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A Neural Network Decision-Making Mechanism for Robust Video Transmission over 3G Wireless Network

  • Jianwei Wen
  • Qionghai Dai
  • Yihui Jin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

This paper addresses the important issues of error control for video transmission over 3G, considering the fact that wireless video delivery faces the huge challenge of the high error rate and time variability in wireless channel. This paper proposes a real world statistics based event-trigger bit error rate (BER) model, which can describe and handle the time-varying wireless channel error characteristics better. Moreover, a recurrent neural network is employed to decide the state transfer as a mechanism. Simulation results and comparisons demonstrate effectiveness and efficiency of the proposed method in term of visual performance and transmission efficiency over a variety of wireless channel conditions.

Keywords

Wireless Channel Error Control Recurrent Neural Network Video Transmission Feedback Message 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jianwei Wen
    • 1
  • Qionghai Dai
    • 1
  • Yihui Jin
    • 1
  1. 1.Department of AutomationTsinghua UniversityBeijingChina

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