Vienna surfing

Schatz, Raimund; Egger, Sebastian

doi:10.1145/2018602.2018608

Cited by 33 publications

(6 citation statements)

References 12 publications

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“…The most important aspect was determined to be the system's efficiency. In [11], the authors conducted MBB measurements over a three-week period in Vienna, Austria. They used two MBB services, online browsing and file downloads, which were exploited in the background via traffic shaping.…”

Section: Related Studies and Contributionmentioning

confidence: 99%

Measurements and Analyses of 4G/5G Mobile Broadband Networks: An Overview and a Case Study

El‐Saleh

Jahdhami

Alhammadi

et al. 2023

Wireless Communications and Mobile Computing

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Mobile data has become an integral part of everyday life, making Internet trends more and more profound and deeply embedded in life and the future. Mobile broadband (MBB) is one of the main aims of fifth-generation (5G) networks due to unprecedented growth in data demand. However, 5G networks are not yet deployed in many countries, whereas existing MBB networks, such as third generation (3G) and fourth generation (4G), are available in most world countries. As a result, there is a need to monitor and troubleshoot end-to-end network performance and ensure a better user experience. This paper provides an overview of MBB networks in terms of deployment environments, performance metrics, and implementation scenarios. It highlights the most important criteria for assessing MBB performance and the applications and measurement methods utilized, such as external and internal measurements and the classification of geographical areas. In addition, it provides measurement-based performance analyses of two existing mobile network operators (MNOs) (Omantel and Ooredoo) in the Sultanate of Oman. This performance analysis uses data measurements in various indoor and outdoor environments in five cities (Muscat, Ibra, Sur, Bahla, and Al kamil Wal Wafi). Several performance metrics are considered, such as signal level and quality, throughput, ping rate, and handover. Experimental results demonstrate that the 4G networks were the dominant networks in all measured locations for indoor and outdoor scenarios. Moreover, 5G data measurements are also recorded in the capital city of Oman, Muscat. The results of the 5G measurements show that both MNOs achieved a higher data rate with a lower ping rate.

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Section: Related Studies and Contributionmentioning

confidence: 99%

Measurements and Analyses of 4G/5G Mobile Broadband Networks: An Overview and a Case Study

El‐Saleh

Jahdhami

Alhammadi

et al. 2023

Wireless Communications and Mobile Computing

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“…Consequently, Web sites adapted for mobile access take into account not only design aspects (for example, responsive Web design [75], but aim to reduce loading times (for example, including fewer media components such as pictures or videos, or those of lower resolution) [32], since today users use their mobile devices in different contexts and environments, with increased performance expectations leading to decreased delay tolerance. There exist numerous Internet posts giving suggestions and advice on how to decrease waiting time in the mobile Web context, while several studies have addressed the impact of waiting time on user experience in the mobile context [5,47,59,95,103,104,116,133].…”

Section: System Influence Factorsmentioning

confidence: 99%

“…Web site loading time and number of taps respectively in that order differ in the degree to which they impact this perception of Web site loading time Number of taps, aesthetics of Web site, Web site loading time, and quality of Web site information respectively in that order differ in the degree to which they impact perceived usability Aesthetics of a Web site, number of taps, and quality of Web site information respectively in that order differ in the degree to which they impact the perception of aesthetics Quality of Web site information, aesthetics of Web site, and number of taps to reach desired Web content respectively in that order differ in the degree to which they impact the perception of quality of Web site information CPU central processing unit, HCI human computer interaction, PLT page load time, QoE quality of experience done by Reichl et al [93], Schatz and Egger [103], or Schatz et al [105]. The former approach enables researchers to exactly control waiting times as one of the main IFs, while the latter guarantees a more realistic web browsing experience for the user.…”

Section: Conclusion IImentioning

confidence: 99%

“…Further on, subjective user studies typically carried out by a test panel of real users in a laboratory environment are unique data collection methods of considered approaches. Several of them are being carried out in real world environments [103,105], by using data sets collected by cellular networks [1], while some by using crowdsourcing methodology [121,122]. Methods comprising laboratory settings have both advantages and disadvantages.…”

Section: Conclusion IIImentioning

confidence: 99%

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Survey of research on Quality of Experience modelling for web browsing

Baraković

Skorin‐Kapov

2017

Qual User Exp

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A significant amount of research has been published to date studying various measures and influence factors related to the user experience when browsing Web content on different devices. For the most part these studies come from two different communities: the Quality of Experience (QoE) community and the User Experience (UX) community, and span different disciplines. While the QoE community has primarily focused on technical aspects and subjective perception of waiting times, the UX community has been working on issues of acceptance, experience, and crucial design factors extensively for a long time. This paper aims to provide a survey of literature related to QoE modelling for Web browsing by addressing studies that deal with the impact of a wide set of system, context, and human influence factors. The survey shows that the QoE community has for the most part neglected relevant aspects studied by the UX community, which are needed for a more holistic understanding of Web QoE. On the other hand, UX studies may benefit from insights into research conducted in the QoE domain in terms of the impact of more technical factors on UX. Thus, by bridging these findings we argue the need for future multidisciplinary and multidimensional studies on Web QoE modelling, whose product, that is, multidimensional Web QoE models, are of interest to multiple stakeholders involved in the service delivery chain. Readers of this paper will benefit from a systematic analysis of surveyed papers, summary of key findings, and a discussion of open research topics that contribute to setting a research agenda in this domain.

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“…However, lab experiments miss out many important QoE influence factors such as usage context, content preferences by individual users, or device usability among others, potentially introducing differences w.r.t. evaluations conducted in the field [6]. Field trial experiments place the end-user and the evaluated components (i.e.…”

Section: Introductionmentioning

confidence: 99%

Next to You: Monitoring Quality of Experience in Cellular Networks From the End-Devices

Casas

Seufert

Wamser

et al. 2016

IEEE Trans. Netw. Serv. Manage.

Self Cite

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A quarter of the world population will be using smartphones to access the Internet in the near future. In this context, understanding the quality of experience (QoE) of popular apps in such devices becomes paramount to cellular network operators, who need to offer high-quality levels to reduce the risks of customers churning for quality dissatisfaction. In this paper, we address the problem of QoE provisioning in smartphones from a double perspective, combining the results obtained from subjective laboratory tests with end-device passive measurements and QoE crowd-sourced feedback obtained in operational cellular networks. The study addresses the impact of both access bandwidth and latency on the QoE of five different services and mobile apps: YouTube, Facebook, Web browsing through Chrome, Google Maps, and WhatsApp. We evaluate the influence of both constant and dynamically changing network access conditions, tackling in particular the case of fluctuating downlink bandwidth, which is typical in cellular networks. As a main contribution, we show that the results obtained in the laboratory are highly applicable in the live scenario, as mappings track the QoE provided by users in real networks. We additionally provide hints and bandwidth thresholds for good QoE levels on such apps, as well as discussion on end-device passive measurements and analysis. The results presented in this paper provide a sound basis to better understand the QoE requirements of popular mobile apps, as well as for monitoring the underlying provisioning network. To the best of our knowledge, this is the first paper providing such a comprehensive analysis of QoE in mobile devices, combining network measurements with users QoE feedback in laboratory tests, and operational networks.The research leading to these results has received funding from the European Union under the FP7 Grant Agreement no. 318627, "mPlane" project, as well as from the EU ICT Project INPUT (H2020-2014-ICT-644672). The work has been partially performed within the framework of the projects ACE 3.0 and N-0 at the Telecommunications Research Center Vienna (FTW), and has been partially funded by the Austrian Government and the City of Vienna through the program COMET. The work has also been partly funded by Deutsche Forschungsgemeinschaft (DFG) under grants HO4770/1-2, TR257/31-2 (OekoNet) and TR257/41-1.

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Vienna surfing

Cited by 33 publications

References 12 publications

Measurements and Analyses of 4G/5G Mobile Broadband Networks: An Overview and a Case Study

Measurements and Analyses of 4G/5G Mobile Broadband Networks: An Overview and a Case Study

Survey of research on Quality of Experience modelling for web browsing

Next to You: Monitoring Quality of Experience in Cellular Networks From the End-Devices

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