Quality of experience evaluation under QoS-aware mobility mechanisms

Bernardo, Francisco; Vučević, Nemanja; Umbert, Anna; López-Benítez, Miguel

doi:10.1109/ew.2008.4623860

Cited by 11 publications

(5 citation statements)

References 15 publications

(10 reference statements)

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“…The emodel approach was described in several publications [27], [28], [29] as a method for evaluating QoE over a wireless link using VoIP applications. Variations of the e-model implementation [30] as well as new approaches [31], [32] are investigated to evaluate QoE under QoS-aware mobility mechanisms [33]. In this paper authors focus on QoE solutions designed for wireless environments, especially WiMAX systems [19] [34].…”

Section: Related Workmentioning

confidence: 99%

Quality of Service and Resource Allocation in WiMAX

Hincapié¹,

Sierra²

2012

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Professor Roberto C. Hincapie received his PhD degree in Telecommunications Engineering from the Universidad Pontificia Bolivariana, Medellin, Colombia in 2009. Currently, he is an Associate Professor at the same university, where he is also the director of GIDATI research group. His current research interests are Wireless Mesh Networks, resource allocation and OFDM wireless technologies such as WiMAX and LTE. He has taught courses in Traffic Engineering, Simulation and Design of Telecommunication systems. He has participated in several publications in indexed journals and addressed a number of key international conferences.Professor Javier E. Sierra received his PhD degree in Telecommunications Engineering from the Universidad Pontificia Bolivariana, Medellin, Colombia in 2009. Currently, he is a professor at the Engineering Department of the same university. He works for GIDATI research group and Universidad Pontificia Bolivariana. He has participated in various national and international conferences (IEEE, ACM), and has received awards, including the award for the best paper presented. He is also an author of several publications in indexed journals. His biography has been included in the book Who's Who in the World, 2010 edition, and Who's Who in Science and Engineering by Marquis Who's Who in the World. His research interests include wireless networks, network optimization, traffic grooming and optical transport networks.

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Section: Related Workmentioning

confidence: 99%

Quality of Service and Resource Allocation in WiMAX

Hincapié¹,

Sierra²

2012

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“…Thus, depending on the scenario and on the adopted technical solutions, the appreciated QoE would be different (e.g. [27,28]). …”

Section: Network Layermentioning

confidence: 99%

Fair Quality of Experience (QoE) Measurements Related with Networking Technologies

Martínez-Yelmo

Seoane

Guerrero

2010

Lecture Notes in Computer Science

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Abstract. This paper addresses the topic of Fair QoE measurements in networking. The research of new solutions in networking is oriented to improve the user experience. Any application or service can be improved and the deployment of new solutions is mandatory to get the user satisfaction. However, different solutions exist; thus, it is necessary to select the most suitable ones. Nevertheless, this selection is difficult to make since the QoE is subjective and the comparison among different technologies is not trivial. The aim of this paper is to give an overview on how to perform fair QoE measurements to facilitate the study and research of new networking solutions and paradigms. However, previously to address this problem, an overview about how networking affects to the QoE is provided.

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“…In the AROMA testbed specifically a final decision on QoS is assigned to WQB which is detailed in next section. During Vertical Handovers (VHOs), handovers between different Radio Access Technologies (RATs), mobility management is important for QoS preservation [13]. However, the modules dealing with mobility are not directly participating in QoS negotiation and due to the limited space are not described in this paper.…”

Section: Qos Frameworkmentioning

confidence: 99%

“…In case that several RATs are suitable certain preferences must be extractable, usually expressed through resulting weights. In the case of NCCB algorithm, the nature of the algorithm itself bases on measurements on one RAT (UTRAN) and is assigning users to it or to GERAN accordingly (see [13]). This way the NCCB algorithm gives only one RAT as the possible solution for a user, disabling the possible change of preference by WQB through further communication with the CN.…”

Section: Decision Makingmentioning

confidence: 99%

End-to-edge QoS across Heterogeneous Wireless and Wired Domains

Vučević¹,

Bernardo²,

Umbert³

et al. 2008

Proceedings of the Fifth International ICST Conference on Heterogeneous Networking for Quality Reliability Security and Robustn

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Oriented to heterogeneity in every sense, next generation wireless networks are aimed to fulfil constantly increasing users' prospects. Relying on the all-IP paradigm, expectations suppose ubiquitous wireless access in heterogeneous networks. When efforts are made to make such an aspiration a reality, the main challenging issue raised is the need to seamlessly provide the user with an adequate Quality of Service (QoS) level. This paper gives detailed description of end-to-edge QoS approach in a heterogeneous wireless access network adopted in AROMA project and addresses the most important issues and observations that occurred during the implementation of such a solution in a real-time testbed. The paper gives some qualitative results on possibilities to implement coordinated interdomain QoS management by QoS mechanisms independently developed for radio and core network domains. Additionally, it gives an insight into real-time possibilities to track QoS provision across multiple domains revealing real-time behaviour before, during and after the system reconfiguration.

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Quality of experience evaluation under QoS-aware mobility mechanisms

Cited by 11 publications

References 15 publications

Quality of Service and Resource Allocation in WiMAX

Quality of Service and Resource Allocation in WiMAX

Fair Quality of Experience (QoE) Measurements Related with Networking Technologies

End-to-edge QoS across Heterogeneous Wireless and Wired Domains

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