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首页> 外文期刊>IEEE systems journal >QoE-Oriented Rate Allocation for Multipath High-Definition Video Streaming Over Heterogeneous Wireless Access Networks
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QoE-Oriented Rate Allocation for Multipath High-Definition Video Streaming Over Heterogeneous Wireless Access Networks

机译：异构无线访问网络上面向QoE的速率分配用于多路径高清视频流

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摘要

Global mobile video traffic is predicted to grow explosively in the near future and high-definition (HD) video streaming applications are increasingly prevailing over the mobile Internet. To optimize the transmission performance of HD video streaming applications over the heterogeneous wireless access networks, multipath video streaming that exploits the multihoming features of mobile devices is proposed as a potential solution. However, the delivery of HD video has much higher bitrate and more stringent delay constraint than other services. It is thus challenging to transfer HD video through wireless networks. Conventionally, multipath video streaming is optimized by the video distortions or other network-level quality-of-service parameters, which do not correlate well with the human visual perceptions. To address this problem, we first propose a novel quality-of-experience (QoE) prediction model to prefer the QoE values of different rate allocation scenarios over heterogeneous wireless access networks. Then, the rate allocation problem over heterogeneous wireless networks is formulated as a nonlinear optimization problem of maximizing the perceived video quality at the receiver. A relaxing function called penalty function is exploited to transform the rate allocation problem into an unconstrained optimizing problem and the pattern search method is adopted to obtain the close-to-optimal solution in each rate allocation session. The extensive simulation results show that our proposal significantly improves the QoE in terms of mean opinion score compared with the reference schemes.
机译：预计在不久的将来，全球移动视频流量将爆炸性增长，高清（HD）视频流应用程序将在移动Internet上日益普及。为了优化HD视频流应用程序在异构无线访问网络上的传输性能，提出了利用移动设备的多宿主功能的多路径视频流作为一种潜在的解决方案。但是，高清视频的传输比其他服务具有更高的比特率和更严格的延迟约束。因此，通过无线网络传输高清视频具有挑战性。传统上，多路径视频流是通过视频失真或其他网络级别的服务质量参数来优化的，这些参数与人类的视觉感知并没有很好的关联。为了解决此问题，我们首先提出一种新颖的体验质量（QoE）预测模型，以比异构无线接入网络更喜欢不同速率分配方案的QoE值。然后，将异构无线网络上的速率分配问题表述为最大化接收器感知视频质量的非线性优化问题。利用一种称为惩罚函数的松弛函数将速率分配问题转化为无约束的优化问题，并采用模式搜索方法来在每个速率分配会话中获得接近最佳的解决方案。广泛的仿真结果表明，与参考方案相比，我们的建议在平均意见得分方面显着提高了QoE。

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