Scalable video multicast in multi-carrier wireless data systems

Peilong Li, Honghai Zhang, Bao-hua Zhao, S. Rangarajan
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引用次数: 54

Abstract

Future 4G cellular networks are featured with high data rate and improved coverage, which will enable realtime video multicast and broadcast services. Scalable video coding is very appropriate for wireless multicast service because it allows to choose different modulation and coding schemes (MCSs) for different video layers and can provide good video quality to users in good channel conditions while still maintaining reasonable video quality for other users. In order to apply scalable video coding to wireless multicast streaming, it is important to choose appropriate MCS for each video layer and to determine the right resource allocation among multiple video sessions. In this paper we propose a two-step dynamic programming algorithm that finds the optimal total system utility of all users where the system utility can be a generic non-negative, non-decreasing function of received rate. Our algorithm supports variable layer size and thus allows flexibility during the video encoding process. 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.
多载波无线数据系统中的可扩展视频组播
未来的4G蜂窝网络具有更高的数据速率和更好的覆盖范围,这将使实时视频多播和广播服务成为可能。可扩展视频编码非常适合无线组播业务,因为它允许针对不同的视频层选择不同的调制和编码方案(MCSs),可以在良好的信道条件下为用户提供良好的视频质量,同时为其他用户保持合理的视频质量。为了将可扩展的视频编码应用于无线多播流,为每个视频层选择合适的MCS,并在多个视频会话之间确定正确的资源分配是很重要的。本文提出了一种两步动态规划算法,该算法求出所有用户的最优总系统效用,其中系统效用可以是接收率的一般非负非递减函数。我们的算法支持可变层大小,从而允许在视频编码过程中的灵活性。仿真结果表明,该算法比朴素算法和自适应贪婪算法在视频质量上有显著提高,特别是在具有多个真实视频序列和有限无线电资源的场景下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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