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QoEUP: A Preference-Based QoE Optimization Scheme Using Human Feedback for Mobile Video Streaming
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DOI：10.1109/TNSE.2026.3651560.png)
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With the rising popularity of mobile video streaming, dynamic adaptive streaming over HTTP (DASH)-based bitrate adaptation has garnered significant attention in recent years. Existing studies in this area typically define a unified user quality of experience (QoE) by weighting various metrics, overlooking individual user preferences for QoE. Although some research has considered user preferences, it primarily focuses on optimizing bitrate selection alone, neglecting the joint allocation of communication resources that are tightly coupled with bitrate. In this paper, we propose QoE Optimization Enabler based on User Preference (QoEUP), a scheme for mobile video streaming, which dynamically adjusts bitrate, transmission power, and bandwidth based on channel quality and user preferences during mobility. The proposed scheme begins with training a reference model using deep reinforcement learning without incorporating user preferences. We then develop a user-friendly approach to collect user preferences and create a preference dataset. Finally, leveraging this dataset, we apply advanced direct preference optimization (DPO) to fine-tune the baseline model through supervised learning, effectively integrating individual QoE preferences. Simulation results demonstrate that QoEUP effectively aligns users' actual viewing experiences with their preferences in terms of video quality, playback smoothness, and device energy consumption.
Keyword:
Mobile video streaming
user preference
quality of experience
deep reinforcement learning
direct preference optimization
期刊
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7.9
论文数:
2.5K
被引数:
10.0K
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引用论文
Tang, X.W.; Huang, Y.; Shi, Y.; Wu, Q. MUL-VR: Multi-UAV Collaborative Layered Visual Perception and Transmission for Virtual Reality. IEEE Trans. Wirel. Commun. 2025, 24, 2734–2749. [Google Scholar] [CrossRef]Tang, X.W.; Huang, Y.; Shi, Y.; Wu, Q. MUL-VR: 虚拟现实中的多无人机协同分层视觉感知与传输。IEEE Trans. Wirel. Commun. 2025, 24, 2734–2749. [Google Scholar] [CrossRef].png)
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