Rate distortion optimization for mesh-based P2P video streaming

  • Authors:
  • Tareq Hossain;Yi Cui;Yuan Xue

  • Affiliations:
  • Vanderbilt Advanced NETwork Systems Laboratory, Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN;Vanderbilt Advanced NETwork Systems Laboratory, Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN;Vanderbilt Advanced NETwork Systems Laboratory, Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

This paper addresses the problem of optimal rate allocation for video streaming in a multi-path peer-to-peer mesh network. We present a distributed rate allocation algorithm that minimizes the total rate distortion among receiving peers. The scheme assumes that video streams can be transcoded/requantized at intermediate peers. We deploy a double pricing solution that simultaneously incorporates both the network and the relay constraints. We compare it with a single pricing solution where the relay constraint is applied only after all the communicating peers have converged. Our simulation shows that the double pricing solution consistently achieves a smaller aggregate distortion for all peers in comparison to the single pricing solution and thus achieves higher video quality.