A ray launching-neural network approach for radio wave propagation analysis in complex indoor environments
| dc.contributor.author | Azpilicueta Fernández de las Heras, Leyre | |
| dc.contributor.author | Rawat, Meenakshi | |
| dc.contributor.author | Rawat, Karun | |
| dc.contributor.author | Ghannouchi, Fadhel | |
| dc.contributor.author | Falcone Lanas, Francisco | |
| dc.contributor.department | Ingeniería Eléctrica y Electrónica | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa eta Elektronikoa | eu |
| dc.date.accessioned | 2024-01-10T12:29:15Z | |
| dc.date.available | 2024-01-10T12:29:15Z | |
| dc.date.issued | 2014 | |
| dc.date.updated | 2024-01-10T12:21:07Z | |
| dc.description.abstract | A novel deterministic approach to model the radio wave propagation channels in complex indoor environments reducing computational complexity is proposed. This technique combines a neural network and a 3D ray launching algorithm in order to compute wireless channel performance in indoor scenarios. An example of applying the method for studying indoor radio wave propagation is presented and the results are compared with a very high resolution fully three dimensional ray launching simulation as the reference solution. The new method allows the use of a lower number of launched rays in the simulation scenario whereas intermediate points can be predicted using neural network. Therefore a high gain in terms of computational efficiency (approximately 80% saving in simulation time) is achieved. | en |
| dc.description.sponsorship | The authors wish to acknowledge the financial support of project IIM13185.RI1 FASTER, funded by the Government of Navarra and project TEC2010-21563-C02-01 ENEIDA, funded by the Ministry of Science, Spain. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Azpilicueta, L., Rawat, M., Rawat, K., Ghannouchi, F. M., & Falcone, F. (2014). A ray launching-neural network approach for radio wave propagation analysis in complex indoor environments. IEEE Transactions on Antennas and Propagation, 62(5), 2777-2786. https://doi.org/10.1109/TAP.2014.2308518 | en |
| dc.identifier.doi | 10.1109/TAP.2014.2308518 | |
| dc.identifier.issn | 0018-926X | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/46980 | |
| dc.language.iso | eng | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | IEEE Transactions on Antennas and Propagation, 62(5), 2777-278 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TEC2010-21563-C02-01/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Navarra//IIM13185.RI1/ | |
| dc.relation.publisherversion | https://doi.org/10.1109/TAP.2014.2308518 | |
| dc.rights | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | 3D ray launching | en |
| dc.subject | Neural network | en |
| dc.subject | RF environment modeling | en |
| dc.subject | Radio channel simulation | en |
| dc.subject | Multipath | en |
| dc.title | A ray launching-neural network approach for radio wave propagation analysis in complex indoor environments | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication.latestForDiscovery | 00915558-0f9a-4e8e-a04c-8a7eaa1629da |