摘要： 在长期演进系统中,受到边缘用户的影响,视频组播的资源分配策略通常效率不高,导致组播服务质量低下。针对该问题,将可伸缩视频编码与自适应调制编码相结合,提出一种能够适应用户信道变化和用户信道多样性的组播在线资源分配算法。在时间平均资源块消耗约束下,建立时间平均视频质量最大化的组播资源分配模型,并通过李亚普洛夫随机优化理论求解。实验结果表明,与MSML算法相比,该算法在相同带宽消耗的情况下能有效提高视频质量。

关键词: 长期演进系统, 可伸缩视频编码, 组播, 资源分配, 随机优化

Abstract: Affected by cell users,the resource allocation policies for multicast in Long Term Evolution(LTE) system are usually inefficient,which causes the low quality of multicast service.Aiming at this problem,this paper proposes an online resource allocation algorithm for multicast to adopt change and diversity of user channel by combining Scalable Video Coding(SVC) with Adaptive Modulation and Coding(AMC).It formulates the problem as maximizing the time average video quality subject to the time average resource blocks constraint,then solves the problem via the theory of Lyapunov stochastic optimization.The simulation results show that,compared with MSML algorithm,the proposed algorithm can improve video quality effectively at the same bandwidth consumption.

Key words: Long Term Evolution(LTE) system, Scalable Video Coding(SVC), multicast, resource allocation, stochastic optimization

中图分类号: 

• TP393