Hall/CRC, New York (2015)
Streit, R.L.: Poisson Point Processes: Imaging, Tracking, and Sensing. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-6923-1
Haenggi, M.: Stochastic Geometry for Wireless Networks. Cambridge University Press, Cambridge (2012)
Di Renzo, M., Wang, S., Xi, X.: Inhomogeneous double thinning–modeling and analysis of cellular networks by using inhomogeneous Poisson point processes. IEEE Trans. Wirel. Commun. 17(8), 5162–5182 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Di Renzo, M., Wang, S., XI, X. (2019). Modeling Spatially-Correlated Cellular Networks by Using Inhomogeneous Poisson Point Processes. In: Duong, T., Vo, NS. (eds) Industrial Networks and Intelligent Systems. INISCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 257. Springer, Cham. https://doi.org/10.1007/978-3-030-05873-9_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-05873-9_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05872-2
Online ISBN: 978-3-030-05873-9
eBook Packages: Computer ScienceComputer Science (R0)