QoE-aware resource allocation for scalable video transmission over multiuser MIMO-OFDM systems
QoE-aware resource allocation for scalable video transmission over multiuser MIMO-OFDM systems
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DOI：
10.1109/vcip.2012.6410733
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发表时间：
2012-11
期刊：
影响因子：
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通讯作者：
M. Li;Zhenzhong Chen;Yap-Peng Tan
中科院分区：
文献类型：
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作者：
M. Li;Zhenzhong Chen;Yap-Peng Tan
本文研究了在多输入多输出（MIMO）-正交频分复用（OFDM）系统中传输可伸缩视频时如何最大限度地提高多用户体验质量（QoE）。首先，我们研究了可伸缩视频编码（SVC）适应的QoE问题，通过构建一个QoE评估数据库。我们得出了最佳的可伸缩性适应轨道为个人视频，并进一步总结了共同的可伸缩性适应轨道分组视频。提出了一种SVC自适应的速率模型，并在多用户MIMO-OFDM系统中设计了一种有效的SVC流资源分配方案。具体地，时频单元分配、功率分配和调制选择被联合优化以最大化用户的QoE。实验结果表明，所提出的QoE感知的可伸缩性自适应方案的性能明显优于传统的自适应方案，并且与现有的资源分配方法相比，所提出的QoE感知的资源分配方法实现了更好的QoE性能。
We investigate in this paper how to maximize multiuser Quality of Experience (QoE) when scalable videos are transmitted over Multiple-Input Multiple-Output (MIMO)-Orthogonal Frequency Division Multiplexing (OFDM) systems. We first study the QoE issues in Scalable Video Coding (SVC) adaptation by constructing a QoE assessment database. We derive the optimal scalability adaptation track for individual video and further summarize common scalability adaptation tracks for grouped videos. A rate-model is developed for SVC adaptation and is employed in designing an efficient resource allocation solution for SVC streaming over multiuser MIMO-OFDM systems. Specifically, time-frequency unit assignment, power allocation, and modulation selection are jointly optimized to maximize users' QoE. Experimental results show that the proposed QoE-aware scalability adaptation scheme significantly outperforms the conventional adaptation schemes, and the proposed QoE-aware resource allocation achieves better QoE performance when compared to existing resource allocation methods.