IEEE Organizations related to Quality Of Experience

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Conferences related to Quality Of Experience

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2020 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.


2019 IEEE International Symposium on Multimedia (ISM)

Multimedia Content Understanding, Modeling, Management, andRetrieval• Multimedia meta-modeling techniques• Multimedia storage systems, databases, and retrieval• Multimedia data segmentation• Image, audio, video, genre clustering & classification• Video summarization and story generation• Speaker identification, recognition, and location• Object, event, emotion, text detection and recognition• Mosaic, video panorama and background generation• Multimedia semantics, ontologies, annotation, concept detection andlearning• Personalization and user preferences• 3D and depth information• Viewer perception, emotion analysis and visual attention• Multimedia datasets and open source code for research• Multimedia recommender systems• Fake multimedia detectionMultimedia Interfaces• Multimedia information visualization and interactive systems• Multimodal user interfaces: design, engineering, modality-abstractions,etc.• Multimedia tools for authoring, analyzing, editing

  • 2000 International Workshop on Multimedia Software Engineering (MSE 2000)

  • 2002 International Workshop on Multimedia Software Engineering (MSE 2002)

  • 2003 International Workshop on Multimedia Software Engineering (MSE 2003)

  • 2004 IEEE International Symposium on Multimedia Software Engineering (MSE)

  • 2005 IEEE International Symposium on Multimedia (ISM) (Formerly MSE)

  • 2006 IEEE International Symposium on Multimedia (ISM) (Formerly MSE)

  • 2007 IEEE International Symposium on Multimedia (ISM) (Formerly MSE)

  • 2008 IEEE International Symposium on Multimedia (ISM) (Formerly MSE)

    The IEEE International Symposium on Multimedia (ISM2008) is an international forum for researchers to exchange information regarding advances in the state of the art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing.

  • 2009 IEEE International Symposium on Multimedia (ISM)

    The IEEE International Symposium on Multimedia (ISM2009) is an international forum for researchers to exchange information regarding advances in the state of the art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing. The technical program of ISM2009 will consist of invited talks, paper presentations, and panel discussions.

  • 2010 IEEE International Symposium on Multimedia (ISM)

    The IEEE International Symposium on Multimedia (ISM2010) is an international forum for researchers to exchange information regarding advances in the state-of-the-art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing. The technical program of ISM2010 will consist of invited talks, paper presentations, and panel discussions.

  • 2011 IEEE International Symposium on Multimedia (ISM)

    The IEEE International Symposium on Multimedia (ISM2011) is an international forum for researchers to exchange information regarding advances in the state of the art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing. The technical program of ISM2011 will consist of invited talks, paper presentations, and panel discussions. Submissions are solicited for full papers, workshop papers, technical demos, and panels.

  • 2012 IEEE International Symposium on Multimedia (ISM)

    Multimedia systems, architecture, and applications, Multimedia networking and QoS, Peer-to-peer multimedia systems and streaming, Pervasive and interactive multimedia systems including mobile systems, pervasive gaming, and digital TV, Multimedia meta-modeling techniques and operating systems, Architecture specification languages, Software development using multimedia techniques, Multimedia signal processing including audio, video, image processing and coding, Multimedia Information Visualization and Interactive Systems, Virtual Reality, Multimedia file systems, databases, and retrieval, Multimedia collaboration, Multimedia in social network analysis, Rich media enabled E-commerce, Computational intelligence including neural networks, fuzzy logic, and genetic algorithms, Intelligent agents for multimedia content creation, distribution and analysis, Internet telephony and hypermedia technologies and systems, Multimedia security including digital watermark and encryption.

  • 2013 IEEE International Symposium on Multimedia (ISM)

    The IEEE International Symposium on Multimedia (ISM2013) is an international forum for researchers to exchange information regarding advances in the state of the art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing. The technical program of ISM2013 will consist of invited talks, paper presentations, and panel discussions. Submissions are solicited for full papers, short papers, workshop papers, technical demos, and panels.

  • 2014 IEEE International Symposium on Multimedia (ISM)

    The IEEE International Symposium on Multimedia (ISM2014) is an international forum for researchers to exchange information regarding advances in the state of the art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing. The technical program of ISM2014 will consist of invited talks, paper presentations, and panel discussions. Submissions are solicited for full papers, short papers, workshop papers, technical demos, and panels.AREAS OF INTEREST INCLUDE (but are not limited to):Multimedia Systems and ArchitecturesMultimedia Communications and StreamingMultimedia InterfacesMultimedia Coding, Processing, and Quality MeasurementMultimedia SecurityMultimedia Content Understanding, Modeling, Management, and RetrievalMultimedia Applications

  • 2015 IEEE International Symposium on Multimedia (ISM)

    Multimedia Systems and Architectures, Multimedia Communications and Streaming, media interfaces, coding, processing, and information retrieval, multimedia quality, multimedia security, mobile multimedia, novel multimedia applications

  • 2016 IEEE International Symposium on Multimedia (ISM)

    Mobile Systems and Services Pervasive and interactive media systems including mobile systems, pervasive gaming, and digital TVData in the CloudGPU-based architectures and systemsSoftware development using multimedia techniquesArchitectures for multimodal dataSystems for multimedia search, retrieval, and managementMultimedia cloud computingMultimedia big dataMultimedia over ICN/NDN/CCNCloud gamingQoS for multimedia computing systemsMobile multimedia systems and applicationsHuman computer interface for multimedia systems and applicationsSocial TVMobile visual searchMobile augmented realityMedia coding and compact representations for mobile devicesMobile multimedia analysis and understandingPerformance and user experience studies of multimedia applications in a mobilecontextUse of motion, position, and environmental sensors for multimedia applicationsInteractive mobile multimedia applicationsMultimedia systems for wearabl

  • 2017 IEEE International Symposium on Multimedia (ISM)

    The 19th IEEE International Symposium on Multimedia (ISM2017) is the flagship conference of IEEE Technical Committee on Multimedia (TCMC) and an international forum for researchers to exchange information regarding advances in the state of the art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing. The technical program of ISM2017 will consist of invited talks, paper presentations, and panel discussions. Submissions are solicited for full papers and workshop papers. Topics for submission include but are not limited to:Systems and ArchitecturesCommunications and StreamingMultimedia InterfacesMedia Coding, Processing, and Quality MeasurementMultimedia Security and ForensicsContent Understanding, Modeling, Management, and RetrievalMobile MediaApplications

  • 2018 IEEE International Symposium on Multimedia (ISM)

    Research in multimedia computing is generally concerned with presentation, integration and computation of one or more media, such as text, image, graphics, audio, video, social data, and data collected from various sensors, etc., using computing techniques. The 20th IEEE International Symposium on Multimedia is the flagship conference of IEEE Technical Committee on Multimedia and an international forum for researchers to exchange information regarding advances in the state of the art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing. The technical program of ISM2018 will consist of invited talks, paper presentations, and panel discussions. Submissions are solicited for full papers and workshop papers.


2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)

The Eleventh International Conference on Quality of Multimedia Experience will bring together leading experts from academia and industry to present and discuss current and future research on multimedia quality, quality of experience (QoE) and user experience (UX). This way, it will contribute towards an integrated view on QoE and UX, and foster the exchange between the so-far distinct communities.

  • 2009 International Workshop on Quality of Multimedia Experience (QoMEX 2009)

    The first international workshop on Quality of Multimedia Experience, which will be held in San Diego, July 29-31 2009, is a forum to gather experts to present the latest developments on quality of multimedia experience. QoMEX 09 features oral presentations, exhibits, panels and poster sessions about the latest developments in the area.

  • 2010 Second International Workshop on Quality of Multimedia Experience (QoMEX 2010)

    The second International Workshop on Quality of Multimedia Experience (QoMEX) will bring together leading professionals and scientists who are developing methods for evaluating multimedia quality and user experience.

  • 2011 Third International Workshop on Quality of Multimedia Experience (QoMEX 2011)

    The third International Workshop on Quality of Multimedia Experience (QoMEX) will bring together leading professionals and scientists who are developing methods for evaluating multimedia quality and user experience. Typically, multimedia processing algorithms are evaluated using objective metrics or through subjective testing in a controlled environment. However, perceived user experience is psychological in nature and changes in different environmental and social conditions and with different multimedia devices. Therefore, new techniques are needed to assess and enhance multimedia experience from the user perspective. QoMEX is an international forum to gather experts from academia and industry to present the latest developments on evaluation of multimedia quality based on user experience. QoMEX 11 features oral presentations, exhibits, panels and poster sessions in order to provide attendees with various channels to exchange and acquire information about the latest developments and future trends in the field

  • 2012 Fourth International Workshop on Quality of Multimedia Experience (QoMEX 2012)

    QoMEX 2012 will bring together leading professionals and scientists interested in evaluating multimedia quality and user experience. Objective and subjective evaluation of audio, video or image content is well known, but increasingly, evaluation approaches of mixed content include psychological, perceptual and contextual dimensions to truly represent and measure users experiences.

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

    The fifth international workshop on Quality of Multimedia Experience (QoMEX) will bring together leading professionals and scientists interested in evaluating multimedia quality and user experience. Multimedia is a ubiquitous part of modern life; content is delivered to a wide variety of devices both fixed and mobile, the consumption environment can vary dramatically, and users increasingly demand fulfilling interaction with their media. Evaluation, both objective and subjective, of separate audio, video, or image content is well established, but there are substantial challenges in assessing users' experiences of mixed content. This is exacerbated by the diversity of devices, interfaces, consumption environments, and content prevalent in today

  • 2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX)

    QoMEX brings together leading professionals and scientists interested in evaluating multimedia quality and user experience.

  • 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)

    QoMEX addresses theory and applications of measuring the quality of user experiences, based on both objective and subjective psychophysiological measures.

  • 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)

    QoMEX will address theory and applications of measuring the quality of user experiences, based on both objective and subjective psychophysiological approaches.

  • 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)

    The 9th International Conference on Quality of Multimedia Experience (QoMEX 2017) will bring together leading experts from academia and industry to present and discuss current research on multimedia quality, quality of experience (QoE) and user experience. The conference will be held in form of oral, poster and plenary sessions, comprising dedicated special sessions on trending topics.

  • 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)

    The primary goal of the conference is to bring together leading professionals and scientists in multimedia quality and user experience from around the world.


2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

Intelligent Communication Systems, IoT, Multimedia and Systems, Image Processing, Intelligent Signal Processing, AI, Big Data, VLSI, Circuits and Systems, and Emerging Technologies in Signal Processing and Communication.


2018 International Symposium on Consumer Technologies (ISCT)

IEEE ISCT International Symposium on Consumer Technologies (former International Symposium on Consumer Electronics) is the established forum for innovative research in all technology areas of consumer electronics. The theme of ISCT 2018 is “Consumer Technologies in 10 years”.Paper contributions are sought in but are not limited to following areas:Internet of Things and Internet of Everywhere (IoT)Consumer Healthcare Systems (CHS)Energy Management of CE Hardware and Software Systems (EMC)Application-Specific CE for Smart Cities (SMC)Artificial Intelligence in Consumer Technologies (AIC)Consumer Technologies Quality and Testing (CTQ)Telecom, RF, Wireless, and Network Technologies (WNT)AV Systems, Image and Video, and Cameras and Acquisition (AVS)CE Sensors and MEMS (CSM)Smartphone and Mobile Device Technologies (MDT)Entertainment, Gaming, and Virtual and Augmented Reality (EGV)Other Technologies Related with CE (MIS)Education in Consumer Technologies Area (EDU)



Periodicals related to Quality Of Experience

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Most published Xplore authors for Quality Of Experience

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Xplore Articles related to Quality Of Experience

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Green Resource Allocation based on Deep Reinforcement Learning in Content-Centric IoT

IEEE Transactions on Emerging Topics in Computing, None

In the era of information, the green services of content-centric IoT are expected to offer users the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT. Nevertheless, the network traffic and new demands from IoT users increase along with the promising of the content- centric computing system. Therefore, the satisfaction of QoE will become the major ...


Mobile Edge Computing-Based Data Driven Deep Learning Framework for Anomaly Detection

IEEE Access, None

5G is anticipated to embed an artificial intelligence (AI)-empowerment to adroitly plan, optimize and manage the highly complex network by leveraging data generated at different positions of the network architecture. Outages and situation leading to congestion in a cell pose severe hazard for the network. High false alarms and inadequate accuracy are the major limitations of modern approaches for the ...


SQoE KQIs anomaly detection in cellular networks: Fast online detection framework with Hourglass clustering

China Communications, 2018

The explosive growth of data volume in mobile networks makes fast online diagnose a pressing search problem. In this paper, an object-oriented detection framework with a two-step clustering, named as Hourglass Clustering, is given. Where three object parameters are chosen as Synthetical Quality of Experience (SQoE) Key Quality Indicators (KQIs) to reflect accessibility, integrality, and maintainability of networks. Then, we ...


Heterogeneous quality of experience guarantees over wireless networks

China Communications, 2018

Quality of experience (QoE), which is very critical for the experience of users in wireless networks, has been extensively studied. However, due to different human perceptions, quantifying the effective capacity of wireless network subject to diverse QoE is very difficult, which leads to many new challenges regarding QoE guarantees in wireless networks. In this paper, we formulate the QoE guarantees ...


A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities

2018 IEEE International Smart Cities Conference (ISC2), 2018

Smart City requires an intelligent and efficient network to provide services with good quality-of-experience (QoE). In this paper, we propose to develop a secure and distributed network QoE measurement for smart networks in Smart Cities. Network measurement capability has been updated gradually as the network technology progresses. For example, software-defined network will enable efficient monitoring and control of the core ...



Educational Resources on Quality Of Experience

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IEEE-USA E-Books

  • Green Resource Allocation based on Deep Reinforcement Learning in Content-Centric IoT

    In the era of information, the green services of content-centric IoT are expected to offer users the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT. Nevertheless, the network traffic and new demands from IoT users increase along with the promising of the content- centric computing system. Therefore, the satisfaction of QoE will become the major challenge in the content-centric computing system for IoT users. In this article, to enhance the satisfaction of QoE, we propose QoE models to evaluate the qualities of the IoT concerning both network and users. The value of QoE does not only refer to the network cost, but also the Mean Opinion Score (MOS) of users. Therefore, our models could capture the influence factors from network cost and services for IoT users based on IoT conditions. Specially, we mainly focus on the issues of cache allocation and transmission rate. Under this content-centric IoT, aiming to allocate the cache capacity among content- centric computing nodes and handle the transmission rates under a constrained total network cost and MOS for the whole IoT, we devote our efforts to the following two aspects. First, we formulate the QoE as a green resource allocation problem under the different transmission rate to acquire the best QoE. Then, in the basis of the node centrality, we will propose a suboptimal dynamic approach, which is suitable for IoT with content delivery frequently. Furthermore, we present a green resource allocation algorithm based on Deep Reinforcement Learning (DRL) to improve accuracy of QoE adaptively. Simulation results reveal that our proposals could achieve high QoE performance for content-centric IoT.

  • Mobile Edge Computing-Based Data Driven Deep Learning Framework for Anomaly Detection

    5G is anticipated to embed an artificial intelligence (AI)-empowerment to adroitly plan, optimize and manage the highly complex network by leveraging data generated at different positions of the network architecture. Outages and situation leading to congestion in a cell pose severe hazard for the network. High false alarms and inadequate accuracy are the major limitations of modern approaches for the anomaly—outage and sudden hype in traffic activity that may result in congestion—detection in mobile cellular networks. This indicates wasting limited resources that ultimately leads to an elevated operational expenditure (OPEX) and also interrupting quality of service (QoS) and quality of experience (QoE). Motivated by the outstanding success of deep learning (DL) technology, our study applies it for detection of the above-mentioned anomalies and also supports mobile edge computing (MEC) paradigm in which core network (CN)’s computations are divided across the cellular infrastructure among different MEC servers (co-located with base stations), to relief the CN. Each server monitors user activities of multiple cells and utilizes L-layer feedforward deep neural network (DNN) fueled by real call detail record (CDR) dataset for anomaly detection. Our framework achieved 98.8% accuracy with 0.44% false positive rate (FPR)—notable improvements that surmount the deficiencies of the old studies. The numerical results explicate the usefulness and dominance of our proposed detector.

  • SQoE KQIs anomaly detection in cellular networks: Fast online detection framework with Hourglass clustering

    The explosive growth of data volume in mobile networks makes fast online diagnose a pressing search problem. In this paper, an object-oriented detection framework with a two-step clustering, named as Hourglass Clustering, is given. Where three object parameters are chosen as Synthetical Quality of Experience (SQoE) Key Quality Indicators (KQIs) to reflect accessibility, integrality, and maintainability of networks. Then, we choose represented Key Performance Indicators (rKPIs) as cause parameters with correlation analysis. For these two kinds of parameters, a hybrid algorithm combining the self- organizing map (SOM) and k-medoids is used for clustering them into different types. We apply this framework to online anomaly detection in Cellular Networks, named SQoE-driven Anomaly Detection and Cause Location System (SQoE- ADCL). Our experiments with real 4G data show that besides fast online detection, SQoE-ADCL makes a better soft decision instead of a traditional hard decision. Furthermore, it is also a general way of being applied to other similar applications in big data.

  • Heterogeneous quality of experience guarantees over wireless networks

    Quality of experience (QoE), which is very critical for the experience of users in wireless networks, has been extensively studied. However, due to different human perceptions, quantifying the effective capacity of wireless network subject to diverse QoE is very difficult, which leads to many new challenges regarding QoE guarantees in wireless networks. In this paper, we formulate the QoE guarantees model for cellular wireless networks. Based on the model, we convert the effective capacity maximization problem into the equivalent convex optimization problem. Then, we develop the optimal QoE- driven power allocation scheme, which can maximize the effective capacity. The obtained simulation results verified our proposed power allocation scheme, showing that the effective capacity can be significantly increased compared with that of traditional QoE guarantees based schemes.

  • A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities

    Smart City requires an intelligent and efficient network to provide services with good quality-of-experience (QoE). In this paper, we propose to develop a secure and distributed network QoE measurement for smart networks in Smart Cities. Network measurement capability has been updated gradually as the network technology progresses. For example, software-defined network will enable efficient monitoring and control of the core network. However, end-to- end network QoE measurement requires distributed approaches from the user side. In our proposed measurement framework, a traffic measurement agent is deployed in the last-hop gateway. The gateway is equipped with new features, i.e., encrypted packet classifier, traffic prediction, and user quality-of- service (QoS) to QoE mappings. Since all measurement process is done at the gateway, end user devices are separated from the entire process. Thus security can be provided by the proposed measurement framework. In addition to the framework, we demonstrated a efficient learning approach to develop the traffic prediction scheme and the QoS to QoE mapping scheme. Experiments results demonstrated that the developed schemes are applicable to a distributed network QoS measurement framework for Smart City network services.

  • Double-matching resource allocation strategy in fog computing networks based on cost efficiency

    Fog computing is an advanced technique to decrease latency and network congestion, and provide economical gains for Internet of Things (IoT) networks. In this paper, we investigate the computing resource allocation problem in three-layer fog computing networks. We first formulated the resource allocation problem as a double two-sided matching optimization problem. Then, we propose a double-matching strategy for the resource allocation problem in fog computing networks based on cost efficiency, which is derived by analysing the utility and cost in fog computing networks. The proposed double-matching strategy is an extension of the deferred acceptance algorithm from two-side matching to three-side matching. Numerical results show that high cost efficiency performance can be achieved by adopting the proposed strategy. Furthermore, by using the proposed strategy, the three participants in the fog computing networks could achieve stable results that each participant cannot change its paired partner unilaterally for more cost efficiency.

  • QoE enhancement schemes for video in converged OFDMA wireless networks and EPONS

    Bandwidth requirements of both wireless and wired clients in access networks continue to increase rapidly, primarily due to the growth of video traffic. Application awareness can be utilized in access networks to optimize quality of experience (QoE) of end clients. In this study, we utilize information at the client-side application (e.g., video resolution) to achieve superior resource allocation that improves user QoE. We emphasize optimizing QoE of the system rather than quality of service (QoS), as user satisfaction directly relies on QoE and optimizing QoS does not necessarily optimize QoE, as shown in this study. We propose application-aware resource-allocation schemes on an Ethernet passive optical network (EPON), which supports wireless (utilizing orthogonal frequency division multiple access) and wired clients running video-conference applications. Numerical results show that the application- aware resource-allocation schemes improve QoE for video-conference applications for wired and wireless clients.

  • Optimal voice packet classification for enhanced VoIP over priority-enabled networks

    This paper proposes a method for optimal classification of voice packets to enhance the quality of voice communications over priority-enabled networks when poor transmission conditions occur. Either high or low priority is assigned to each packet according to the relevance of its payload (voice segment) for the voice intelligibility. Then, in case of constrained networking conditions, by discarding first the voice packets of lower importance, the network always delivers those segments that most contribute to the perceptual quality. The proposed method is based on a dynamic programming optimisation algorithm that finds the optimal subset of m high priority voice segments in each utterance of size n > m. Such optimal subset minimizes the reconstruction distortion over all possible subsets with the same size m (i.e., the distortion incurred by a utterance reconstructed from only m segments). The simulation results show that the proposed method consistently achieves higher mean opinion scores (MOS) in comparison with non-selective packet drop under the same random network loss conditions, yielding better quality of experience (QoE) for the same packet loss rates (PLR). The priority classification algorithm is independent from error concealment methods and distortion metrics used in the optimisation process, which allows generalisation for diverse communication networks and applications.

  • Predicting the effect of home Wi-Fi quality on QoE

    Poor Wi-Fi quality can disrupt home users' internet experience, or the Quality of Experience (QoE). Detecting when Wi-Fi degrades QoE is extremely valuable for residential Internet Service Providers (ISPs) as home users often hold the ISP responsible whenever QoE degrades. Yet, ISPs have little visibility within the home to assist users. Our goal is to develop a system that runs on commodity access points (APs) to assist ISPs in detecting when Wi-Fi degrades QoE. Our first contribution is to develop a method to detect instances of poor QoE based on the passive observation of Wi-Fi quality metrics available in commodity APs (e.g., PHY rate). We use support vector regression to build predictors of QoE given Wi-Fi quality for popular internet applications. We then use K-means clustering to combine per-application predictors to identify regions of Wi-Fi quality where QoE is poor across applications. We call samples in these regions as poor QoE samples. Our second contribution is to apply our predictors to Wi-Fi metrics collected over one month from 3479 APs of customers of a large residential ISP. Our results show that QoE is good most of the time, still we find 11.6% of poor QoE samples. Worse, approximately 21% of stations have more than 25% poor QoE samples. In some cases, we estimate that Wi-Fi quality causes poor QoE for many hours, though in most cases poor QoE events are short.

  • A Novel Comprehensive Quality Index QoX and the Corresponding Context-aware System Framework

    Context-aware systems are becoming increasingly popular and are widely used in many areas such as smart healthcare, digital home, and so on. The existing context-aware system frameworks mainly focus on the improvement of organization mode of the system modules, but they normally lack a quantitative and comprehensive quality index to describe and evaluate the overall system performance. In this paper, QoX is innovatively defined as a comprehensive quality index that combines quality of device (QoD), quality of context (QoC), quality of service (QoS) and quality of experience (QoE). Meanwhile, QoX is integrated into the context-aware system and a context-aware system framework based on QoX is proposed, which provides an effective model for rational use of context and optimal system design. Besides, by studying the relation among QoX related indicators, systems can actively adjust various preset thresholds and rules according to the changes of users' needs and environmental conditions, which would make systems more reliable and adaptive and provide users with personalized and intelligent services.



Standards related to Quality Of Experience

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