浅析移动通信网络中的QoE

本文分析了QoE(体验质量)与其他概念(QoS、KPI/KQI)之间的关系,详细列举了各标准组织对QoE的研究现状,并对QoE未来的发展趋势做出预测,最后站在运营商的角度阐述了QoE研究的重要意义和可以着手开展的研究工作.     

3G优化：向基于用户体验全面提升

文章对运营商基于用户感知进行3G优化所取得成绩及存在问题加以总结，在此基础上，进一步明确用户感知与用户体验的差别，提出重视用户情感体验与评价，建立基于用户体验的3G环状优化体系的设想。     

QoE领域新进展及其在最小化路测（MDT）方面的新应用

用户体验质量（QoE）是重要的网络评价指标。文章首先讨论面向用户感受的网络质量评价的一些技术挑战：其次介绍QoE领域的数项最新进展,包括3G网络典型业务视频及多媒体QoE技术的科研进展及标准化进展,QoE指标体系研究的进展等;最后提出一种创新的面向QoE的MDT模式,以期推动QoE及网络建设,优化技术的发展。     

基于人工神经网络的3G业务QoE评估方法

通过对3G移动通信业务特点和用户体验QoE主要特性的分析,并结合人工神经网络算法的建模优势,提出了一种智能化的QoE评价方法。     

基于QoE评估的移动互联网优化策略研究

通过研究移动互联网中的QoE体系和评估方法,确定业务与网络之间的互相影响关系并建立统一优化模型,为进行移动互联网中业务与网络协同、提升用户体验奠定了基础。     

IPTV服务质量关键技术研究

IPTV服务质量直接影响用户的体验,是IPTV得以运营的关键技术之一。目前国内外致力于提高服务质量的技术研究,尚未形成标准。本文结合QoS和QoE分析IPTV服务质量的关键技术,从区分服务模型、MDI和基于IPv6的频道切换技术的角度提出改进IPTV服务质量的方案。     

Quantitative and qualitative research on service quality evaluation system in NGN

With the development of next generation network (NGN), reasonable service quality evaluation is essential in network management. Based on NGN service characteristics, this article presents a comprehensive service quality evaluation system from two perspectives: quantitative and qualitative. From the quantitative point of view, this article brings forward the normalized service level achievement function (NSLA function) at technical layer. Also, with mean opinion score (MOS) mode, it proposes customer satisfaction assessment methods at customer perception layer. From the qualitative perspective, a hierarchical model is established, which forms mapping relations from the upper customer perception to the lower service quality parameters, and then the influence of different service parameters on customer satisfaction degree can be denoted by the fuzzy analysis hierarchy process (FAHP) algorithm. Quantitative and qualitative evaluations together form a comprehensive solution which is universal, customer-oriented and flexible. Demonstrated by the representative voice service, the proposed system is proved reliable and applicable to service evaluation in NGN.     

A low-complexity psychometric curve-fitting approach for the objective quality assessment of streamed game videos

The increasing popularity of video gaming competitions, the so called eSports, has contributed to the rise of a new type of end-user: the passive game video streaming (GVS) user. This user acts as a passive spectator of the gameplay rather than actively interacting with the content. This content, which is streamed over the Internet, can suffer from disturbing network and encoding impairments. Therefore, assessing the user’s perceived quality, i.e the Quality of Experience (QoE), in real-time becomes fundamental. For the case of natural video content, several approaches already exist that tackle the client-side real-time QoE evaluation. The intrinsically different expectations of the passive GVS user, however, call for new real-time quality models for these streaming services. Therefore, this paper presents a real-time Reduced-Reference (RR) quality assessment framework based on a low-complexity psychometric curve-fitting approach. The proposed solution selects the most relevant, low-complexity objective feature. Afterwards, the relationship between this feature and the ground-truth quality is modelled based on the psychometric perception of the human visual system (HVS). This approach is validated on a publicly available dataset of streamed game videos and is benchmarked against both subjective scores and objective models. As a side contribution, a thorough accuracy analysis of existing Objective Video Quality Metrics (OVQMs) applied to passive GVS is provided. Furthermore, this analysis has led to interesting insights on the accuracy of low-complexity client-based metrics as well as to the creation of a new Full-Reference (FR) objective metric for GVS, i.e. the Game Video Streaming Quality Metric (GVSQM).     

Measurement of video initial buffer size for mobile network

To resolve the difficulty in accurately measure the length of video initial buffering queue,two video platforms,non-encrypted Youku and encrypted YouTube,were selected to research,and the video initial buffer queue length measurement method was proposed.By identifying and analyzing the characteristics of video traffic,correlating the traffic behavior with the playing state,constructing video fingerprint database,accurate measurement of queue length was realized.The experimental results show that the measurement results of the two types could be accurate to the frame,fully meeting the need to accurately evaluate the quality of the video experience.     

应用于数字和模拟光通信的高速电吸收光调制器

An electro-absorption （EA） modulator is one of key components for optical fiber communications due to the high speed, small size, low voltage and integration ability with other semiconductor devices. A 40 Gb/s InGaAsP/InP multiple-quantum-well （MQW） EA modulator monolithically integrated with a semiconductor optical amplifier （SOA） was fabricated for digital communications. The modulator capacitance was reduced to obtain 40 GHz bandwidth, and the SOA section helped reduce the insertion loss from 18 dB to 3 dB. InGaAlAs/InP MQW EA modulators have also been fabricated and characterized for analog optical fiber communications. A low driving voltage of 2.7 V and high spurious free dynamic range of 107 dB·Hz^2/3 were estimated by static and dynamic measurements.