Web QoE Evaluation in Multi-agent Networks: Validation of ITU-T G.1030

Abstract

User's requirements have become a key factor for any Quality of Service (QoS) management model to succeed. The advent and rise of new broadband services and network architectures (Triple-Play-Services, NGN…) depends on the ability of providers to achieve user's expectations in these scenarios. For that reason, the overall end user's perception (Quality of Experience -QoE) must be audited, on a regular basis, to address changing user's needs. This paper presents a general system developed to evaluate QoE on IP networks. The system architecture is designed to be capable of emulating multi agent networks and dynamically changing conditions. In addition, the results of a Web browsing QoE experiment, laid out within this emulation system, are described. The experiment was conducted on the basis of ITU-T Recommendation G.1030, and aimed to update the perceptual model, provided in this Recommendation, to today's user requirements and technical improvements.

Performance Analysis of Scheduling Algorithms for Web QoE Optimization in Wireless Networks

“…In the carried out experiment in [23] 36 people were consulted. Participants were requested to search for a given web page, and then the result was displayed after a certain controlled delay.…”

Interference Shaping for Improved Quality of Experience for Real-Time Video Streaming

“…For web browsing applications, a similar logarithmic dependency of QoE on session time (page download time) was shown to be highly accurate in [17]. The following relation accounting for the QoE of a user transitioning from a fast to slow network (which is the case with interference shaping) is used.…”

“…We also evaluate the decrease in QoE of best effort data users due to transmit power (and hence rate) smoothing by their respective BSs. To the best of our knowledge this is the first work to use the recently developed Weber-Fechner Law (WFL) based framework proposed for web QoE modeling in [16] and [17] for accessing the impact of a network algorithm. WFL quantifies the response of human sensory system to an external stimulus.…”

The Affect of Two Cryptographic Constructs on QoS and QoE for Unmanned Control Vehicles

“…Ibarrola et al examine web QoE evaluation in multiagent network with validation of the International Telecommunication Union (ITU)-T G.1030 framework [9]. The authors propose an update of the current G.1030 standard by taking into consideration QoE of the user expectations and the user feedback.…”