Prioritized flow optimization with generalized routing for scalable multirate multicasting

Authors:
Junni Zou;Hongkai Xiong;Li Song;Zhihai He;Tsuhan Chen
Affiliations:
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, P.R.China;Department of Electronic Engineering, Shanghai Jiao Tong University, P.R. China and Dept. of Electrical and Computer Engineering, Carnegie Mellon University;Department of Electronic Engineering, Shanghai Jiao Tong University, P.R. China;Department of Electrical and Computer Engineering, University of Missouri-Columbia;Dept. of Electrical and Computer Engineering, Carnegie Mellon University
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

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Abstract

This paper addresses the performance optimization for scalable video coding and multicast over networks. Multi-path video streaming, network coding based routing, and network flow control are jointly optimized to maximize a network utility function defined over heterogeneous receivers. Importantly, contextual priors of scalable video layers are imposed on the flow routing optimization problem, seeking to guarantee the transmission cost for each layer in an incremental order and find jointly optimal multicast paths and associated rates. Through a primal decomposition and the primal-dual approach, a decentralized algorithm with two-level optimization update is developed to solve the target convex optimization problem. Numerical and simulation results validate the convergence and network performance of the proposed algorithm.