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首页> 外文期刊>Networking, IEEE/ACM Transactions on >Scalable Video Multicast With Adaptive Modulation and Coding in Broadband Wireless Data Systems
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Scalable Video Multicast With Adaptive Modulation and Coding in Broadband Wireless Data Systems

机译:宽带无线数据系统中具有自适应调制和编码功能的可伸缩视频组播

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摘要

Future mobile broadband networks are characterized with high data rate and improved coverage, which will enable real-time video multicast and broadcast services. Scalable video coding (SVC), combined with adaptive modulation and coding schemes (MCS) and wireless multicast, provides an excellent solution for streaming video to heterogeneous wireless devices. By choosing different MCSs for different video layers, SVC can provide good video quality to users in good channel conditions while maintaining basic video quality for users in bad channel conditions. A key issue to apply SVC to wireless multicast streaming is to choose appropriate MCS for each video layer and to determine the optimal resource allocation among multiple video sessions. We formulate this problem as total utility maximization, subject to the constraint of available radio resources. We prove that the formulated problem is NP-hard and propose an optimal, two-step dynamic programming solution with pseudo-polynomial time complexity. Simulation results show that our algorithm offers significant improvement on the video quality over a naive algorithm and an adapted greedy algorithm, especially in the scenarios with multiple real video sequences and limited radio resources.
机译:未来的移动宽带网络具有数据速率高和覆盖范围广的特点,这将支持实时视频多播和广播服务。可伸缩视频编码(SVC)与自适应调制和编码方案(MCS)以及无线组播相结合,为将视频流传输到异构无线设备提供了出色的解决方案。通过为不同的视频层选择不同的MCS,SVC可以为处于良好信道条件下的用户提供良好的视频质量,同时为处于不利信道条件下的用户保持基本的视频质量。将SVC应用于无线多播流的关键问题是为每个视频层选择适当的MCS,并确定多个视频会话之间的最佳资源分配。我们将这个问题表述为总效用最大化,但要考虑可用无线电资源的限制。我们证明了所提出的问题是NP难的,并提出了具有伪多项式时间复杂度的最优两步动态规划解决方案。仿真结果表明,与单纯算法和自适应贪婪算法相比,我们的算法在视频质量上有显着提高,尤其是在具有多个真实视频序列和无线电资源有限的情况下。

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