A Stochastic Geometry Framework for LOS/NLOS Propagation in Dense Small Cell Networks

Carlo Galiotto, Nuno Kiilerich Pratas, Nicola Marchetti, Linda Doyle

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

31 Citations (Scopus)

Abstract

The need to carry out analytical studies of wireless systems often motivates the usage of simplified models which, despite their tractability, can easily lead to an overestimation of the achievable performance. In the case of dense small cells networks, the standard single slope path-loss model has been shown to provide interesting, but supposedly too optimistic, properties such as the invariance of the outage/coverage probability and of the spectral efficiency to the base station density.

This paper seeks to explore the performance of dense small cells networks when a more accurate path-loss model is taken into account. We first propose a stochastic geometry based framework for small cell networks where the signal propagation accounts for both the Line-of-Sight (LOS) and Non-Line-Of-Sight (NLOS) components, such as the model provided by the 3GPP for evaluation of pico-cells in Heterogeneous Networks. We then study the performance of these networks and we show the dependency of some metrics such as the outage/coverage probability, the spectral efficiency and Area Spectral Efficiency (ASE) on the base station density and on the LOS likelihood of the propagation environment.
Specifically, we show that, with LOS/NLOS propagation, dense networks still achieve large ASE gain but, at the same time, suffer from high outage probability.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications (ICC), 2015
PublisherIEEE
Publication date2015
Pages2851 - 2856
ISBN (Electronic)978-1-4673-6432-4
DOIs
Publication statusPublished - 2015
Event 2015 IEEE International Conference on Communications (ICC) - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Conference

Conference 2015 IEEE International Conference on Communications (ICC)
CountryUnited Kingdom
CityLondon
Period08/06/201512/06/2015
SeriesI E E E International Conference on Communications
ISSN1550-3607

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