Efficient fair queueing using deficit round-robin
IEEE/ACM Transactions on Networking (TON)
Means and Methods for Collecting and Analyzing QoE Measurements in Wireless Networks
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
The QoE Evaluation Method through the QoS-QoE Correlation Model
NCM '08 Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management - Volume 02
QoE/QoS Improvement in Wireless Internet
INTERNET '09 Proceedings of the 2009 First International Conference on Evolving Internet
A QoE Based Evaluation of Service Quality in Wireless Communication Network
NISS '09 Proceedings of the 2009 International Conference on New Trends in Information and Service Science
A New Approach Measuring Users' QoE in the IPTV
PACCS '09 Proceedings of the 2009 Pacific-Asia Conference on Circuits, Communications and Systems
Unified simulation evaluation for mobile broadband technologies
IEEE Communications Magazine
Model-Based Approach to Measuring Quality of Experience
EMERGING '09 Proceedings of the 2009 First International Conference on Emerging Network Intelligence
Q-DRAM: QoE-based dynamic rate adaptation mechanism for multicast in wireless networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Evaluating quality of experience for streaming video in real time
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
User measures of quality of experience: why being objective and quantitative is important
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
An approach to modeling and control of QoE in next generation networks
IEEE Communications Magazine
Estimations and Remedies for Quality of Experience in Multimedia Streaming
CENTRIC '10 Proceedings of the 2010 Third International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services
Multimedia QoE optimized management using prediction and statistical learning
LCN '10 Proceedings of the 2010 IEEE 35th Conference on Local Computer Networks
QoE-based transport optimization for video delivery over next generation cellular networks
ISCC '11 Proceedings of the 2011 IEEE Symposium on Computers and Communications
CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users
IEEE Communications Magazine
Perceived Quality Measurement Model Supporting Full Session Mobility in Multimedia Service Delivery
Wireless Personal Communications: An International Journal
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With the development of smart phones, one of the hot research topics for wireless personal communication technologies has begun to transit from reaching higher communication capabilities to better Quality of Experiences (QoE). However, for streaming services, such as online music or online video, which is one of the mainstream services in the future wireless network, there is still no breakthrough optimization beyond the Quality of Service (QoS) hence the optimization results are not satisfactory. Based on our study, this problem could be relieved by altering the criterion of wireless resource allocation from enhancing users' QoS to enhancing their QoE, which specifically means that the scope of the research is extended from the so-called last mile between the network and the user equipment to the last few inches between the user equipment and the user himself. Unfortunately, it seems that all current QoE researches are still not jointly considering the users' environment and user equipments' performance, both of which are paramount factors of the last inches that will influence users' QoE directly and profoundly. Hence, in this paper, we propose a QoE model involving the environment and equipment factors, and then we use this model to guide the wireless resource allocation. Simulation results show that this resource allocation method will increase the effectiveness of network resource utilization as well as improve the average of satisfaction of users.