Stochastic geometry based models for modeling cellular networks in urban areas

Chia-Han Lee*, Cheng Yu Shih, Yu Sheng Chen

*此作品的通信作者

研究成果: Article同行評審

73 引文 斯高帕斯(Scopus)

摘要

Recently a new approach to modeling cellular networks has been proposed based on the Poisson point process (PPP). Unlike the traditional, popular hexagonal grid model for the locations of base stations, the PPP model is tractable. It has been shown by Andrews et al. (in IEEE Trans Commun 59(11):3122-3134, 2011) that the hexagonal grid model provides upper bounds of the coverage probability while the PPP model gives lower bounds. In this paper, we perform a comprehensive comparison of the PPP and the hexagonal grid models with real base station deployments in urban areas worldwide provided by the open source project OpenCellID. Our simulations show that the PPP model gives upper bounds of the coverage probabilities for urban areas and is more accurate than the hexagonal grid model. In addition, we show that the Poisson cluster process is able to accurately model the base station location distribution.

原文English
頁(從 - 到)1063-1072
頁數10
期刊Wireless Networks
19
發行號6
DOIs
出版狀態Published - 8月 2013

指紋

深入研究「Stochastic geometry based models for modeling cellular networks in urban areas」主題。共同形成了獨特的指紋。

引用此