Research on QoE Evaluation for Mobile Streaming Service over LTE Network

2014 ◽  
Vol 556-562 ◽  
pp. 5488-5492 ◽  
Author(s):  
Ya Jun Huang ◽  
We Nan Zhou ◽  
Li Yan You ◽  
Jian Chen ◽  
Yu Du
Keyword(s):  
Quality Of Experience ◽  
Exponential Model ◽  
Lte Network ◽  
Mobile Networking ◽  
Opinion Score ◽  
Network Transmission ◽  
The Mean ◽  
Streaming Service ◽  
Multiple Qos

The Quality of Experience (QoE) evaluation for mobile streaming service over LTE network is essential for mobile networking development. However, few QoE researches for mobile streaming service focus on LTE network. Based on the research of QoE for mobile streaming service over other networks, this paper achieves the simulation for network transmission for different videos using H.264 format on the ns-3 LTE simulation platform. What’s more, exponential model fittings are performed for not only single Quality of Service (QoS) parameter and QoE, but also multiple QoS parameters and QoE. Simulation results show that the network parameters and the Mean Opinion Score (MOS) of QoE have strong exponential relationships for streaming service over LTE network.

Pragmatic Correlations of Quality-of-Experience and Quality-of-Service in IMS-Based IPTV Network

2013 ◽  
Vol 4 (1) ◽  
pp. 29-42 ◽  
Author(s):  
Thu-Huong Truong ◽  
Nguyen Huu Thanh ◽  
Nguyen Tai Hung
Keyword(s):  
Quality Of Service ◽  
Quality Of Experience ◽  
Added Value ◽  
Monitoring And Control ◽  
Qos Parameters ◽  
Service Mapping ◽  
Streaming Service ◽  
And Control ◽  
Multiple Qos

To let the service system react quickly on customers’ perception or user experience while using the service, mapping functions between Quality of Experience (QoE) and Quality of Service (QoS) are strongly required in purpose of building up an intelligent QoE control system upon adjusting QoS parameters. This article studies the changing behavior of QoE with respect to changes of QoS parameters in the context of video streaming service in an IP Multimedia Subsystem-based IP Television network (IMS-based IPTV network). The article is, in fact, an extended version of the paper published by the same authors (Thu-Huong Truong, 2012). In (Thu-Huong Truong, 2012), the authors studied QoE in both terms of Mean Opinion Scores and VQM as functions of each single QoS parameter such as: loss, jitter, and delay. In this extended content, the correlation between QoE and multiple QoS parameters will be introduced. The QoE-QoS correlation could be a significant first step to build a smart QoE monitoring and control mechanism as an added value to promote the IMS-based IPTV network.

scholarly journals Enhancing Quality of Experience in Malay Language Dyslexia Screening Test

2021 ◽  
Vol 15 ◽  
pp. 99-103
Author(s):  
Muhammad Hanif Jofri ◽  
Mohd Norasri Ismail ◽  
Mohd Farhan Md Fudzee ◽  
Muhammad Hatta Mohamed Ali @ Md Hani
Keyword(s):  
Special Education Teachers ◽  
School System ◽  
Screening Test ◽  
Quality Of Experience ◽  
Screening Tests ◽  
Usual Practice ◽  
Mean Values ◽  
Opinion Score ◽  
The Mean

Identifying dyslexia among Malaysian citizens, especially children nowadays is a prominent issue. The usual practice of dyslexia screening tests in the Malaysian school system is by teacher's observation and intervention. However, this is usually time-consuming, less accurate and lacking additional supporting tools. Moreover, dyslexic children enrolling in a normal education system will encounter many problems for the teacher and the children themselves. A Malay language mobile-based application for a dyslexia screening test named Kiddo Disleksia has been developed to solve this issue. However, it has not been tested in terms of Quality of Experience (QoE) as well as usability. Therefore, this research aims to test the QoE level of Kiddo Disleksia and also to compare the traditional dyslexia screening test with Kiddo Disleksia in terms of usability. To test the QoE, several special education teachers are required to rate Kiddo Disleksia using Mean Opinion Score (MOS). Ten children were tested using Kiddo Disleksia and 80% of them recognized as dyslexic. This result also similar with the traditional paper-based screening test. Therefore, the Kiddo Disleksia application is considered reliable for dyslexia screening tests for children. For QoE, the results show that the mean values of MOS are 3.9 and above. Therefore, the quality of experience during dyslexia screening tests can be enhanced using Kiddo Disleksia.

scholarly journals Real-Time QoE Monitoring System for Video Streaming Services with Adaptive Media Playout

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Mingfu Li ◽  
Chien-Lin Yeh ◽  
Shao-Yu Lu
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Monitoring System ◽  
Quality Of Experience ◽  
Experimental Results ◽  
Media Player ◽  
Opinion Score ◽  
Streaming Services ◽  
The Mean

Quality of Experience (QoE) of video streaming services has been attracting more and more attention recently. Therefore, in this work we designed and implemented a real-time QoE monitoring system for streaming services with Adaptive Media Playout (AMP), which was implemented into the VideoLAN Client (VLC) media player to dynamically adjust the playout rate of videos according to the buffer fullness of the client buffer. The QoE monitoring system reports the QoE of streaming services in real time so that network/content providers can monitor the qualities of their services and resolve troubles immediately whenever their subscribers encounter them. Several experiments including wired and wireless streaming were conducted to show the effectiveness of the implemented AMP and QoE monitoring system. Experimental results demonstrate that AMP significantly improves the QoE of streaming services according to the Mean Opinion Score (MOS) estimated by our developed program. Additionally, some challenging issues in wireless streaming have been easily identified using the developed QoE monitoring system.

scholarly journals Enhancing the quality of experience of Arduino-based multiplayer online game using MQTT server

2020 ◽  
Vol 8 (1) ◽  
pp. 36-43
Author(s):  
Gabe Dimas Wicaksana ◽  
Maman Abdurohman ◽  
Aji Gautama Putrada
Keyword(s):  
Quality Of Experience ◽  
Communication Protocol ◽  
Online Game ◽  
Multiplayer Games ◽  
Message Queue ◽  
Opinion Score ◽  
The Mean ◽  
Multiplayer Online Game ◽  
Internet Networks

Online multiplayer games require internet networks to play with opposing players more exciting because multiple players can fight each other. The game experiences lag, which is expressed as the quality of experience (QoE), is one of the most common problems for online multiplayer games, causing the games less exciting to play. This study examined the implementation of Message Queue Telemetry Transport (MQTT) as a communication protocol in multiplayer online games using Arduino and compared its performance against HTTP. QoE used data collected using the mean opinion score (MOS) method. The MQTT resulted in an average QoE score of 3.9 (Pingpong) and 4 (TicTacToe) MOS units, while on HTTP 3.8 (PingPong and TicTacToe). The use of the MQTT communication protocol can improve the QoE of multiplayer online game players compared to HTTP.

scholarly journals Nonintrusive Method Based on Neural Networks for Video Quality of Experience Assessment

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Diego José Luis Botia Valderrama ◽  
Natalia Gaviria Gómez
Keyword(s):  
Neural Networks ◽  
Quality Of Experience ◽  
Video Quality ◽  
Similarity Index ◽  
Correlation Coefficients ◽  
Structural Similarity ◽  
Opinion Score ◽  
Measurement And Evaluation ◽  
Rate Correlation

The measurement and evaluation of the QoE (Quality of Experience) have become one of the main focuses in the telecommunications to provide services with the expected quality for their users. However, factors like the network parameters and codification can affect the quality of video, limiting the correlation between the objective and subjective metrics. The above increases the complexity to evaluate the real quality of video perceived by users. In this paper, a model based on artificial neural networks such as BPNNs (Backpropagation Neural Networks) and the RNNs (Random Neural Networks) is applied to evaluate the subjective quality metrics MOS (Mean Opinion Score) and the PSNR (Peak Signal Noise Ratio), SSIM (Structural Similarity Index Metric), VQM (Video Quality Metric), and QIBF (Quality Index Based Frame). The proposed model allows establishing the QoS (Quality of Service) based in the strategyDiffserv. The metrics were analyzed through Pearson’s and Spearman’s correlation coefficients, RMSE (Root Mean Square Error), and outliers rate. Correlation values greater than 90% were obtained for all the evaluated metrics.

scholarly journals Balanceamento de Tráfego entre Servidores de Vídeo MPEG-DASH em Redes Definidas por Software

2019 ◽  
Author(s):  
Edenilson Jônatas dos Passos ◽  
Adriano Fiorese
Keyword(s):  
Quality Of Experience ◽  
Optimal Choice ◽  
Network Congestion ◽  
End User ◽  
Video Distribution ◽  
Ip Network ◽  
Bandwidth Limitation ◽  
Streaming Service ◽  
Server Overload

With popularization of video streaming service in recent years, new video distribution technologies have been created. Currently, one of the most promising ones is the Moving Picture Expert Group Dynamic Adaptive Streaming over HTTP or MPEG-DASH. However, with the limitation of the TCP/IP network structure, the end user quality of experience may be affected. This is due to several factors such as network congestion, bandwidth limitation, non-optimal choice of a content provider server and server overload. This article presents a load-balancing solution between MPEG-DASH video servers based on Software Defined Networks, using as a balancing metric the throughput of the content server.

scholarly journals Analysis of the Cost of Varying Levels of User Perceived Quality for Internet Access

2020 ◽  
Author(s):  
Ali Adib Arnab ◽  
John Schormans ◽  
Sheikh Razibulhasan Raj ◽  
Nafi Ahmad
Keyword(s):  
Quality Of Service ◽  
User Experience ◽  
Quality Of Experience ◽  
Internet Access ◽  
End User ◽  
Opinion Score ◽  
Commercial Organizations ◽  
The Cost ◽  
Qos Metrics

Quality of Service (QoS) metrics deal with network quantities, e.g. latency and loss, whereas Quality of Experience (QoE) provides a proxy metric for end-user experience. Many papers in the literature have proposed mappings between various QoS metrics and QoE. This paper goes further in providing analysis for QoE versus bandwidth cost. We measure QoE using the widely accepted Mean Opinion Score (MOS) rating. Our results naturally show that increasing bandwidth increases MOS. However, we extend this understanding by providing analysis for internet access scenarios, using TCP, and varying the number of TCP sources multiplexed together. For these target scenarios our analysis indicates what MOS increase you get by further expenditure on bandwidth. We anticipate that this will be of considerable value to commercial organizations responsible for bandwidth purchase and allocation.

scholarly journals Traffic Steering for eMBB in Multi-Connectivity Scenarios

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2063
Author(s):  
Jesús Burgueño ◽  
Isabel de-la-Bandera ◽  
David Palacios ◽  
Raquel Barco
Keyword(s):  
Quality Of Experience ◽  
Performance Metrics ◽  
5G Networks ◽  
Network Nodes ◽  
Opinion Score ◽  
Data Rates ◽  
Throughput Improvement ◽  
Radio Resources ◽  
Traffic Steering

Multi-connectivity (MC) is one of the most important features to be introduced in 5G networks, allowing User Equipment (UE) to simultaneously aggregate radio resources from several network nodes to enhance both data rates and reliability. Thus, this feature enables a further flexibility in the allocation of resources to the UEs in order to fulfil the users’ requirements in more complex 5G scenarios. This paper takes advantage of this wide flexibility to present a traffic steering approach that determines the amount of traffic to be held by each of the serving nodes in a multi-connectivity scenario. In this sense, the proposed technique is based on network and UE performance metrics in order to maximize the users’ perceived quality of experience (QoE) for enhanced Mobile Broadband (eMBB) services. It is then compared with a homogeneous traffic split among the serving nodes, with a single-connectivity approach and with state-of-the-art solutions. The benefits are analysed in terms of throughput and Mean Opinion Score (MOS), which is the main QoE metric. The analysis shows that a noticeable UE throughput improvement is reached when the proposed traffic steering method is applied. Consequently, this enhancement is noticed in the users’ QoE, which can lead to a reduction of operating expenses (OPEX) of the network.

scholarly journals An Optimized User Prioritized Service Provisioning in LTE Network

2020 ◽  
Vol 8 (6) ◽  
pp. 5093-5297
Keyword(s):  
Quality Of Experience ◽  
Scheduling Algorithm ◽  
System Capacity ◽  
Network Simulator ◽  
Service Provisioning ◽  
Lte Network ◽  
Exponential Increase ◽  
Radio Resources ◽  
User Priority

An exponential increase in the number of multimedia users over LTE network necessitates user prioritization and differentiated services support. LTE standard has defined Quality of Service (QoS) class-based user priority rather than priority among users within a QoS class. However, when the cell load exceeds the system capacity, Quality of Experience (QoE) of all the users may deteriorate due to lack of radio resources allocated to them. Under these circumstances, some users of interest may be prioritized over other users in the cell during resource allocation to enhance their QoE. In this paper, Proportional Fair (PF) scheduling algorithm Based User Priority (PFBUP) mechanism is proposed to prioritize organizational users over other users. Performance evaluation of the proposed mechanism is carried out using QualNet 7.1 network simulator by varying priority coefficient for the organizational users.

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