华南理工大学学报(自然科学版) ›› 2010, Vol. 38 ›› Issue (6): 35-41.doi: 10.3969/j.issn.1000-565X.2010.06.007

• 电子、通信与自动控制 • 上一篇    下一篇

多信道无线多跳网络中视频流的跨层优化

黄鑫1  冯穗力1  柯峰1  庄宏成2   

  1. 1.华南理工大学 电子与信息学院, 广东 广州 510640;2.华为技术有限公司, 广东 深圳 518129
  • 收稿日期:2009-09-03 修回日期:2009-10-20 出版日期:2010-06-25 发布日期:2010-06-25
  • 通信作者: 黄鑫(1984-),女,博士生,主要从事无线多跳网络跨层优化研究. E-mail:huang.xinl@mail.scut.edu.cn
  • 作者简介:黄鑫(1984-),女,博士生,主要从事无线多跳网络跨层优化研究.
  • 基金资助:

    粤港关键领域重点突破项目(20060104-2)

Cross-Layer Optimization of Video Stream in Multi-Channel Wireless Multihop Networks

Huang Xin1  Feng Sui-liKe Feng1  Zhuang Hong-cheng2   

  1. 1.School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China;2.Huawei Technologies Co.,Ltd.,Shenzhen 518129,Guangdong,China
  • Received:2009-09-03 Revised:2009-10-20 Online:2010-06-25 Published:2010-06-25
  • Contact: 黄鑫(1984-),女,博士生,主要从事无线多跳网络跨层优化研究. E-mail:huang.xinl@mail.scut.edu.cn
  • About author:黄鑫(1984-),女,博士生,主要从事无线多跳网络跨层优化研究.
  • Supported by:

    粤港关键领域重点突破项目(20060104-2)

摘要: 为提高视频流在多信道无线多跳网络中的传输质量,提出了一种分布式的跨层优化算法.首先对信道分配、干扰、带宽分配、延时分配和视频传输失真进行了数学建模,然后基于凸规划和拉格朗日对偶分解理论,在视频流端到端延时限制下通过调整信源编码速率、链路带宽、链路平均延时上限及射频和信道分配来最小化总的视频流失真.理论分析和数值仿真表明,所提出的分布式跨层优化算法可以收敛到全局最优解.

关键词: 无线多跳网络, 跨层优化, 视频流失真, 凸规划, 拉格朗日对偶分解

Abstract:

In order to improve the transmission quality of video streams in multi-channel wireless multihop networks,a distributed cross-layer optimization algorithm is presented.In this algorithm,first,the channel allocation,interference,bandwidth allocation,delay allocation and video stream distrotion are all modeled.Then,based on the convex programming and the theory of Lagrangian dual decomposition,the total distortion of the video streams under end-to-end delay constraints is minimized by adjusting the source coding rate,the link bandwidth,the upper average link delay and the radio-frequency and channel allocation.Theoretical analyses and numerical simulations show that the proposed distributed algorithm can converge to the global optimum.

Key words: wireless multihop network, cross-layer optimization, video stream distortion, convex programming, Lagrangian dual decomposition