Spatially Consistent Street-by-Street Path Loss Model for 28-GHz Channels in Micro Cell Urban Environments
| Autor: | Charlie Jianzhong Zhang, Sooyoung Hur, Andreas F. Molisch, Aki Karttunen, Jeong-Ho Park |
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| Rok vydání: | 2017 |
| Předmět: |
ta213
Orientation (computer vision) Applied Mathematics 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Function (mathematics) Power law Standard deviation Computer Science Applications 0203 mechanical engineering Statistics 0202 electrical engineering electronic engineering information engineering Trajectory Path loss Statistical physics Electrical and Electronic Engineering Shadow mapping Random variable Mathematics |
| Zdroj: | IEEE Transactions on Wireless Communications. 16:7538-7550 |
| ISSN: | 1536-1276 |
| DOI: | 10.1109/twc.2017.2749570 |
| Popis: | This paper considers a fundamental issue of path loss (PL) modeling in urban micro cell (UMi) environments, namely the spatial consistency of the model as the mobile station moves along a trajectory through street canyons. This paper is motivated by the observed non-stationarity of the PL. We show that the traditional model of power law PL plus log-normally distributed variations can provide misleading results that can have serious implications for system simulations. Rather, the PL parameters have to be modeled as random variables that change from street to street and also as a function of the street orientation. Variations of the PL, taken over the ensemble of the whole cell (or multiple cells), thus consist of the compound effect of these PL parameter variations together with the traditional shadowing variations along the trajectory of movement. Ray-tracing results demonstrate that ignoring this effect can lead to a severe overestimation of the local standard deviation in a given area. Then, a spatially consistent stochastic street-by-street PL model is established, and a parameterization for 28-GHz UMi cells is given. The model correctly describes the PL as a function of the street orientation as well as the large variance observed for all the PL model parameters. |
| Databáze: | OpenAIRE |
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