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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Cache-Aware Network Coding-Based Scheduling for SVC Multicast in Wireless Networks with Hard Deadline Constraints
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Cache-Aware Network Coding-Based Scheduling for SVC Multicast in Wireless Networks with Hard Deadline Constraints

机译：基于缓存的网络编码的SVC多播与硬截止日期约束的基于网络编码的调度

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摘要

To provide multi-resolution video for heterogeneous users in wireless networks, Scalable Video Coding (SVC) encodes a video bit stream into one base layer and several enhancement layers, on the basis of their contribution in recovering the video correspondingly. However, a decoding dependency is introduced into these layers and artful operation is required for SVC streaming. Meanwhile, each SVC packet is associated with a hard time constraint so that users can recover their desired video quality timely. This paper focuses on the network coding assisted SVC multicast with hard deadline constraints. Specifically, we consider the cache-aware model where users are able to store all received packets and decode out the desired packets when sufficient packets are obtained. We analyze the effect of cached network coded packets on the SVC packets scheduling process and the video quality improvement, and value that effect through assigning proper weight for each packet. We also take multiple factors that affect quality of experience into consideration, such as channel condition, request's deadline and user's packets receiving status. Moreover, we adopt the instantly decodable network coding (IDNC) technique to schedule SVC packets. According to packets weighting on the vertices of a well-structured two-layered IDNC graph, an effective heuristic algorithm is proposed to schedule the most valuable SVC packets combinations within acceptable complexity. Extensive simulation results verify the effectiveness and the quality of experience enhancement accomplished by the proposed algorithm.
机译：为了为无线网络中的异构用户提供多分辨率视频，可伸缩的视频编码（SVC）基于它们对应于恢复视频的贡献，将视频比特流编码为一个基层和多个增强层。然而，将解码依赖性引入这些层中，并且SVC流需要纵横操作。同时，每个SVC分组与硬时约束相关联，使得用户可以及时恢复所需的视频质量。本文侧重于网络编码辅助SVC多播，具有硬截止日期约束。具体地，我们考虑当获得足够的分组时用户能够存储所有接收的分组并在所需分组中解码所需的分组的高速缓存感知模型。我们分析缓存网络编码数据包对SVC报文调度过程和视频质量改进的影响，并通过为每个分组分配适当的权重来实现效果的值。我们还考虑到频道条件，请求截止日期和用户的数据包，这些因素影响了影响经验质量，例如频道条件，请求的截止日期和用户数据包。此外，我们采用即时可解码的网络编码（IDNC）技术来安排SVC分组。根据对结构良好的双层IDNC图形的顶点的分组，提出了一种有效的启发式算法来安排最有价值的SVC包组合在可接受的复杂性中。广泛的仿真结果验证了所提出的算法所完成的有效性和经验质量。

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