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首页> 外文期刊>IEEE transactions on mobile computing >Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design
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Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design

机译：多用户协作移动视频流：性能分析和在线机制设计

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摘要

Adaptive bitrate streaming enables video users to adapt their playing bitrates to the real-time network conditions, hence achieving the desirable quality-of-experience (QoE). In a multi-user wireless scenario, however, existing single-user based bitrate adaptation methods may fail to provide the desirable QoE, due to lack of consideration of multi-user interactions (such as the multi-user interferences and network congestion). In this work, we propose a novel user cooperation framework based on user-provided networking for multi-user mobile video streaming over wireless cellular networks. The framework enables nearby mobile video users to crowdsource their cellular links and resources for cooperative video streaming. We first analyze the social welfare performance bound of the proposed cooperative streaming system by introducing a virtual time-slotted system. Then, we design a low complexity Lyapunov-based online algorithm, which can be implemented in an online and distributed manner without the complete future and global network information. Numerical results show that the proposed online algorithm achieves an average 97 percent of the theoretical maximum social welfare. We further conduct experiments with real data traces, to compare our proposed online algorithm with the existing online algorithms in the literature. Experiment results show that our algorithm outperforms the existing algorithms in terms of both the achievable bitrate (with an average gain of 20 similar to 30 percent) and social welfare (with an average gain of 10 similar to 50 percent).
机译：自适应比特率流传输使视频用户能够使他们的播放比特率适应实时网络条件，从而实现理想的体验质量（QoE）。然而，在多用户无线场景中，由于缺乏对多用户交互的考虑（例如多用户干扰和网络拥塞），现有的基于单用户的比特率自适应方法可能无法提供理想的QoE。在这项工作中，我们提出了一种基于用户提供的网络的新型用户合作框架，用于无线蜂窝网络上的多用户移动视频流。该框架使附近的移动视频用户能够众包其蜂窝链接和资源以进行协作视频流。我们首先通过引入虚拟时隙系统来分析所提议的协作流系统的社会福利绩效界限。然后，我们设计了一种基于Lyapunov的低复杂度在线算法，该算法可以以在线和分布式方式实现，而无需完整的未来和全球网络信息。数值结果表明，提出的在线算法平均可实现理论上最大社会福利的97％。我们进一步用真实的数据轨迹进行实验，以将我们提出的在线算法与文献中现有的在线算法进行比较。实验结果表明，我们的算法在可实现的比特率（平均收益为20，相当于30％）和社会福利（平均收益为10，约为50％）方面均优于现有算法。

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