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Cited by 549

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Site-specific propagation prediction for wireless in-building personal communication system design

Seidel, S.Y., Rappaport, T.S.·1994·IEEE Transactions on Vehicular Technology

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.>

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Metadata

Authors
Seidel, S. Y., & Rappaport, T. S.
Venue
IEEE Transactions on Vehicular Technology
Published
1994
Volume
43
Issue
4
Pages
879-891
ISSN
0018-9545 (ISSN-L)
OpenAlex
W2156433148
Cited by
549
References
6
FWCI
11.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Site-specific propagation prediction for wireless in-building personal communication system design. https://app.cochat.ai/papers/10.1109/25.330150
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Seidel, S. Y., & Rappaport, T. S. (1994). Site-specific propagation prediction for wireless in-building personal communication system design. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/25.330150

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.