Network adaptive packet scheduling for streaming video over error-prone networks

Jong Ok Kim, Hideki Tode, Koso Murakami

Research output: Contribution to journalConference article

Abstract

In packet networks including the Internet and commercial 3G wireless bearers, network conditions that a streaming application experiences are not known a priori and exhibit time-varying characteristics. For such environments, network-adaptive techniques are important to efficiently stream video. In this paper, we propose an adaptive packet scheduling algorithm for streaming video over error-prone networks. A MAP (Maximum A Posteriori) framework is incorporated for adapting to time-varying network loss rate. By MAP-based dynamic network estimation, the proposed scheduler adaptively performs video packet transmissions over time-varying networks. Also, packet transmission schedules are optimally determined in a distortion-optimized way. For low computational complexity, the proposed packet scheduling algorithm is based on a new and simple distortion measure which is referred to the EFS (Expected Frame-rate Reduction). Simulation results for standard video sequence show that the proposed scheduling outperforms conventional ARQ-based schemes from a view point of frame loss rate and reconstructed video quality. In particular, the proposed scheduling algorithm shows significant improvement over highly lossy channel.

Original languageEnglish
Pages (from-to)241-246
Number of pages6
JournalProceedings - International Conference on Computer Communications and Networks, ICCCN
Publication statusPublished - 2004
EventProceedings - 13th International Conference on Computer Communications and Networks, ICCCN 2004 - Chicago, IL, United States
Duration: 2004 Oct 112004 Oct 13

ASJC Scopus subject areas

  • Computer Science(all)

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