Ray Tracing RF Field Prediction: An Unforgiving Validation
The prediction of RF coverage in urban environments is now commonly considered a solved problem with tens of models proposed in the literature showing good performance against measurements. Among these, ray tracing is regarded as one of the most accurate ones available. In the present work, however,...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/184608 |
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| author | E. M. Vitucci V. Degli-Esposti F. Fuschini J. S. Lu M. Barbiroli J. N. Wu M. Zoli J. J. Zhu H. L. Bertoni |
| author_facet | E. M. Vitucci V. Degli-Esposti F. Fuschini J. S. Lu M. Barbiroli J. N. Wu M. Zoli J. J. Zhu H. L. Bertoni |
| author_sort | E. M. Vitucci |
| collection | DOAJ |
| description | The prediction of RF coverage in urban environments is now commonly considered a solved problem with tens of models proposed in the literature showing good performance against measurements. Among these, ray tracing is regarded as one of the most accurate ones available. In the present work, however, we show that a great deal of work is still needed to make ray tracing really unleash its potential in practical use. A very extensive validation of a state-of-the-art 3D ray tracing model is carried out through comparison with measurements in one of the most challenging environments: the city of San Francisco. Although the comparison is based on RF cellular coverage at 850 and 1900 MHz, a widely studied territory, very relevant sources of error and inaccuracy are identified in several cases along with possible solutions. |
| format | Article |
| id | doaj-art-5ff7750e9fa141bc8c1f42e955d6f56b |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-5ff7750e9fa141bc8c1f42e955d6f56b2025-02-03T01:09:39ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/184608184608Ray Tracing RF Field Prediction: An Unforgiving ValidationE. M. Vitucci0V. Degli-Esposti1F. Fuschini2J. S. Lu3M. Barbiroli4J. N. Wu5M. Zoli6J. J. Zhu7H. L. Bertoni8Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”, Alma Mater Studiorum, Università di Bologna, 40136 Bologna, ItalyPolaris Wireless Inc., 301 North Whisman Road, Mountain View, CA 94043, USADipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”, Alma Mater Studiorum, Università di Bologna, 40136 Bologna, ItalyPolaris Wireless Inc., 301 North Whisman Road, Mountain View, CA 94043, USADipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”, Alma Mater Studiorum, Università di Bologna, 40136 Bologna, ItalyPolaris Wireless Inc., 301 North Whisman Road, Mountain View, CA 94043, USADipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”, Alma Mater Studiorum, Università di Bologna, 40136 Bologna, ItalyPolaris Wireless Inc., 301 North Whisman Road, Mountain View, CA 94043, USANYU Wireless Center of Polytechnic School of Engineering, New York University, Brooklyn, NY 11201, USAThe prediction of RF coverage in urban environments is now commonly considered a solved problem with tens of models proposed in the literature showing good performance against measurements. Among these, ray tracing is regarded as one of the most accurate ones available. In the present work, however, we show that a great deal of work is still needed to make ray tracing really unleash its potential in practical use. A very extensive validation of a state-of-the-art 3D ray tracing model is carried out through comparison with measurements in one of the most challenging environments: the city of San Francisco. Although the comparison is based on RF cellular coverage at 850 and 1900 MHz, a widely studied territory, very relevant sources of error and inaccuracy are identified in several cases along with possible solutions.http://dx.doi.org/10.1155/2015/184608 |
| spellingShingle | E. M. Vitucci V. Degli-Esposti F. Fuschini J. S. Lu M. Barbiroli J. N. Wu M. Zoli J. J. Zhu H. L. Bertoni Ray Tracing RF Field Prediction: An Unforgiving Validation International Journal of Antennas and Propagation |
| title | Ray Tracing RF Field Prediction: An Unforgiving Validation |
| title_full | Ray Tracing RF Field Prediction: An Unforgiving Validation |
| title_fullStr | Ray Tracing RF Field Prediction: An Unforgiving Validation |
| title_full_unstemmed | Ray Tracing RF Field Prediction: An Unforgiving Validation |
| title_short | Ray Tracing RF Field Prediction: An Unforgiving Validation |
| title_sort | ray tracing rf field prediction an unforgiving validation |
| url | http://dx.doi.org/10.1155/2015/184608 |
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