QoE oriented cross-layer design of a resource allocation algorithm in beyond 3G systems
Computer Communications
A generic quantitative relationship between quality of experience and quality of service
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
Application flow control in YouTube video streams
ACM SIGCOMM Computer Communication Review
Understanding the impact of video quality on user engagement
Proceedings of the ACM SIGCOMM 2011 conference
Quantification of YouTube QoE via Crowdsourcing
ISM '11 Proceedings of the 2011 IEEE International Symposium on Multimedia
Utility-based resource allocation and scheduling in OFDM-based wireless broadband networks
IEEE Communications Magazine
Standardization activities in the ITU for a QoE assessment of IPTV
IEEE Communications Magazine
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With the introduction of 4th generation mobile networks, applications such as high-quality video streaming to the end user becomes possible. However, the expected demand for such services outpaces the capacity increase of the networks. Since there is mostly a capacity bottleneck in the air interface between a base station and user equipment, one of the main challenges for radio resource management is therefore to enforce precise quality guarantees for users with high expectations on service quality. We consider, in this paper, an OFDMA access network with YouTube users, and address the challenge of improving the quality of experience (QoE) of a dedicated user by utilizing the buffered playtime of a YouTube video for scheduling. The advantage of this approach is that scheduling is done according to the instantaneous throughput requirement of the end user application, and not by the network by maintaining average quality-of-service (QoS) parameters. The paper describes the concept and provides a simulative evaluation of the approach in an LTE network to demonstrate the benefits.