DocumentCode :
1385617
Title :
A Two-Dimensional Geometry-Based Stochastic Model
Author :
Mammasis, Konstantinos ; Santi, Paolo
Author_Institution :
Nat. Res. Council of Italy, Pisa, Italy
Volume :
11
Issue :
1
fYear :
2012
fDate :
1/1/2012 12:00:00 AM
Firstpage :
38
Lastpage :
43
Abstract :
In this paper, the problem of deriving the power angular scattering response (PASR) resulting from a Gaussian scatterer distribution is undertaken. The scatter cluster can be located arbitrarily in the vicinity of the mobile unit. Furthermore, for the considered scatter geometry we derive both the angular and distance statistics at the observation point, allowing a theoretical characterization of the PASR. A major byproduct of this analysis is that the Gaussian scatterer hypothesis is formally shown to produce a Gaussian power angular spectrum in a macrocell environment, which is in accordance with existing measurements.
Keywords :
Gaussian distribution; antenna arrays; cellular radio; electromagnetic wave scattering; stochastic processes; Gaussian power angular spectrum; Gaussian scatterer distribution; PASR; antenna arrays; distance statistics; macrocell environment; mobile unit; power angular scattering response; scatter cluster; two-dimensional geometry-based stochastic model; Density functional theory; Joints; Random variables; Rician channels; Scattering; Transmitters; Vectors; Angular power scatttering response; antenna arrays; wireless spatial channel modeling;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2011.111211.110671
Filename :
6092786
Link To Document :
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