A framework of cross-layer design for multiple video streams in wireless mesh networks

Authors:
Peng Cheng;Zhaoyang Zhang;Hsiao-Hwa Chen;Peiliang Qiu
Affiliations:
Institute of Information and Communication Engineering, Zhejiang University, China;Institute of Information and Communication Engineering, Zhejiang University, China;Department of Engineering Science, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan, ROC;Institute of Information and Communication Engineering, Zhejiang University, China
Venue:
Computer Communications
Year:
2008

Citing 10
Cited 0

Data networks

Data networks
Video Processing and Communications

Video Processing and Communications
Convex Optimization

Convex Optimization
Design challenges for energy-constrained ad hoc wireless networks

IEEE Wireless Communications
Cross-layer design of ad hoc networks for real-time video streaming

IEEE Wireless Communications
Cross-layer optimization of wireless networks using nonlinear column generation

IEEE Transactions on Wireless Communications
A survey on wireless mesh networks

IEEE Communications Magazine
QoS routing in ad hoc wireless networks

IEEE Journal on Selected Areas in Communications
Analysis of video transmission over lossy channels

IEEE Journal on Selected Areas in Communications
Balancing transport and physical Layers in wireless multihop networks: jointly optimal congestion control and power control

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.24

Visualization

Abstract

In this paper, a novel cross-layer design framework for multiple realtime video traffics in CDMA wireless mesh networks is proposed. First, the performances of application, physical, MAC, and network layers are modeled by some classical models under reasonable assumptions. Then, we present a framework in which source coding, power control, ARQ control, and delay partitioning functionalities at different layers can be jointly optimized. Our objective is to maximize the video quality under strict end-to-end delay constraints through adjusting source coding rate, end-to-end delay distribution, and each node's transmit power. This optimization problem is proved to be a nonlinear but log-convex one. Finally, we propose a centralized solution based on the classical convex programming method, as well as a partially distributed solution based on the Lagrangian dual decomposition technique. The both solutions are proved to converge to the global optimum of the above problem.