Stochastic Geometry Based Coverage Estimation Using Realistic Urban Shadowing Models

被引：0

作者：

Wiame, Charles ^{[1
]}

Vandendorpe, Luc ^{[1
]}

Oestges, Claude ^{[1
]}

机构：

[1] ICTEAM Univ Catholique Louvain, Louvain La Neuve, Belgium

来源：

2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2018年

关键词：

Manhattan Urban model; correlated shadowing; stochastic geometry; diffraction;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The main contribution of this paper consists in integrating a physically correlated shadowing model of the aggregate interference in a stochastic geometry-based approach. The considered shadowing takes place in a Manhattan urban grid and combines both penetration and corner diffraction when modeling signal transmission from base stations to users. A tractable expression for the network coverage probability is obtained thanks to the framework of stochastic geometry. Our results suggest that the diffracted mechanisms are dominant compared to building penetration. It is also shown that the second order diffracted signal have little impact on the coverage compared to the first order signals.

引用

页数：5