Adaptive learning for scalable video transmission with HARQ over dynamic wireless channels | IEEE Conference Publication | IEEE Xplore

Adaptive learning for scalable video transmission with HARQ over dynamic wireless channels


Abstract:

This paper addresses the problem of dynamic, real-time video transmission control over a time-varying wireless channel. The problem of adaptive source coding control is s...Show More

Abstract:

This paper addresses the problem of dynamic, real-time video transmission control over a time-varying wireless channel. The problem of adaptive source coding control is studied on the basis of scalable video coding schemes. A video-layer-based hybrid automatic repeat request scheme is adopted to achieve adaptive error protection allocation. The problem of joint source-channel resource allocation over a time-varying wireless channel is posed as a constrained Markov Decision Process (MDP). The goal of the proposed video streaming MDP is to minimize the average end-to-end frame distortion with the constraint on the average transmission time for each layer. In order to address the issue of unknown channel dynamics and inaccurate distortion model, the R-learning-based on-line algorithm is adopted for learning the transmission police. To handle the constrained MDP with the standard R-learning algorithm, the constrained MDP is converted into an unconstrained MDP through the Lagrangian approach. The efficiency and convergence of the proposed learning algorithm are demonstrated with the simulation results.
Date of Conference: 08-12 June 2015
Date Added to IEEE Xplore: 10 September 2015
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Conference Location: London, UK

References

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