Survey on QoE Assessment Approach for Network Service

Yang, Mingzhe; Wang, Shangguang; Calheiros, Rodrigo N.; Yang, Fangchun

doi:10.1109/access.2018.2867253

Cited by 40 publications

(40 citation statements)

References 51 publications

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“…To consider the user satisfaction in the context of realtime video streaming applications, QoS is no longer sufficient to evaluate the quality. Therefore, researches have been conducted to assess the QoE [19]. In this section, we will address the developed techniques to measure the QoE [20].…”

Section: Measurements Approachesmentioning

confidence: 99%

Quality of Experience for Streaming Services: Measurements, Challenges and Insights

et al. 2020

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Over the last few years, the evolution of network and user handsets' technologies, have challenged the telecom industry and the Internet ecosystem. Especially, the unprecedented progress of multimedia streaming services like YouTube, Vimeo and DailyMotion resulted in an impressive demand growth and a significant need of Quality of Service (QoS) (e.g., high data rate, low latency/jitter, etc.). Mainly, numerous difficulties are to be considered while delivering a specific service, such as a strict QoS, human-centric features, massive number of devices, heterogeneous devices and networks, and uncontrollable environments. Thenceforth, the concept of Quality of Experience (QoE) is gaining visibility, and tremendous research efforts have been spent on improving and/or delivering reliable and addedvalue services, at a high user experience. In this paper, we present the importance of QoE in wireless and mobile networks (4G, 5G, and beyond), by providing standard definitions and the most important measurement methods developed. Moreover, we exhibit notable enhancements and controlling approaches proposed by researchers to meet the user expectation in terms of service experience.

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Section: Measurements Approachesmentioning

confidence: 99%

Quality of Experience for Streaming Services: Measurements, Challenges and Insights

et al. 2020

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“…Quality of Experience (QoE) is a set of human-centric metrics that captures the overall acceptability or unacceptability of the service or application by end users, which includes the end-to-end factors [26]. The QoE is affected by various factors of experience that are grouped in three main categories: human, system, and context influence factors [26], [27]. The influence factors of QoE in video streaming are summarized in Figure 3.…”

Section: Influence Factors Of Qoe In Video Streamingmentioning

confidence: 99%

“…For network service evaluation, a number of models and tools have been proposed in QoE modeling, monitoring (assessment) and management with the exploration of many influencing factors. [27].…”

Section: Qoe Applications In Video Streamingmentioning

confidence: 99%

Survey on QoE/QoS Correlation Models for Video Streaming over Vehicular Ad-hoc Networks

2019

CIT. J. comput. inf. technol

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Vehicular Ad-hoc Networks (VANETs) are a new emerging technology which has attracted enormous interest over the last few years. It enables vehicles to communicate with each other and with roadside infrastructures for many applications. One of the promising applications is multimedia services for traffic safety or infotainment. The video service requires a good quality to satisfy the end-user known as the Quality of Experience (QoE). Several models have been suggested in the literature to measure or predict this metric. In this paper, we present an overview of interesting researches, which propose QoE models for video streaming over VANETs. The limits and deficiencies of these models are identified, which shed light on the challenges and real problems to overcome in the future.

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“…QoE is categorized into two approaches, one is subjective and other is objective [22,23]. User reviews, web Asif Ali Laghari et al 2 survey or questionnaire, and interviews are the ways of taking subjective QoE and QoS data and human physiological data is part of objective QoE [24,25,26].…”

Section: Introductionmentioning

confidence: 99%

Effect of Packet Loss and Reorder on Quality of Audio Streaming

Laghari¹,

Laghari²,

Wagan³

et al. 2018

ICST Transactions on Scalable Information Systems

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In this paper, Audio QoE assessment experiments were conducted by using network parameters such as packet loss and reorder. The network model was created by using three computers, which includes sender, receiver, and middle between Linux based router machines was configured. NetEm tool was used to disturb the on-going network traffic to real-time packet loss and reorder in the broadcasting environment. VLC player was used to broadcasting and recording audio from sender to receiver machines and audios were presented to users to listen, and assign ratings according to their level of satisfaction. The results show the user's satisfaction level is decreased when packet loss and reorder level is increased in audio streams. The user accepted a certain level of network traffic disturbance, however, the increment of disturbance in network traffic damage the audio quality below the then acceptable level. This research work will help to cloud service providers to provide QoE to users according to singed in service level agreements.

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Survey on QoE Assessment Approach for Network Service

Cited by 40 publications

References 51 publications

Quality of Experience for Streaming Services: Measurements, Challenges and Insights

Quality of Experience for Streaming Services: Measurements, Challenges and Insights

Survey on QoE/QoS Correlation Models for Video Streaming over Vehicular Ad-hoc Networks

Effect of Packet Loss and Reorder on Quality of Audio Streaming

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