• DocumentCode
    163637
  • Title

    Rate-Optimization for Scalable Video Transmission over Wireless Networks

  • Author

    Bocus, M.Z. ; Coon, J.P.

  • Author_Institution
    Telecommun. Res. Lab., Toshiba, Bristol, UK
  • fYear
    2014
  • fDate
    14-17 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we present a rate-optimization procedure for the transmission of scalable video sequences (e.g., the scalable extension of the H.264/AVC standard), over wireless channels. In particular, we propose a method of specifying the extractable rate points in the scalable bit stream such that the expected transmission rate is increased and the probability of not transmitting any video layer is reduced. The problem is formulated as an optimization problem. Although the problem is non-linear and non-convex, we show through simulations that it is possible to converge to the global optimal solution using numerical methods provided adequate initialization points are chosen. The low complexity of the numerical methods make such approaches suitable for rapidly changing environments. It is further demonstrated through simulations that, for given channel conditions, a limit on the level of granularity of the scalable video stream exists, beyond which the increase in the expected transmission rate is minimal, but a reduction in the compression efficiency is inevitable.
  • Keywords
    concave programming; data compression; nonlinear programming; probability; radio networks; video coding; video streaming; wireless channels; compression efficiency reduction; nonconvex problem; nonlinear problem; numerical method; probability; rate-optimization; scalable bit stream; scalable video sequence transmission; scalable video stream granularity; wireless network channel; Fading; Mutual information; Optimization; Signal to noise ratio; Streaming media; Video coding; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/VTCFall.2014.6966150
  • Filename
    6966150