DocumentCode
1533788
Title
An empirically based path loss model for wireless channels in suburban environments
Author
Erceg, Vinko ; Greenstein, Larry J. ; Tjandra, Sony Y. ; Parkoff, Seth R. ; Gupta, Ajay ; Kulic, Boris ; Julius, Arthur A. ; Bianchi, Renee
Author_Institution
AT&T Wireless Services, Redmond, WA, USA
Volume
17
Issue
7
fYear
1999
fDate
7/1/1999 12:00:00 AM
Firstpage
1205
Lastpage
1211
Abstract
We present a statistical path loss model derived from 1.9 GHz experimental data collected across the United States in 95 existing macrocells. The model is for suburban areas, and it distinguishes between different terrain categories. Moreover, it applies to distances and base antenna heights not well-covered by existing models. The characterization used is a linear curve fitting the decibel path loss to the decibel-distance, with a Gaussian random variation about that curve due to shadow fading. The slope of the linear curve (corresponding to the path loss exponent, γ) is shown to be a random variate from one macrocell to another, as is the standard deviation σ of the shadow fading. These two parameters are statistically modeled, with the dependencies on base antenna height and terrain category made explicit. The resulting path loss model applies to base antenna heights from 10 to 80 m, base-to-terminal distances from 0.1 to 8 km, and three distinct terrain categories
Keywords
Gaussian processes; UHF radio propagation; cellular radio; curve fitting; fading channels; losses; random processes; statistical analysis; 1.9 GHz; Gaussian random variation; UHF; United States; base antenna heights; base-to-terminal distances; decibel path loss; decibel-distance; empirically based path loss model; experimental data; linear curve fitting; linear curve slope; macrocells; path loss exponent; shadow fading; standard deviation; statistical path loss model; suburban areas; suburban environments; terrain categories; wireless channels; Antennas and propagation; Azimuth; Base stations; Curve fitting; Fading; Frequency; Macrocell networks; Predictive models; Propagation losses; Spatial databases;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/49.778178
Filename
778178
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