Performance Impact of LoS and NLoS Transmissions in Dense Cellular Networks

In this paper, we introduce a sophisticated path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions to study their impact on the performance of dense small cell networks (SCNs). Analytical results are obtained for the coverage probability and the area spectr...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on wireless communications 2016-03, Vol.15 (3), p.2365-2380
Main Authors: Ming Ding, Peng Wang, Lopez-Perez, David, Guoqiang Mao, Zihuai Lin
Format: Article
Language:English
Subjects:
Analytical models
Australia
Geometry
Homogeneous Poisson Point Process (HPPP)
Interference
Line-of-Sight (LoS)
Non-Line-of-Sight (NLoS)
Numerical models
Propagation losses
stochastic geometry
Wireless communication
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we introduce a sophisticated path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions to study their impact on the performance of dense small cell networks (SCNs). Analytical results are obtained for the coverage probability and the area spectral efficiency (ASE), assuming both a general path loss model and a special case with a linear LoS probability function. The performance impact of LoS and NLoS transmissions in dense SCNs in terms of the coverage probability and the ASE is significant, both quantitatively and qualitatively, compared with the previous work that does not differentiate LoS and NLoS transmissions. Our analysis demonstrates that the network coverage probability first increases with the increase of the base station (BS) density, and then decreases as the SCN becomes denser. This decrease further makes the ASE suffer from a slow growth or even a decrease with network densification. The ASE will grow almost linearly as the BS density goes ultra dense. For practical regime of the BS density, the performance results derived from our analysis are distinctively different from previous results, and thus shed new insights on the design and deployment of future dense SCNs.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2015.2503391