Towards dynamic QoS-aware over-the-top video streaming

Nam, Hyunwoo; Kim, Kyung Hwa; Kim, Bong Ho; Calin, Doru; Schulzrinne, Henning

doi:10.1109/wowmom.2014.6918921

Cited by 11 publications

(8 citation statements)

References 12 publications

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“…However, they typically require control of the application service to collect the reference input and outputs signals, which is difficult for network operators to OTT services and has not considered user factors. Pseudo-subjective evaluation method using artificial intelligence and statistics and other disciplines as theoretical support has the advantages of subjective evaluation methods and objective evaluation methods, the use of real-time, high accuracy, but it need to obtain sufficient data to conduct a more sophisticated model training [6].…”

Section: B Qoe Quantification and Evaluation Methodsmentioning

confidence: 99%

“…However, the paper has not obtained a specific mapping formula, just proved that considering user behavior factors can improve accuracy of the QoE prediction models. In [6] video start delay, re-buffer delay and re-buffer frequency could be predicted. The method is real-time but could not obtain a specific MOS value.…”

Section: B Qoe Quantification and Evaluation Methodsmentioning

confidence: 99%

“…In the experiment of [6], the player chooses HD (720p) video for iPad, Nexus 7 and iPhone 4S, and chooses HQ (360p) video for iPhone 3G and Nexus S 4G to adapt to the smaller screen.…”

Section: A Key Factorsmentioning

confidence: 99%

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QoE Issues of OTT Services over 5G Network

Feng-Hui

Zhou

2014

2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications

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Currently ， 4G network becomes commercial in large scale around the world and the industry has started the fifth-generation mobile communication technology (5G) research. Compared to 4G network, 5G network will support larger mobility as well as higher transmission rate, higher user experience rate, energy efficiency, spectrum efficiency and so forth. All of these will boost a variety of multimedia services, especially for Over-The-Top (OTT) services. So for, OTT services have already gained great popularity and contributed to large traffic consumption, which propose a challenge for operators. As OTT services are designed to deliver over the best effort Internet, the QoE management solutions for traditional multimedia services are obsolete, which propose new challenges in QOE management aspects for network and service providers, especially for the 4G and future 5G network. This paper attempts to present the technical challenges faced by 5G network from QoE management perspective of OTT services. Our objective is to enhance the user experience of OTT services and improve network efficiency. We analysis the characteristics and QoE factors of OTT services over 5G wireless network. With the QoE factors and current QoE management situation, we summarize OTT services QoE quantification and evaluation methods, present QoE-driven radio resource management and optimization solutions. Then, we propose a framework and whole evaluation procedure which aim at obtaining the accurate user experience value as well as improving network efficiency and optimizing the user experience.

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Section: B Qoe Quantification and Evaluation Methodsmentioning

confidence: 99%

Section: B Qoe Quantification and Evaluation Methodsmentioning

confidence: 99%

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QoE Issues of OTT Services over 5G Network

Feng-Hui

Zhou

2014

2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications

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“…Note that changing the streaming rate could be attained by changing the stream encoding for adaptive video [38] or by speeding the video download for both adaptive and non-adaptive video. In the latter case, this rate change is typically used to quickly fill in the user application buffer, e.g., Youtube fast start [28].…”

Section: Background and Related Workmentioning

confidence: 99%

“…The case of varying both video quality and download rate is beyond the scope of this work and is left as a future work. To this end, it is worth noting that many streaming systems persist on a specific video quality for the entire session; e.g., Youtube persists on a specific video quality for Android clients [28]. It is also assumed that the user requested rates are guaranteed by admission control and scheduling mechanisms in different networks, e.g., [15] and [11].…”

Section: System Modelmentioning

confidence: 99%

A framework for optimal cost media streaming in three-tier wireless networks

Al-Abbasi

Zahran

2016

Wireless Netw

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Heterogeneous networking is envisioned as a key solution for accommodating the traffic surge resulting from resource demanding applications such as video streaming. In this paper, the diversity in cost, coverage, and resource availability in heterogeneous systems is exploited to minimize the streaming session cost in three-tier integrated systems. A sub-optimal streaming decision engine is developed to overcome the complexity of the original problem whose solution contradicts with both the limited processing capabilities of end-user equipment and short handoff delay requirements. Our results show that the developed framework achieves significant monetary cost savings in comparison to typical greedy streaming behavior. Additionally, our solution can be easily tuned to compromise the tradeoff between monetary, signaling and quality cost components.

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