Joint Source Adaptation and Resource Allocation for Multi-User Wireless Video Streaming
Joint Source Adaptation and Resource Allocation for Multi-User Wireless Video Streaming
复制标题
DOI：
10.1109/tcsvt.2008.919109
复制
发表时间：
2008-05
影响因子：
8.4
通讯作者：
Jianwei Huang;Zhuo Li;M. Chiang;A. Katsaggelos
中科院分区：
文献类型：
--
作者：
Jianwei Huang;Zhuo Li;M. Chiang;A. Katsaggelos
无线信道上的多用户视频流传输是一个具有挑战性的问题，其中对更好的视频质量和小的传输延迟的需求需要与有限的且经常时变的通信资源相协调。本文提出了一个框架，联合网络优化，源自适应，和最后期限驱动的调度多用户视频流在无线网络。我们开发了一种联合自适应，资源分配和调度（JARS）算法，该算法根据视频用户的服务质量来分配通信资源，根据智能摘要来调整视频源，并调度传输以满足帧交付截止日期。所提出的算法导致网络资源的接近充分利用，并满足所有视频帧的交付期限。与不考虑多个用户之间的交互的启发式方案相比，实现了实质性的性能改进。
Multi-user video streaming over wireless channels is a challenging problem, where the demand for better video quality and small transmission delays needs to be reconciled with the limited and often time-varying communication resources. This paper presents a framework for joint network optimization, source adaptation, and deadline-driven scheduling for multi-user video streaming over wireless networks. We develop a joint adaptation, resource allocation and scheduling (JARS) algorithm, which allocates the communication resource based on the video users' quality of service, adapts video sources based on smart summarization, and schedules the transmissions to meet the frame delivery deadlines. The proposed algorithm leads to near full utilization of the network resources and satisfies the delivery deadlines for all video frames. Substantial performance improvements are achieved compared with heuristic schemes that do not take the interactions between multiple users into consideration.