Experimental approach to quantify the performances of Quality of Experience (QoE)-aware resource management scheme in mobile network.

1. Network Efficient Resource Management
for Mobile Video Streaming
based on Quality of Experience
Ali Yavari, Pietro Lungaro and Zary Segall
yavari@kth.se

2. Mobile Data Traffic Increase
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3. Internet Traffic Volume
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4. Problem Statement
• How to keep equal or higher quality of experience without
sustaining the increased deployment costs needed to meet future
traffic demand?
- Deploy more infrastructure
- The cost for operators and end-user is proportional to the access port
deployed
- How can we deliver high QoE without dramatically increasing new costs
- Increase the user quality of experience in a shared and limited resource
wireless networks
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5. Architecture
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6. Test Bed
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7. Experiments
• Cases
- High Quality
- QoE-aware
- Interruption
- Distributed Interruption
• Approaches
- Single User
- Multi User
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8. Experiments
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• Content
- Provider: YouTube
- Video ID: W6tB8Lf7YoU
- Quality: 1080p, 720p, 480p, 320p, 240p
- Duration: 291 Seconds
- File Size: 130569570 Bytes
• Problem Detection

9. QoE Model
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10. Result
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11. Result Cont’d
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12. Conclusion and Future Work
• QoE-aware resource management scheme has the potential to
improve the quality of experience (QoE) for the video streaming
services as the highest traffic share in the current mobile
networks.
• The QoE model in this paper considered only both total duration of
video stream interruption during the playback and the served
video resolution.
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