Quality of Experience Measurements for Video Streaming over Wireless Networks

Piamrat, Kandaraj; Viho, César; Bonnin, Jean-Marie; Ksentini, Adlen

doi:10.1109/itng.2009.121

Cited by 105 publications

(46 citation statements)

References 5 publications

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“…This choice seems reasonable and in accordance with other studies [4,5,7], since the radio access network represents very often the bottleneck of the entire network. Our analysis focuses on the possible relationship between the downstream throughput and the video quality experienced by users.…”

Section: Relationship Downstream Throughput-qoesupporting

confidence: 83%

“…Besides, it was asked them to see every day at least two or more video streaming on YouTube and CuboVision® (the TelecomItalia video platform) and answer to the instant polls sent by TeleAbarth servers some minutes after the fruition of a video streaming. These instant polls concerned: (i) possible problems users encountered during the video streaming, such as video freezing, blockiness, sluggishness of video opening, non-optimal audio; perceived video loading time: immediate (under 2 seconds), fast (between 3 and 4 seconds), moderate (between 5 and 10 seconds), slow (above 10 seconds); (iii) the Mean Opinion Score of quality in a scale between Bad (1) and Excellent (5).…”

Section: Data Collection: Teleabarthmentioning

confidence: 99%

“…Firstly, QoE allows operators to efficiently exploit current network resources. As pointed out in [4,5,6,7], the link between QoS and QoE is far from linear; this means that an improvement of a relevant QoS parameter (bandwidth, delay, jitter, bit error rate etc.) does not entail a corresponding improvement, if any, in the user perception.…”

Section: Introductionmentioning

confidence: 99%

“…Up to the authors' knowledge, this is one of the first attempts to study the correlation between QoS and QoE using measurements obtained from a real, operational mobile network and from users not gathered in a laboratory, thus entailing a great significance of the achieved results. In other works the communication channel was only simulated and users' feedback was collected inside laboratories with predetermined trials [5,7] or was computed automatically [4]. Reference [6] used data obtained from a real fixed network, but it was impossible to trace measures back to correspondent users.…”

Section: Introductionmentioning

confidence: 99%

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A smartphone agent for qoe evaluation and user classification over mobile networks

Verdolini

Petrangeli

2013

2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX)

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The continuous growth of mobile users and bandwidth-consuming applications and the shortage of radio resources put a serious challenge on how to efficiently exploit existing networks and contemporary improve Quality of Experience. One of the most relevant problem for network operators is thus to find an explicit relationship between QoS and QoE, for the purpose of maximizing the latter while saving precious resources. In order to accomplish this challenging task, we present TeleAbarth, an innovative Android application entirely developed at TelecomItalia Laboratories, able to contemporary collect network measurements and end-users quality feedback regarding the use of smartphone applications. We deployed TeleAbarth in a field experimentation in order to study the relationship between QoS and QoE for video streaming applications, in terms of downstream bandwidth and video loading time. On the basis of the results obtained, we propose a technique to classify user behavior through his or her reliability, sensibility and fairness.

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Section: Relationship Downstream Throughput-qoesupporting

confidence: 83%

Section: Data Collection: Teleabarthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A smartphone agent for qoe evaluation and user classification over mobile networks

Verdolini

Petrangeli

2013

2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX)

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“…In order overcome the limitations of current QoS-aware measurement schemes regarding subjective aspects related to human perception and to enable more accurate assessment of the quality experienced by users, Quality of Experience techniques have been introduced [9,10]. QoE measurement operations in wired and wireless system can be used as an indicator of how a networking environment meets the end-user needs.…”

Section: Introductionmentioning

confidence: 99%

An Overview of Quality of Experience Measurement Challenges for Video Applications in IP Networks

Serral-Gracià

Cerqueira

Curado

et al. 2010

Lecture Notes in Computer Science

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Abstract. The increase in multimedia content on the Internet has created a renewed interest in quality assessment. There is however a main difference from the traditional quality assessment approaches, as now, the focus relies on the user perceived quality, opposed to the network centered approach classically proposed. In this paper we overview the most relevant challenges to perform Quality of Experience (QoE) assessment in IP networks and highlight the particular considerations necessary when compared to alternative mechanisms, already deployed, such as Quality of Service (QoS). To assist on the handling of such challenges we first discuss the different approaches to Quality of Experience assessment along with the most relevant QoE metrics, and then we discuss how they are used to provide objective results about user satisfaction.

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