Fajardo Portillo Jose Oscar

Fajardo Portillo, Jose Oscar

Datu pertsonalak

Fajardo Portillo, Jose Oscar

Helbidea: Alda. de Urquijo s/n. C.P.: 48013. Bilbao
Email: joseoscar.fajardo@ehu.es
Teléfono: +34 94 601 7361

 

Titulazio akademikoa

Unibertsitateko Titulazioa

Titulua: Telekomunikazio Ingeniaritza
Areagotzea: Telematika
Zentroa: Euskal Herriko Unibertsitatea
Lorpen data: 2003

Doktoregoa

Egitarauaren titulua: Tecnologías de la información y comunicaciones en Redes Móviles
DEA lorpen data: 2005
Título de la tesis:  Adaptación de los mecanismos de provisión de calidad de servicio a las preferencias de los usuarios (Adaptation of QoS provisioning mechanisms to user requirements)
Lorpen data: (Amaiturik gabe)

Argitalpenak

QoE-driven dynamic management proposals for 3G VoIP services

Egileak:
Jose Oscar Fajardo, Fidel Liberal, Is-Haka Mkwawa, Lingfen Sun , Harilaos Koumaras
Urtea:
2010
Aldizkaria:
Computer Communications
Liburukia:
33, Issue 14
Hasierako orria - Amaierako orria:
1707 - 1724
Deskribapena:

<span lang="en>Most of the currently available adaptation solutions of VoIP over UMTS are based on the modification of service parameters as the only available reaction against any detected service degradation. On the contrary, in this paper we propose a combined approach where service-level adaptation is considered first and, provided that no suitable parameter combination is capable of providing enough QoE, a change of network state will be suggested. In order to do so we analyze the performance of the end-to-end (e2e) performance metrics in this convergent scenario, the root causes of possible degradations and, finally, the combined effects of the different network segments and their impact on the user perceived QoE. We show the map of best performing VoIP configurations for every state of the network segments. Furthermore, considering each of these configurations, we analyze the acceptability of the service or the convenience of trying to modify the network state. Finally, a lightweight implementation based on simple network state estimation and decision heuristics is proposed and validated in terms of accuracy and responsiveness.</span>

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