The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Propagation measurements and models for wireless communications channels
Abstract
The authors describe the type of signals that occur in various environments and the modeling of the propagation parameters. Models are essentially of two classes. The first class consists of parametric statistical models that on average describe the phenomenon within a given error. They are simple to use, but relatively coarse. In the last few years a second class of environment-specific models has been introduced. These models are of a more deterministic nature, characterizing a specific street, building, etc. They are necessarily more time consuming to use, but are also more revealing concerning physical details and hopefully more accurate. Some key parameters and the measurement of them are discussed and then the different wireless environments are treated. The latter topic is divided into outdoor environments, indoor environments, and radio penetration from outdoor to indoor environments.>
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Citations
Cites
A Statistical Model for Indoor Multipath Propagation
Saleh, A. A. M., & Valenzuela, R. (1987) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.1987.1146527 · Cited by 3,398
Empirical formula for propagation loss in land mobile radio services
Hata, M. (1980) · IEEE Transactions on Vehicular Technology · doi:10.1109/t-vt.1980.23859 · Cited by 2,789
914 MHz path loss prediction models for indoor wireless communications in multifloored buildings
Seidel, S. Y., & Rappaport, T. S. (1992) · IEEE Transactions on Antennas and Propagation · doi:10.1109/8.127405 · Cited by 925
Self-citationField strength and its variability in VHF and UHF land-mobile radio service
Okumura, Y. (1968) · Medical Entomology and Zoology · Cited by 835
Rustako, A. J., Amitay, N., Owens, G. J., & Roman, R. S. (1991) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.69989 · Cited by 272
A measurement-based model for predicting coverage areas of urban microcells
Goldsmith, A. J., & Greenstein, L. J. (1993) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.233214 · Cited by 140
Cited by
A survey of various propagation models for mobile communication
Sarkar, T. K., Ji, Z., Kim, K., Medouri, A., & Salazar-Palma, M. (2003) · IEEE Antennas and Propagation Magazine · doi:10.1109/map.2003.1232163 · Cited by 909
A Probabilistic Approach to WLAN User Location Estimation
Roos, T., Myllymäki, P., Tirri, H., Misikangas, P., & Sievänen, J. (2002) · International Journal of Wireless Information Networks · doi:10.1023/a:1016003126882 · Cited by 854
Sun, S., Rappaport, T. S., Thomas, T. A., Ghosh, A., Nguyen, H. C., Kovacs, I. Z., Rodriguez, I., Koymen, O., & Partyka, A. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2543139 · Cited by 485
Self-citation5G 3GPP-Like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments
Haneda, K., Zhang, J., Tan, L., Liu, G., Zheng, Y., Asplund, H., Li, J., Wang, Y., Steer, D., Li, C., et al. (2016) · 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring) · doi:10.1109/vtcspring.2016.7503971 · Cited by 357
Self-citationA novel millimeter-wave channel simulator and applications for 5G wireless communications
Sun, S., MacCartney, G. R., & Rappaport, T. S. (2017) · 2017 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2017.7996792 · Cited by 316
Self-citation
Metadata
- Authors
- Andersen, J. B., Rappaport, T. S., & Yoshida, S.
- Venue
- IEEE Communications Magazine
- Published
- 1995
- Volume
- 33
- Issue
- 1
- Pages
- 42-49
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2110618891
- Cited by
- 869
- References
- 6
- FWCI
- 11.98
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
