DocumentCode :
1491269
Title :
A new stochastic spatio-temporal propagation model (SSTPM) for mobile communications with antenna arrays
Author :
Piechocki, Robert J. ; McGeehan, Joe P. ; Tsoulos, George V.
Author_Institution :
Centre for Commun. Res., Bristol Univ., UK
Volume :
49
Issue :
5
fYear :
2001
fDate :
5/1/2001 12:00:00 AM
Firstpage :
855
Lastpage :
862
Abstract :
In order to evaluate the performance of third-generation mobile communication systems, radio channel models are required. The models should be capable of handling nonstationary scenarios with dynamic evolution of multipath. In this context and due to the introduction of advanced antenna systems to exploit the spatial domain, a further expansion is needed in order to include the nonstationary characteristics of the channel. In an attempt to solve these problems, this paper presents a new stochastic spatio-temporal propagation model. The model is a combination of the geometrically-based single reflection and the Gaussian wide-sense stationary uncorrelated scattering models, and is further enhanced in order to be able to handle nonstationary scenarios. The probability density functions of the number of multipath components, the scatterers´ lifetime, and the angle of arrival are calculated to support these features. The input parameters of the model are based on results from measurement campaigns published in the open literature
Keywords :
antenna arrays; array signal processing; cellular radio; direction-of-arrival estimation; electromagnetic wave reflection; electromagnetic wave scattering; multipath channels; radiowave propagation; Gaussian wide-sense stationary uncorrelated scattering model; SSTPM; angle of arrival; antenna arrays; geometrically-based single reflection model; mobile communications; multipath; nonstationary scenarios; probability density functions; radio channel models; scatterer lifetime; spatial domain; stochastic spatio-temporal propagation model; third-generation mobile communication; Antenna arrays; Antennas and propagation; Electromagnetic scattering; Mobile antennas; Mobile communication; Power system modeling; Probability density function; Reflection; Solid modeling; Stochastic processes;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.923809
Filename :
923809
Link To Document :
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