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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Rattaro, Claudina | es |
dc.contributor.author | Belzarena, Pablo | es |
dc.date.accessioned | 2023-08-01T20:33:31Z | - |
dc.date.available | 2023-08-01T20:33:31Z | - |
dc.date.issued | 2010 | es |
dc.date.submitted | 20230801 | es |
dc.identifier.citation | Rattaro, C., Belzarena, P. Throughput prediction in wireless networks using statistical learning [Preprint] Publicado en Proceedings of the Latin-American Workshop on Dynamic Networks, Buenos Aires, Argentina, 2010. | es |
dc.identifier.uri | https://hdl.handle.net/20.500.12008/38727 | - |
dc.description.abstract | The focus of this work is on the estimation of throughput in wireless networks, more specificaly on IEEE 802.11. Our proposal is based on active measurements and statistical learning tools. We present a methodology where the system is trained during short periods with application flows and probe packets bursts. We learn the relation between throughput obtained by the application and the state of the network, which is inferred from the interarrival times of the probe packets bursts. As a result we obtain a continuous non intrusive methodology that allows to determine the maximum throughput of a wireless connection only knowing some characteristics of the network. We use Support Vector Machines (SVM) for regression and we show results obtained by simulations. | es |
dc.language | en | es |
dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
dc.subject.other | Telecomunicaciones | es |
dc.title | Throughput prediction in wireless networks using statistical learning | es |
dc.type | Preprint | es |
dc.rights.licence | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) | es |
Aparece en las colecciones: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
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RB10.pdf | 327,59 kB | Adobe PDF | Visualizar/Abrir |
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