Spatial Modeling and Analysis of Cellular Networks Using the Ginibre Point Process: A Tutorial-Reference-Cited by-同舟云学术

Spatial Modeling and Analysis of Cellular Networks Using the Ginibre Point Process: A Tutorial

Published:2016 Issue:11 Volume:E99.B Page:2247-2255
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

MIYOSHI Naoto¹,SHIRAI Tomoyuki²

Affiliation:

1. Department of Mathematical and Computing Science, Tokyo Institute of Technology

2. Institute of Mathematics for Industry, Kyushu University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E99.B/11/E99.B_2016NEI0001/_pdf

Reference40 articles.

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2. [2] M. Haenggi, J.G. Andrews, F. Baccelli, O. Dousse, and M. Franceschetti, “Stochastic geometry and random graphs for the analysis and design of wireless networks,” IEEE J. Sel. Areas. Commun., vol.27, no.7, pp.1029-1046, 2009.

3. [3] H. ElSawy, E. Hossain, and M. Haenggi, “Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: A survey,” IEEE Commun. Surv. Tutorials, vol.15, no.3, pp.996-1019, 2013.

4. [4] H. ElSawy, A. Sultan-Salem, M.S. Alouini, and M.Z. Win, “Modeling and analysis of cellular networks using stochastic geometry: A tutorial,” arXiv: 1604.03689 [cs.IT], 2016.

5. [5] F. Baccelli and B. Błaszczyszyn, “Stochastic geometry and wireless networks: Volume I theory,” Foundations and Trends® in Networking, vol.3, no.3-4, pp.249-449, 2009.

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