DocumentCode
1192678
Title
Site-specific propagation prediction for wireless in-building personal communication system design
Author
Seidel, Scott Y. ; Rappaport, Theodore S.
Author_Institution
Dept. of Radio & Personal Commun. Res., Bellcore, Red Bank, NJ, USA
Volume
43
Issue
4
fYear
1994
fDate
11/1/1994 12:00:00 AM
Firstpage
879
Lastpage
891
Abstract
The paper describes a geometrical optics based model to predict propagation within buildings for personal communication system (PCS) design. A ray tracing model for predicting propagation based on a building blueprint representation is presented for a transmitter and receiver located on the same floor inside a building. Measured and predicted propagation data are presented as power delay profiles that contain the amplitude and arrival time of individual multipath components. Measured and predicted power delay profiles are compared on a location-by-location basis to provide both a qualitative and a quantitative measure of the model accuracy. The concept of effective building material properties is developed, and the effective building material properties are derived for two dissimilar buildings based upon comparison of measured and predicted power delay profiles. Time delay comparison shows that the amplitudes of many significant multipath components are accurately predicted by this model. Path loss between a transmitter and receiver is predicted with a standard deviation of less than 5 dB over 45 locations in two different buildings
Keywords
delays; filtering and prediction theory; personal communication networks; radiowave propagation; telecommunication channels; PCS design; amplitude; arrival time; building blueprint; geometrical optics based model; multipath components; path loss; power delay profiles; ray tracing model; site-specific propagation prediction; wireless in-building personal communication system design; Building materials; Delay effects; Geometrical optics; Optical propagation; Optical transmitters; Personal communication networks; Power measurement; Power system modeling; Predictive models; Solid modeling;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/25.330150
Filename
330150
Link To Document